Summary
Sudheer Kolachina is a Senior AI Engineer based in Cambridge with 11 years of experience building speech, NLP and generative-AI systems across industry leaders including Oracle, AstraZeneca and Amazon. He combines deep computational linguistics training (PhD-level work at MIT) with hands-on engineering—shipping low-WER multilingual ASR, neural TTS voices, and language ID for code-mixed text—often in resource-constrained settings. His recent work spans LLM-driven misinformation detection, retrieval-augmented fact-checking, and production-focused Rust and PyTorch implementations. Sudheer has a track record of turning linguistic insights into practical models (e.g., forced alignment, pronunciation lexicons, syllabification algorithms and self-harm risk classifiers) and mentoring peers while driving high-impact POCs. Notably, he blends academic rigor with deployment experience across healthcare, clinical documentation and voice assistant domains, making him fluent at bridging research and product engineering.
11 years of coding experience
9 years of employment as a software developer
B.Tech Information and Communication Technology, B.Tech Information and Communication Technology at Dhirubhai Ambani Institute of Information and Communication Technology
Master of Science (MS) Computer Science and Engineering, Master of Science (MS) Computer Science and Engineering at International Institute of Information Technology Hyderabad (IIITH)
Doctor of Philosophy - PhD (ABD) Linguistics , Doctor of Philosophy - PhD (ABD) Linguistics at Massachusetts Institute of Technology
University of Delhi
Graduate coursework Statistical analysis using R, Graduate coursework Statistical analysis using R at Harvard University
English, Telugu, hindi-urdu, Italian, Hungarian