Summary
Vidhi Jain is a machine learning engineer and researcher with 11 years of experience, currently a Member of Technical Staff focused on generative AI, LLMs, and human-centered multimodal systems. A CMU ML master’s student with research stints at Harvard, Inria, IIIT, and IIT Delhi, she builds systems that model Theory of Mind, memory, emotion, and social reasoning to make AI that observes, remembers, and adapts to people. Her work spans safety-critical RAG pipelines, clinical LLM agents with explainable decision chains, and hybrid memory architectures for voice journaling, delivering measurable gains in retrieval relevance, clinical faithfulness, and latency. She combines neuroscience and psychology insights with advanced tooling (UMAP/HDBSCAN clustering, HNSW, LoRA, vLLM) to align AI personas to human cognitive styles. Notably, she has translated research into products and startups (NeuraScribe, menoVa.ai) and led large-scale, rubric-driven evaluations using LLMs-as-judges. Based in Pittsburgh, she blends rigorous empirical evaluation with a curiosity about how AI can help people better understand their own mental states.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech, Electrical Engineering Technologies/Technicians, Bachelor of Technology - BTech, Electrical Engineering Technologies/Technicians at Netaji Subhas Institute of Technology
10+2, 10+2 at The Heritage School, New Delhi
Master of Science - MS, Machine Learning, Master of Science - MS, Machine Learning at Carnegie Mellon University
English, Hindi, French