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Vetted Segmentation fault developer in the United States (UTC-5)
I am [Gopal Chitalia](https://scholar.google.com/citations?user=QncMQEIAAAAJ&hl=en), a graduate student at Purdue University and working with Prof. [Jan Anders Mansson](https://www.purdue.edu/engineering/mdlab/mansson/) on fault detection in motors using deep learning in a joint project with Wistron. Additionally, I'm working with Prof. [Junjie Qin](https://engineering.purdue.edu/people/junjie.qin.1) on transfer learning application using LLMs for optimizing power networks. I have had the privilege of working at [Center for Building Science Lab](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcbs.iiit.ac.in%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UCjKsb98EbNq8jGvbf%2F5TEETyHMI1gnMx20lLBeQmog%3D&reserved=0) under the supervision of Prof. [Vishal Garg](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.co.in%2Fcitations%3Fuser%3DvyH26MIAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=pDBa4RZtT0eg4rN%2FdvVtv3q%2F6goK1EEVT6%2F6UeGPcw4%3D&reserved=0). I have previously been a Research Assistant/Visiting ML Scholar at the [Smart Grid Research Unit](https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.sgru.eng.chula.ac.th%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UAp49aqIF2oxM3WIO5IS68gTyMLeYsKR5ENaosJMhvk%3D&reserved=0) (SGRU) under [Manisa Pipattanasomporn](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.com.sg%2Fcitations%3Fuser%3D4W2KIQkAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Pey86yYp3KpRPj9d9a97nzxLxQGMkQrN%2BFASqUqyheQ%3D&reserved=0) (Adjunct Faculty, Virginia Tech). In addition to my academic pursuits, I have also contributed to the industry in the domains of Energy Efficiency, IoT, and Machine Learning. I have worked at [ClevAir](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fclevair.io%2Fen%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=nonCkudNp3cFUL2CNs6rMHm0HyQXSnh9lhoJ76s5xus%3D&reserved=0) (Norway) as a **Data Scientist** and Growthworks.ai (CA, USA) as an **ML Scientist/Energy Demand Expert**. My research work on predicting short/long-term energy prediction in office/residential buildings using machine learning is published in [Applied Energy](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fabs%2Fpii%2FS0306261920309223%3Fvia%253Dihub&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=V%2Bq5MVSeJ7deNpE%2F%2FEP1PYrsrEVWEH%2FwNK1yAG4CPlM%3D&reserved=0). The results improve the state-of-the-art results by 20-40%. I am also an active reviewer at Applied Energy. Furthermore, I have collaborated on a building-level dataset paper which has been published in [Nature Scientific Data](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nature.com%2Fsdata%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=rtv6fVxtvuYsk5NAwwR8ujauC1AfX9cs32w4evIj%2BZU%3D&reserved=0). Previously, I have also worked with Prof. [Jyotirmay Mathur](https://scholar.google.co.in/citations?user=AmGPPL4AAAAJ&hl=en) at the [Centre for Energy & Environment](http://www.mnit.ac.in/dept_cree/index.php), MNIT Jaipur on Predicting time ahead heating/cooling energy demand HVAC systems. Moreover, as an independent research student, I also collaborated with Prof. [Praveen Paruchuri](https://scholar.google.com/citations?user=ILUqgKEAAAAJ&hl=en) of [Machine Learning Lab](https://mll.iiit.ac.in/), IIIT-H for Reinforcement Learning (RL) applications for controlling HVAC systems.
Vetted Segmentation fault developer in the United States (UTC-8)
Experienced in the field of AI/ML/CV/NLP and Full Stack with 9 years of experiences. Hands on experiences in data science and machine learning, including data analysis, data modeling, statistics, time series analysis & forecasting, data visualization, neural network, machine learning, NLP, object tracking, image processing, object detection, etc using Tensorflow, pytorch, keras and so on and full stack developement such as ReactJS, AngularJS, VueJS, ExpressJS, NodeJS, Laravel, Django, FastAPI, SQL, MongoDB, WordPress, Android, Flutter and so on.
