Mansi Garg — AI Researcher

𝐄𝐱-𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 & 𝐐𝐮𝐚𝐥𝐜𝐨𝐦𝐦 | 𝐌𝐒 𝐂𝐒 @ 𝐔𝐒𝐂 | 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐀𝐈 𝐭𝐡𝐚𝐭 𝐬𝐜𝐚𝐥𝐞𝐬 𝐟𝐫𝐨𝐦 𝐜𝐥𝐨𝐮𝐝 𝐭𝐨 𝐞𝐝𝐠𝐞, 𝐰𝐢𝐭𝐡 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐢𝐦𝐩𝐚𝐜𝐭 I design and build AI systems that don’t just work in research, but scale to millions of users and devices. From shipping enterprise-scale AI features at Microsoft to building on-device AI assistants at Qualcomm, and now advancing healthcare AI research at USC - I thrive at the intersection of AI, systems, and real-world impact. ✨ What excites me most: - Making LLMs & multi-agent systems reliable in messy, real-world codebases so developers spend more time creating, less time debugging. - Bringing AI on-device, ensuring privacy & accessibility for schools, hospitals, and underserved communities - without relying on the cloud. - Driving healthcare AI - radiomics, wearables, generative models - to help clinicians diagnose earlier, personalize treatments, and improve quality of life. 💡 I believe the future of AI isn’t just about smarter models - it’s about tangible benefits to humanity: reducing barriers to healthcare, empowering learners, protecting privacy, and building tools that augment human potential. 🚀 Whether it’s automating a 400GB+ codebase, fine-tuning biomedical LLMs, or prototyping an on-device assistant in 48 hours, I bring both big tech rigor and startup agility, with a track record of shipping results. 👉 Open to opportunities in AI-first companies, big tech, healthcare AI, robotics, and embedded AI, applying expertise in RAG, LLMs, multi-agent systems, and on-device AI to solve ambitious problems that matter.

Stackforce AI infers this person is a Healthcare AI and Machine Learning specialist with expertise in scalable AI systems.

Location: Los Angeles, California, United States

Experience: 5 yrs 9 mos