Summary
Rajarshi Ghoshal is a Senior Machine Learning Engineer with nine years of industry experience and 6+ years focused on ML research, blending deep interpretability work with production-grade engineering. He has led LLM evaluation and release frameworks at Microsoft Azure-OpenAI and IBM, authored first‑author research on reasoning failures in code LLMs, and turned interpretability findings into working fixes. In production, he’s built high-impact systems from fraud and underwriting models that materially improved revenue and savings to ML-driven automation and confidence-based routing for Real Broker’s AI platform serving 30,000+ agents. Currently pursuing an MSCS at Georgia Tech while researching distributed graph algorithms, he brings a rare combination of low-level performance optimization (MPI/LCI, Intel VTune) and applied LLM tooling (RAG pipelines, automated evaluation). Colleagues describe him as the kind of engineer who not only diagnoses how models fail internally but ships the engineering needed to make those insights operational.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Post Graduate Diploma, Data Science, Post Graduate Diploma, Data Science at International Institute of Information Technology Bangalore
Bachelor of Engineering (B.Eng.), Metallurgical Engineering, Bachelor of Engineering (B.Eng.), Metallurgical Engineering at Jadavpur University
English, Bengali, Hindi