Summary
Aditya Siddhant is a Staff Research Engineer with a decade of experience building and scaling state-of-the-art LLMs and evaluation pipelines, currently shaping data and RL workflows for Llama at Meta’s Superintelligence Lab. He brings deep production and research experience from Google DeepMind and Google, where he led post-training, instruction tuning, and automatic evaluation efforts for Gemini and PaLM-era models, earning multiple rapid promotions and senior recognitions. Aditya specializes in the full data lifecycle for large-scale pretraining and RL—curating frontier reasoning datasets (math, code, STEM, puzzles) and designing high-throughput pipelines that improve model quality, diversity, and safety. His track record combines rigorous academic training (CMU MS, IIT Guwahati) with repeated high-impact deliveries recognized by senior leaders across projects like Gemini, Autoraters, and Metric-X. Outside of work he channels the same precision and curiosity into motorsports, snowboarding, CrossFit, chess, and photography—interests that subtly inform his experimental rigor and attention to detail.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (B.Tech.) Electrical and Computer Engineering, Bachelor of Technology (B.Tech.) Electrical and Computer Engineering at Indian Institute of Technology
Master's Degree Computational Data Science, Master's Degree Computational Data Science at Carnegie Mellon University
English, Hindi