Rahul Sinha is a Senior AI/ML Engineer with ~9โ10 years of experience building and deploying enterprise-grade ML systems across finance, telecom, hospitality and HR. He blends hands-on Python and Node engineering with deep learning and NLP expertiseโshipping solutions from real-time fraud detection at scale to semantic CV matching and virtual assistant platforms used by tens of thousands. As a technical lead he has modernized legacy ERPs into microservices on GCP, built production-grade inference pipelines with Docker, FastAPI/DRF and Databricks, and driven measurable business impact (e.g., lifting shortlisting accuracy and blocking a significant share of fraud). Currently consulting for Barclays via Capgemini, Rahul is equally comfortable prototyping LLM/NLP models with PyTorch and Hugging Face as he is implementing CI/CD and cloud ML operations. He holds an MSc in Data Science from the University of Sheffield and is known for translating complex ML into practical, zero-downtime products through cross-functional leadership. A less obvious strength: he pairs statistical rigor (A/B testing, hypothesis testing) with production engineering, ensuring models are both performant and auditable.
9 years of coding experience
11 years of employment as a software developer
B.Tech Electrical Engineering, B.Tech Electrical Engineering at West Bengal University of Technology, Kolkata
Master of Science - MS Data Science, Master of Science - MS Data Science at The University of Sheffield
Contributions:2 PRs, 9 pushes, 3 branches in 4 years 8 months
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