Ishita Mediratta is an AI researcher and engineer with nine years of hands-on experience spanning iOS apps, web development, and cutting-edge deep learning research. Currently an AI Resident at Meta, she works on generalization in reinforcement learning, RLHF for large language models, transformers for sequential decision making, and open-ended learning. Her academic path at BITS Pilani and internships at Carnegie Mellon, IGIB, and UNIL show a strong interdisciplinary focus—tying computational neuroscience, genomics, and ML—illustrated by projects like spiking neural networks and 20x-optimized genomic similarity queries. She has production experience in zero-shot TTS, multi-GPU PyTorch experiments, and UI-centric Swift apps (4 App Store releases and a WWDC Scholar award). Comfortable moving between research and engineering, she combines deep quantitative skills with a knack for reproducible experiments and performance optimization. Based in Delhi, she brings a rare blend of genetics-aware deep learning and applied systems experience to AI problems.
9 years of coding experience
3 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Contributions:117 commits, 12 PRs, 126 pushes in 5 years 11 months
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