Anmol Agarwal is an ML framework engineer with 8 years of experience building robust, scalable machine learning and cloud systems, currently accelerating ML inference at Apple after research work on large-scale LLM speedups at Georgia Tech. He previously shipped performance and reliability features at Microsoft for Data Lifecycle Management and hybrid cloud work for telco operators, cutting SQL calls dramatically and automating preservation workflows impacting hundreds of thousands of files. His background blends production-grade C++ backend optimizations, PyTorch model development, and systems-level thinking from academia to industry. Notably, he improved paraphrase generation models at LG Soft by beating prior state-of-the-art across multiple metrics and led internal hackathons on blockchain and RAG tooling. Based in Cambridge, MA, he pairs a 3.92 MS from Georgia Tech and an IIT Delhi BTech with a pragmatic focus on turning research ideas into high-performance production systems. Colleagues appreciate his knack for finding cross-stack optimizations that yield large real-world gains.
8 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Master of Science - MS, Computer Science, 3.92, Master of Science - MS, Computer Science, 3.92 at Georgia Institute of Technology
High School Diploma, 96.4%, High School Diploma, 96.4% at Amity International School, Sec 46 Gurugram
Contributions:13 PRs, 9 pushes, 29 branches in 8 days
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