Summary
Rakhee Sharma is a Senior Machine Learning Engineer based in New York with 8 years of experience building production ML and deep learning systems across computer vision, medical imaging, recommender systems, and generative AI. She holds an MS in Computer Science from NYU and has blended academic research—developing transformer-based optical flow for high-frame-rate robotics and accelerated 3D MRI disease prediction—with industry impact at NVIDIA, First American, TransRe, and Meta. Rakhee has shipped recommender and session-based models, led cloud migrations and security-focused ML tooling, and recently deployed LLM and RAG-based solutions for reinsurance workflows. Her work spans the full ML lifecycle from research prototypes to scalable production, using PyTorch, Blender, HPC, and MLOps tools like Weights & Biases. Notably, she pairs research rigor with product-minded engineering, achieving measurable gains like a 30% reduction in project completion time and strong AUC/MRR results in applied projects. She is an avid learner who maintains a public portfolio (rvk007.github.io) reflecting both research and applied ML contributions.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at National Institute of Technology Mizoram
High School, PCM with Computer Science, High School, PCM with Computer Science at Kendriya Vidyalaya Picket,Secunderabad
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at New York University
Secondary School, PCM, Secondary School, PCM at Kendriya Vidyalaya Begumpet,Hyderabad