Summary
Anoushka Vyas is a senior data scientist with 8 years of experience blending graph deep learning, representation learning, and optimization to build production-ready AI for enterprise and scientific domains. Based in Sunnyvale, she designs time-series foundation models and agentic libraries that translate natural language into executable programs, and she has deployed GNN-augmented MILP warm-starts that materially speed up Gurobi solvers. Her research on hyperbolic GNNs and graph signal processing has produced toolkits and peer-reviewed publications, and she applies those insights to biology and LLM alignment. Comfortable moving between research and product delivery, she has a track record of automating complex supply-chain and agricultural workflows and shipping RAG-based generative AI solutions. She holds an MS in Computer Science from Virginia Tech and a B.Tech (Hons) in ECE from IIIT-H, and she’s actively seeking collaborations at the intersection of graph AI and large language models.
8 years of coding experience
6 years of employment as a software developer
MSc Degree and PhD Candidate, Computer Science, MSc Degree and PhD Candidate, Computer Science at Virginia Tech
Bachelor of Technology - BTech (Honours), Electronics and Communication Engineering, Bachelor of Technology - BTech (Honours), Electronics and Communication Engineering at International Institute of Information Technology
High School Diploma, PCM, High School Diploma, PCM at Delhi Public School Bhopal
English, Hindi, Gujarati