Summary
Sujan Shirol is a data scientist with five years of experience building production-grade GenAI and NLP solutions across aerospace and industrial domains, now developing agentic AI at GE Aerospace using Claude Sonnet, LangChain, and AWS Bedrock. He has a strong track record of end-to-end delivery—from research and fine-tuning LLMs, RAG, and vector DB integration at Rolls-Royce to forecasting and speech-NLP work at Gramener. Sujan combines academic grounding (MTech in Data Science & ML) with hands-on deployment experience including vLLM, Mistral, and MLOps best practices, plus earlier work on recommendation and time-series ensembles for large-scale retail data. Colleagues rely on him to translate experimental AI techniques into stakeholder-ready products that improve operations and decision-making. An attention-to-detail practitioner, he also documents and operationalizes models (DVC, Sphinx) to ensure reproducibility in production.
5 years of coding experience
5 years of employment as a software developer
Master of Technology - MTech Data Science and Machine Learning, Master of Technology - MTech Data Science and Machine Learning at PES University
Bachelor of Engineering - BE Computer Science Engineering, Bachelor of Engineering - BE Computer Science Engineering at Visvesvaraya Technological University
High School, High School at Basaveshwar International Public School
Intermediate degree Physics Chemistry Mathematics Biology, Intermediate degree Physics Chemistry Mathematics Biology at The Vision Education Group