Summary
Priyanshu Sinha is a Technical Lead based in Bengaluru with 9 years of experience building production-grade AI and ML systems, currently focusing on enterprise GenAI, LLM fine-tuning, and RAG solutions. He has hands-on success fine-tuning LLaMa 3.1 70B models, architecting Text2SQL frameworks, and integrating Graph DBs to deliver flexible enterprise search and document understanding products. His background ranges from building large-scale data pipelines and distributed database architectures to accelerating client onboarding and analytics automation that cut processing times by orders of magnitude. A pragmatic mentor and cross-functional collaborator, he has led teams to ship revenue-impacting ML products in finance, healthcare, and ecommerce. Outside work he’s an avid trekker and racket-sports enthusiast who brings the same curiosity and persistence to finding “data everywhere” and squeezing performance out of complex systems.
9 years of coding experience
6 years of employment as a software developer
Data Structure | coursera Python, Data Structure | coursera Python at University of Michigan
Specialisation in Deep Learning Deep Learning | Coursera, Specialisation in Deep Learning Deep Learning | Coursera at deeplearning.ai
Bachelor of Engineering (B.E.) Electrical and Electronics Engineering, Bachelor of Engineering (B.E.) Electrical and Electronics Engineering at Sir M Visvesvaraya Institute Of Technology
Kendriya Vidyalaya Sangathan
Post Graduation Program Data Science Engineering, Post Graduation Program Data Science Engineering at Great Lakes Institute of Management
English, Hindi