Avinav G.

About Avinav G.

I am an AI and Computer Vision researcher with a Master’s degree in Computer Science from NYU, where I specialized in AR/VR, computational photography, and deep learning. My work blends academic research with industry innovation, with a focus on designing scalable AI solutions that bridge cutting-edge research and real-world applications.Currently, as Technical Product and Data Science Lead at Shorthills AI, I\'m directing a 40+ engineering team to build B2B an AI-powered dealership valuation platform serving US automotive dealers. This role has allowed me to scale GenAI and data science solutions from research concepts to enterprise-grade systems supporting $100M+ M&A transactions, while scaling the data engineering team from 5 to 40+ members.Previously, as Co-Founder of YOUTH HealthTech, I developed a multimodal AI platform that leverages face, eye, and audio data to predict 20+ health biomarkers with up to 90% accuracy. This technology delivers early health risk detection, personalized prevention plans, and interactive medical insights, enhancing user engagement by 20%.At Samsung Research, I spearheaded the development and commercialization of AI-powered computational photography features for flagship devices, including a patented lightweight DNN model for real-time image matting. This innovation topped global benchmarks (AlphaMatting.com) and earned recognition from Google CEO Sundar Pichai and MKBHD. My contributions also include advancing camera systems, monocular depth estimation, and AI-powered bokeh effects, with measurable impacts on product adoption and user experience.In research, I’ve authored publications and patents in multimodal learning, and human computer interaction(HCI). My work has advanced the application of AI in computational photography, AR/VR, and health tech, demonstrating a commitment to pushing the boundaries of what machine learning can achieve in practical domains.Technically, I bring expertise in Python, TensorFlow, PyTorch, C++, OpenCV, CUDA, and cloud platforms like AWS and GCP, alongside experience in GPU optimization, generative AI, and data modeling. With a deep understanding of both foundational ML techniques and emerging AI fields, I am committed to exploring opportunities that push the boundaries of AI in academia and industry.I’m currently seeking roles that allow me to further contribute to AI research. Let’s connect to discuss how we can collaborate on impactful innovations in AI and ML.

Experience

1. Technical Product Lead

   Shorthills Ai

   Sep 2025 — Present

   Technical Product and Data Lead, Account Manager for US Automotive ClientLeading a cross-functional team of 40+ data scientists, analysts and engineers to build an AI-powered valuation platform for US automotive dealerships- Build Product Strategy. Orchestrated a week-to-week sprints to deliver a need-to-have product, defining the roadmap for Data Science, Data Engineering, GenAI, and App Development tracks- Spearheaded GenAI Innovation. Architected AI Insights and Data modules, utilizing LLMs to generate real-time competitive threat analysis and personalized dealer insights- Oversaw Data Engineering pipeline transition to Spark-based pipelines processing 2.2M+ vehicle records, reducing processing time by 75%- Directed Valuation Modelling Algorithms alongside MLOps Process with <3% error targets, supporting M&A deals- Recognised by client leadership for driving phenomenal progress that was instrumental in securing executive buy-in and future funding.

Education

• New York University

  Master of Science - MS, Computer Science

• Delhi Public School Mathura Road

  High School, Science and Engineering

  2012 — 2014

• Delhi College of Engineering

  Bachelor's Degree, Computer Software Engineering

  2014 — 2018