Arc helps you find and hire top freelance Segmentation fault engineers for your jobs. With 450,000+ software programmers available for hire on a freelance basis, we have one of the largest network of vetted talent. Our Silicon Valley-caliber vetting process helps ensure that you hire freelance Segmentation fault developers and experts that you can trust.
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.
Segmentation fault developer in Canada (UTC-4)
Results-driven QA Engineer with over 6 years of professional experience working on Automation Testing using Selenium WebDriver, Performance Testing using HP Load Runner, REST API’s, Mobile Testing, and Functional Testing. Demonstrated ability to design and implement test strategies, identify and resolve defects, and collaborate effectively with cross-functional teams to deliver robust software solutions.
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
Segmentation fault developer in Germany (UTC+1)
As an experienced Backend Software Engineer, I specialize in designing and developing scalable, high-performance applications using Java, Spring Boot, and microservices architecture, with a proven track record of improving system reliability and reducing processing times by leveraging modern DevOps tools.
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.
Segmentation fault developer in Indonesia (UTC+8)
Software Engineer expertise in Android Development with 9 years of experience in software engineering and application development. Can work alone or in team and detail oriented person.. Ready to work closely with both teams and customers to identify most efficient and beneficial solutions for process improvement. Interested in AI, VR and full stack development
Segmentation fault developer in India (UTC+6)
Experienced Automation and Manual Tester with 5+ years' expertise in designing robust automation frameworks. Proven in reducing regression test suite time by 50%, innovating automation techniques, and recognized for testing excellence. Committed to enhancing efficiency and reliability, poised to elevate testing capabilities for project success. Holding Certificate on Automation Testing with Selenium Java from GUVI
Segmentation fault developer in India (UTC+6)
Experienced Machine Learning Engineer with a demonstrated history of working in the information technology and services industry. Skilled in Neural Networks, OpenCV, Computer Vision, Deep Learning, and Image Processing. Strong engineering professional with a Bachelor's degree focused in Computer Science from University Of Mumbai.
Segmentation fault developer in India (UTC+6)
I am adept at various tasks such as A/B testing, Regression, Classification, Clustering, Time Series Forecasting, Image Classification, Text Classification, and Prompt Engineering with ChatGPT. I excel in performing comprehensive Exploratory Data Analysis (EDA), Data Cleaning, and Data Preparation using Python and SQL. Leveraging custom Python classes and functions, I ensure code reusability for effective Data Analysis, Model Training, Model Evaluation, and Visualization. My expertise extends to utilizing high-end boosting algorithms such as LightGBM, XGBoost, and CatBoost, incorporating Ensemble techniques for stable metrics and consistent prediction results. I employ custom Data Preparation techniques, develop custom layers, and architect models in TensorFlow. I create bespoke callbacks to enhance model training processes. For experiment tracking, I am proficient in using mlflow, Tensorboard, and Azure ML Workspace, while leveraging Dagshub for remote experiment tracking. My skills include automating data ingestion, training, evaluation, and prediction, achieving MLOps through modular coding practices. In addition to my technical capabilities, I specialize in creating stunning visualizations with a storytelling approach using Power BI and Tableau. I am enthusiastic about working in the field of cloud computing, specializing in building scalable and precise AI models. My goal is to continually advance my skills in artificial intelligence, staying abreast of the latest developments. I am dedicated to fine-tuning my expertise to develop comprehensive AI tools that effectively address new and complex business problems.
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Get startedArc helps you build your team with our network of full-time and freelance software developers worldwide, spanning 190 countries.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
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 developers, 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.
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 engineers 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 developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Segmentation fault programmers 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 developer candidates.
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.
Writing a good Segmentation fault developer job description is crucial in helping you hire Segmentation fault programmers 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 programmers, read our Software Engineer Job Description Guide & Templates.
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.
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 programmers, 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.
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 (both for depth in Segmentation fault and breadth across the greater domain). 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 engineer 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.
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.
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 programmer in 72 hours, or find a full-time Segmentation fault programmer 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.
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.
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.