Summary
Ankit Ramchandani is a software engineer with seven years of experience building and researching machine learning and generative AI systems, currently contributing to GenAI efforts at Meta from Menlo Park. He holds a Master's in Machine Learning from Carnegie Mellon and a perfect CS bachelor's from Texas A&M, blending strong academic rigor with hands-on production experience. His background spans applied research—developing generalizable robot control policies and unsupervised image segmentation—to production deep learning at Facebook/Meta, where internships earned top ratings and led to impactful models and engineering improvements. He has also open-sourced novel epidemiological forecasting work and built perception pipelines for autonomous driving, showing a rare mix of breadth across robotics, public-health forecasting, and consumer-scale ML. Known for turning complex, heterogeneous data into deployable models, he combines curiosity-driven research with pragmatic engineering to ship real-world AI solutions.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, 4.00/4.00, Bachelor of Science - BS, Computer Science, 4.00/4.00 at Texas A&M University
Master of Science - MS, Machine Learning, 4.26/4.33, Master of Science - MS, Machine Learning, 4.26/4.33 at Carnegie Mellon University
High School, Science, Percentage: 95.2% (Rank: 2/110), High School, Science, Percentage: 95.2% (Rank: 2/110) at Birla School, Kalyan
English, Hindi