Chayan Raj is a data-focused engineering leader with 9 years of experience blending software engineering, data engineering, and applied machine learning to deliver production-grade analytics and GenAI solutions. He holds an MS in Statistics and Machine Learning from Linköping University and has translated thesis research at Ericsson into a production PySpark framework that labeled millions of LTE data points and earned top thesis grades. At BMO and GE Healthcare he built optimized AWS data pipelines, improved BI capabilities by ~40%, and cut cloud costs and job times through PySpark and ETL optimizations. Currently leading GenAI projects as an Assistant Project Manager, he designs RAG/LLM integrations, evaluates model performance, and enforces responsible-AI practices while mentoring junior engineers. A lifelong learner and communicative storyteller, he complements technical depth (Spark, Python, SQL, AWS/GCP/Azure, Docker, Snowflake) with hands-on experience in agentic QA systems and practical NLP/vision work. Notably, his background spans from embedded hackathons and award-winning social-innovation projects to publishing technical essays as a Medium writer, underscoring a rare mix of product intuition and community-facing outreach.
9 years of coding experience
5 years of employment as a software developer
Master's degree (Part time - Distance Learning) Machine Learning, Master's degree (Part time - Distance Learning) Machine Learning at KTH Royal Institute of Technology
Bachelor of Technology - BTech Electrical and Electronics Engineering (3.32/4 GPA), Bachelor of Technology - BTech Electrical and Electronics Engineering (3.32/4 GPA) at Vellore Institute of Technology
senior secondary science, senior secondary science at Bal bharati Public School, Noida
Master of Science - MS Statistics and machine learning, Master of Science - MS Statistics and machine learning at Linköping University
The purpose of this research project is to gain knowledge in PyTorch framework and compare traditional CNNs to vision transformers, can transformers give a higher AUC when classifying Atypical Femoral Fracture / Normal Femoral Fracture?
Contributions:52 PRs, 247 pushes, 2 branches in 3 months
pytorchtransformerstraditionalvisionknowledge
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.