Summary
Srinidhi Bhat is a Senior Data Scientist based in Bengaluru with nine years of experience building productionized ML systems that bridge observability and natural language interfaces. At VuNet Systems he has driven R&D and product work on agentic LLM chatbots, RAG-based Q&A, and fine-tuned embedding models to turn logs and RCA histories into actionable insights and real-time corrective guidance. He combines hands-on deep learning, LLMOps and LangChain orchestration with pragmatic deployment skills across OpenAI APIs, Hugging Face, PyTorch and ClickHouse. Notably, he designed a joint attention encoder–decoder model that improved multi-task F1 scores and implemented active learning pipelines to cut labeling effort for NER-based log parsing. His background spans software engineering to ML research, giving him a rare fluency in both building pipelines and optimizing model behavior for operational use.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, 8.43 (10), Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, 8.43 (10) at Ramaiah Institute Of Technology
Master of Engineering - ME, Machine learning, 9.21 (10), Master of Engineering - ME, Machine learning, 9.21 (10) at Manipal School of Information Sciences
Postgraduate Degree, Data Science, 3.81 (4), Postgraduate Degree, Data Science, 3.81 (4) at International Institute of Information Technology Bangalore
English, Kannada, Telugu, Tulu, Hindi, Spanish