Summary
Sagar Joglekar is a Staff Machine Learning Scientist with 13 years of experience combining applied research, data science, and software engineering to build production-grade ML systems. He holds a PhD in Computer Science from King’s College London and an MS in ECE from UC Santa Barbara, and has driven R&D that produced patents, publications, and multi-million dollar revenue impact. At Intercom he focuses on agentic LLM architectures, planning, tool use and RL-based alignment for customer-support systems, while prior roles at Expedia and Nokia Bell Labs delivered large-scale NLU, multimodal understanding, and social-behavior modelling. Equally comfortable prototyping novel deep learning methods and hardening them into scalable services, he has a track record of turning interdisciplinary research into product features. Based in the UK, he brings a rare blend of academic rigor and pragmatic engineering, with a knack for leveraging privileged domain knowledge to squeeze extra performance from open-source models.
13 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at Vishwakarma Institute Of Technology
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at UC Santa Barbara
Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering at Savitribai Phule Pune University
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at King's College London
English, Marathi, Hindi