Hire the Top 2% of
Remote Ubiquitous Language Developers

Saurabh A.

Vetted Ubiquitous language developer in the United States (UTC-4)

A humble **AI / ML engineer and scientist** with 6+ years of success in design, development, and successful launch of **client-focused** solutions on **cloud** platforms, including experience for a Fortune 500 company **Oracle**, with a proven track record of delivering high-performance Objective Key Results (OKR) and **Artificial Intelligence patents**. PhD reseracher with experience in the execution of development roadmap, securing **cross-functional** stakeholder **consensus**, while consistently driving revenue growth as well as time and cost savings. CAREER HIGHLIGHTS * Awarded for a high-speed delivery (2 years delivery with >75% performance on OKR metrics) of a scalable AI application on cloud * Enhanced online deep learning under imperfect time series data for simulated & real-life applications * Created intent focused follow-up questions for **RAG** pipeline of LLM based conversational product * Conducted **prompt engineering** and **fine-tuning** to improve output of a PyTorch based **large language model**

Jamshet B.

Vetted Ubiquitous language developer in the United States (UTC-5)

I am an AI Software Engineer with over 10 years of experience in developing cutting-edge AI solutions for various industries. I’m proficient in Data Science, ML(Machine Learning), DL(Deep Learning), NLP(Natural Language Processing), CV(Computer Vision) and GenAI(Generative AI).

Jinu J.

Vetted Ubiquitous language developer in the United States (UTC-5)

I'm a .NET developer with experience working on web applications and distributed micro services.

Dev M.

Vetted Ubiquitous language developer in the United States (UTC-4)

As a seasoned full-stack developer with over 15 years of experience, I excel in leading large software development projects and delivering projects by aggressive deadlines. My passion lies in leveraging cutting-edge technologies to build cross-platform, AI-enabled applications. I primarily develop JavaScript, front ends and Python and Scala backends in AWS and Azure. In addition to developing full-stack solutions, I specialize in creating and deploying Spark and MLow and Spark pipelines that power and support these applications on the backend. I have extensive experience building integrations between SaaS providers like JIRA and Asana to serve enterprise use cases.

Mauro S.

Vetted Ubiquitous language developer in Canada (UTC-5)

Data Scientist with professional experience building, training, and testing production-grade machine learning models for AI applications. Proficient in Python. Hands-on skills at developing AI applications and deploying machine learning models in Docker. Master of Science degree in Mechanical Engineering. Extensive experience designing HVAC systems that reduce energy use and costs in buildings.

Wayne L.

Vetted Ubiquitous language developer in the United States (UTC-7)

GitHub: https://github.com/waynel LinkedIn: https://www.linkedin.com/in/wwwayneliu/ Note: For the past 12 months, I've been heavily focused on AI Engineering and AI-augmented Software Engineering - building features that use large language models (data entry automation, retrieval augmented generation and text-to-SQL chatbots) and experimenting with AI tools to improve my engineering workflow. I've been working as a software engineer for 10+ years that has been mainly focused on web application development and some systems development, in NYC and Boston. Have had full-time roles at 4 startups and 1 corporation. I come from a strong computer science background, having graduated from Carnegie Mellon University. My experience lies both in computer science fundamentals and shipping projects end-to-end as a full stack generalist - frontend, backend, data, and SRE. Having worked at startups, I've learned to be versatile, doing some minor product and project management as well. In addition, I've launched 3 full stack side projects. With 5 years of experience mentoring other engineers, I've conducted 50+ technical interviews and have been interviewed 20+ times. I enjoy helping others - it's fulfilling to help others level up while also helping my own continuous learning! Some potential areas I can help with: - brushing up on computer science fundamentals - preparing for software engineering interviews (data structures and algorithms coding problems, system design, behavioral) - pair programming on a project, recommending best practices for frontend, backend, data, and SRE - code review - debugging - testing - resume review - career strategy consultation

karan S.

Vetted Ubiquitous language developer in the United States (UTC-6)

I am an AI Engineer with 8+ years of experience in full-stack development, CI/CD, Containerization (docker) and Orchestration (k8n), Building Deep learning models, Fine-tuning LLM models, and building AI-driven agentic systems (AI apps and automation).

Gopal C.

Vetted Ubiquitous language 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.

Rob Z.

Vetted Ubiquitous language developer in the United States (UTC-5)

Rob Zimmerman is a versatile software developer with a knack for swiftly learning and adapting to new challenges. His expertise rests in backend development for both web applications (Python) and traditional application development (C++). In addition, he's well versed in cloud platforms such as AWS, and Google Cloud. Rob's entrepreneurial spirit shines through in projects such as Stackzilla, a Python ORM for managing application infrastructure, and 3 Up Golf, the world's first golf yardage book marketplace. His collaborative approach and dedication to delivering results make him a valuable asset to any team. View his full resume and background at [https://zimventures.com/resume/](https://zimventures.com/resume/) He also loathes talking about himself in the 3rd person and enjoys keeping things light.

David H.

Vetted Ubiquitous language developer in the United States (UTC-5)

Innovative software engineer with over 5 years of experience in full-stack development, specializing in crafting high-performance applications using React, Redux, and Python. I’ve successfully led the development of AI-driven recruitment tools that streamlined talent matching processes, significantly enhancing engagement workflows and insights for internal teams. My commitment to mentorship and industry best practices has not only improved team dynamics but also contributed to the overall success of our projects.