Summary
Bilal Hungund is a Sr. Data Scientist with nine years of experience specializing in OCR, RAGs/LLMs, time series modeling, and quantitative analysis, currently leading data science initiatives for Halliburton’s CSEE group across Saudi and Bahrain. He has built large-scale pipelines that convert 2–3 TBs of heterogeneous legacy geological documents (2M+ pages, 56+ formats) into Aramco-compliant structured datasets using custom ML-OCR, layout reconstruction, and open-source LLM stacks like Solar, Gemma, Llama and Mixtral. His work blends research and production—filing patents, publishing at industry conferences, and delivering physics-informed hybrid time-series models for drilling and emissions reduction. Comfortable across databases, PySpark, and dynamic programming, he also teaches deep learning at the graduate level and has applied ML to finance and ESG problems, revealing a rare mix of domain depth in energy plus hands-on LLM engineering.
9 years of coding experience
5 years of employment as a software developer
Master of Technology - MTech, Data Science, 3.66/4, Master of Technology - MTech, Data Science, 3.66/4 at SVKM's Narsee Monjee Institute of Management Studies (NMIMS)
Diploma, Computer Engineering, First Class Distinction, Diploma, Computer Engineering, First Class Distinction at MSBTE
Bachelor of Engineering - BE, Information Technology, Outstanding, Bachelor of Engineering - BE, Information Technology, Outstanding at University of Mumbai
English