Vetted Segmentation fault developer in Germany (UTC+1)
An analytical and resourceful professional with extensive experience in designing, implementing, and maintaining resilient and scalable systems. Throughout my career, I have developed solid skills and achieved out-of-the-box results for our shareholders and stakeholders. · Repeated success in deploying monitoring and alerting solutions, conducting root cause analysis, and deploying proactive measures to prevent service disruptions. · Prudent in spearheading execution of robust monitoring systems to identify potential issues and minimise downtime. · Astute in improving reliability, performance, and efficiency of cloud-based infrastructure and services. · Visionary leader with proven expertise in leading, mentoring, and coordinating staff, through effective management of organizational diversity. My areas of expertise include: ● Cloud Infrastructure Management ● Automate Deployment & Orchestration ● Performance Monitoring & Optimisation ● Continuous Integration/Deployment (CI/CD) ● Incident Response & Resolution ● Scalability Planning & Execution ● Infrastructure as a Service (IaaS) ● Policies & Procedures Compliance ● Network Architecture ● Project Management ● Agile Methodologies ● Effective Communication
Vetted Segmentation fault developer in Mexico (UTC-6)
Leticia Díaz is a consultant with 12 years of experience in Banking, Retail, Insurance and Pharmaceutical industries related to Statistical analysis, Business Intelligence and Machine Learning algorithms whose main objective is to produce predictive and prescriptive analytics to ensure that the organization has efficient and timely analytics to support their strategy execution. Possesses skills in finance, logistics, business intelligence, engineering, data science and prevention of money laundering. It applies a leading financial planning and analysis capability to inform Senior Management on key trends and analysis of the most significant variables.
Vetted Segmentation fault developer in India (UTC+6)
Highly skilled Quality Assurance Engineer with over 8+ years of experience in software testing. Proven expertise in leading QA teams, implementing quality assurance strategies, and driving process improvements. Seeking a Lead Quality Assurance Engineer role to leverage my skills in ensuring top-notch quality throughout the project lifecycle.
Amazon
Vetted Segmentation fault developer in New Zealand (UTC+13)
I am a Software/DevOps engineer with 10 years of experience in the industry. With an Honors Degree in Computer Science and a strong background in programming languages, FullStack development, cloud technologies, and DevOps. I have led architectural designs for robust and reliable cloud solutions and worked on mission-critical infrastructure projects.
Vetted Segmentation fault developer in Colombia (UTC-5)
I am a Graduate in Applied Mathematics and Computer Science with a strong background in data science. Throughout my career, I've demonstrated the ability to develop innovative machine learning solutions that drive strategic business objectives. Now, I seek to take my experience to the next level, becoming an expert in deep learning technologies, such as LLMs and Computer Vision, to solve complex business problems. My results-oriented approach, my advanced technical skills as well as soft skills like problem solving, team-work and effective communication make me an ideal candidate for a AI / Machine Learning Engineering roles.
Vetted Segmentation fault developer in Costa Rica (UTC-6)
Fullstack Developer | Software Architect | Tech Speaker | Forbes business promises of LATAM I am a Full-stack Software Developer and Architect with 15 years of experience in the software development industry. I am passionate about launching products and the full life cycle of software development, and I specialize in creating products from scratch. As an expert in helping small companies and startups, I have worked tirelessly to help my clients achieve their goals. I am a hard worker, honest, and responsible, which has helped me earn my clients' and colleagues' trust and respect. As a passionate and dedicated software developer, I'm always looking for ways to stay up-to-date with emerging technologies and trends. I have a proven track record of solving complex problems and translating technical requirements into actionable plans, delivering scalable and robust solutions that meet client needs and exceed expectations. I have collaborated with design firms, software studios, and digital agencies, which has allowed me to gain extensive experience in the field. With a wide range of technical skills, including expertise in Nodejs, NextJS, React, Angular, PHP, Python, Java, AI, ChatGPT, Crypto NFT, and Smart Contracts, I am well-equipped to handle any software development project. I am also experienced in managing teams and potentiating people skills, which creates a positive and productive work environment. As a software developer, I have worked in various industries, including fintech, education, and entertainment. I am an expert in API Restful, third-party integration, and data manipulation, which allows me to add more value than just code to the projects I work on. If you are looking for a cooperative, highly skilled, and experienced Full-stack Software Developer and Architect for your next project, I would be delighted to be your go-to person. Let's discuss how my skills and experience can help you take your projects to the next level.
