Summary
Rahul Tyagi is a Senior Manager (GenAI) and seasoned AI engineer with 11 years in the industry and 5+ years focused on AI/ML, specializing in NLP, computer vision and speech recognition. He designs and deploys production-grade multi-agent LLM systems—recently building iterative self-refinement and best-of-N sampling pipelines with Lama-3.1-8b, LangGraph and LangSmith—bringing research-grade reasoning improvements into real-time APIs. His background spans end-to-end ML work from RAG-based document search, SQL-from-NL and author deduplication to ONNX-optimized inference and edge-tuned speech models, reflecting a rare full-stack ML-to-deployment fluency. Rahul combines deep model work (Transformer, BERT, Jasper/DeepSpeech2) with graph and classical ML solutions, often improving latency and trust scores in practical systems. Based in New Delhi, he pairs strong engineering leadership with hands-on experimentation—evidenced by hackathon-winning speech recognition and productionized LangGraph apps—making him adept at turning novel research ideas into reliable products.
11 years of coding experience
4 years of employment as a software developer
Engineer’s Degree, Computer Science, 72.40%, Engineer’s Degree, Computer Science, 72.40% at Maharaja Surajmal Institute Of Technology (affiliated to Guru Gobind Singh Indraprastha University)
English