Aditya Khandelwal is a product-focused AI engineer and founder with nine years of experience building scalable, revenue-driving ML systems across startups and big tech. Currently pursuing an MBA and an MS in AI at Columbia, he blends strategic product leadership with hands-on ML engineering, most recently joining Amazon AGI Labs after driving AI product initiatives at Microsoft and founding Halo AI. He has a track record of turning ambiguous problems into production features—from a patented GPT-powered product comparison at Microsoft that processed millions of products per day to an on-device, quantized LLM assistant on Android. At inStorify he led a real-time, event-driven transformation that improved operational efficiency by 90% and enabled 3x growth in six months, demonstrating an uncommon mix of ops, infra, and growth intuition. Comfortable leading cross-functional teams and shipping MVPs quickly, he also builds evaluation frameworks (e.g., hallucination and factuality metrics) to measure trust and iterate models. Based in San Francisco, he pairs startup grit with corporate scale expertise to launch AI features that measurably boost engagement and revenue.
8 years of coding experience
4 years of employment as a software developer
Master of Business Administration - MBA, Dean's Honors with Distinction (Top 5%), Master of Business Administration - MBA, Dean's Honors with Distinction (Top 5%) at Columbia Business School
Executive MS in Artificial Intelligence and Machine Learning, Executive MS in Artificial Intelligence and Machine Learning at Columbia Engineering
Bachelor of Technology, Computer Engineering, CGPA: 9.68, Bachelor of Technology, Computer Engineering, CGPA: 9.68 at College of Engineering Pune
This is the code for Negation and Speculation Cue Detection and Scope Resolution using BERT, XLNet and RoBERTa
Contributions:1 review, 16 commits, 5 PRs in 1 year 5 months
pytorchnlptransformersspeculationxlnet
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Aditya Khandelwal - Member Of Technical Staff at Amazon