Siddhant Garg is a research engineer with 11 years of experience building memory-augmented LLM experiences for smart glasses at Meta’s Wearables GenAI team, after three years improving post-training LLMs and RAG for Alexa at Amazon. He holds an MS in Computer Science from UW–Madison, where his thesis on representation learning informed practical text-classification solutions, and a BTech from IIT Bombay. Siddhant combines applied research and productionization—driving state-of-the-art QA results during an earlier internship and shipping adaptive fine-tuning methods for real-world conversational systems. Based in Sunnyvale, he blends low-level systems intuition (from work on Intel PT tracing and automated debugging) with cutting-edge generative AI, making him adept at bridging research prototypes and deployable agent experiences.
11 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Wisconsin-Madison
Indian Institute of Technology Bombay
AISSE (Class XII) CBSE, Maths, Biology, Physics, Chemistry, English, French, AISSE (Class XII) CBSE, Maths, Biology, Physics, Chemistry, English, French at Delhi Public School, Navi Mumbai
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