Pranav Agarwal is a data scientist and machine learning engineer with eight years of industry and research experience, holding a Master's in Data Science from UC Irvine and currently based in Salt Lake City. He blends applied research—improving cancer survival prediction with diffusion models and PCA-driven feature engineering at UCI—with production impact, having reduced security alert noise and achieved cloud cost savings at Airbus and delivered predictive maintenance and chatbot solutions at Safran and Novartis. Skilled across Python, C++, R, SQL, ML frameworks and AWS, he builds end-to-end systems from vector search and Neo4j knowledge graphs to containerized FastAPI services. Notably, he scaled sustainability document ingestion and hybrid retrieval pipelines that cut manual effort by 80% and boosted IR accuracy by 60%, showing a practical focus on automation and retrieval at scale. Passionate about applying AI to healthcare and aviation, he contributes to open-source and approaches problems with a blend of probabilistic methods and pragmatic engineering.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at Vellore Institute of Technology
This is a basic game developed using C++ where the user has to park his car in the desired location.
Contributions:7 commits, 2 PRs, 5 pushes in 1 year 6 months
cppgamebasic-gameparklocation
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.