Vetted Segmentation fault developer in India (UTC+6)
· Over 18 years of experience in software development including leadership roles in **Project Management, Architecture Design, Research & Innovation** · More than 12 years of experience in leading and implementing data analytics using descriptive, predictive, and prescriptive analytics across diverse domains, including **Telecom, Finance, Customer and Marketing Analytics, as well as Network and Cybersecurity analytics** · **Master’s** in data science and engineering from BITS Pilani · Extensive hands-on experience in leveraging **Business Intelligence, Big Data tools Statistical Models, Machine Learning, Deep Learning, NLP techniques, Large Language Models (LLMs), Forecasting Techniques, Recommendation systems, and Graph Analytics** to deliver innovative and data-driven solutions · Hand-on experience in multiple programming languages like **C, C++, Java, Scala, Golang** and Proficient in **Python** · Hands-on experience with data science frameworks and tools, including **Spark, Scikit-learn, TensorFlow, PyTorch, Lang Chain, OpenLLM, Vertex AI, Azure AI, and AWS Sage Maker** · Spearheaded **Advanced** **Research & Innovation,** developing proof-of-concepts **(POCs)** to solve complex business challenges · Designed and implemented Generative AI applications using **LLMs**, **RAG systems** with **Lang Chain** Framework and **Prompt Engineering** · In-Depth understanding of state-of -the-art language models (LLMs) and architectures, training and fine-tuning methodologies · Deployed scalable End to End Big data AI/ML solutions in **AWS/GCP** cloud and on-prem Infrastructure, leveraging Containerization Technologies (**Docker, K8S**), **ML Ops**, and **CI/CD** automated pipelines to deliver enterprise-grade solutions · **Built, led and mentored** a high-performing Data Science Team, fostering a culture of innovation and continuous learning · Literature review, workshops, conferences and publish papers · Published my research as chapter in Rever Publishers: **Implementing Enterprise Cyber Security with Open-Source Software and Standard Architecture: Volume II**
Segmentation fault developer in the United States (UTC-5)
Highly skilled and experienced Principal DevSecOps Architect with a significant background in Software Engineering and CI/CD techniques. Known as an Automation enthusiast fostering a DevOps culture with automated solutions to revolutionize software development processes, steering digital transformation and creating a lasting business impact. Proven history of expertly streamlining automation processes and earning accolades along the way. Recognized as an architectural visionary and distinguished professional speaker, demonstrating strong leadership acumen and empowering multiple engineering teams.
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Why hire a Segmentation fault developer?
In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire a Segmentation fault developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Segmentation fault developers can help keep your website up-to-date.
How do I hire Segmentation fault developers?
To hire a Segmentation fault developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire Segmentation fault developers effectively and efficiently. Hire full-time Segmentation fault developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Segmentation fault developers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Segmentation fault developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Segmentation fault developers for your company, and let Arc handle the logistics.
Where do I hire the best remote Segmentation fault developers?
There are two types of platforms you can hire Segmentation fault developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Segmentation fault developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote Segmentation fault developers, consider niche platforms like Arc that naturally attract and carefully vet their Segmentation fault developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Segmentation fault developers.
Some factors to consider when you hire Segmentation fault developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Segmentation fault developers for hire.
How do I write a Segmentation fault developer job description?
Writing a good Segmentation fault developer job description is crucial in helping you hire Segmentation fault developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Segmentation fault developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire Segmentation fault developers, read our Software Engineer Job Description Guide & Templates.
What skills should I look for in a Segmentation fault developer?
The top five technical skills Segmentation fault developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Segmentation fault developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Segmentation fault developers to keep up with evolving technology and requirements.
What kinds of Segmentation fault developers are available for hire through Arc?
You can find a variety of Segmentation fault developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Segmentation fault developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Segmentation fault developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Segmentation fault developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Why is Arc the best choice for hiring Segmentation fault developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Segmentation fault developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Segmentation fault developers.
Every Segmentation fault developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified Segmentation fault developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
How does Arc vet a Segmentation fault developer's skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Segmentation fault developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified Segmentation fault developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Segmentation fault developers, you can rest assured that all remote Segmentation fault developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
How long does it take to find Segmentation fault developers on Arc?
Arc pre-screens all of our remote Segmentation fault developers before we present them to you. As such, all the remote Segmentation fault developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Segmentation fault developer in 72 hours, or find a full-time Segmentation fault developer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote Segmentation fault developers.
How much does a freelance Segmentation fault developer charge per hour?
Depending on the freelance developer job board you use, freelance remote Segmentation fault developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Segmentation fault developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire Segmentation fault developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
How much does it cost to hire a full time Segmentation fault developer?
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote Segmentation fault developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring Segmentation fault developers, check out our FAQs page.