Navodit Chandra

About Navodit Chandra

I am a Machine Learning and Computer Vision Engineer at Qualcomm, where I design and deploy solutions to solve complex engineering challenges.My experience spans across- Developing algorithms from the ground up to tackle real-world engineering problems- Prototyping and optimizing efficient deep learning models- Quantizing models for deployment on target hardware, balancing speed–accuracy trade-offs while ensuring fixed-point quality closely matches floating-point quality- Building end-to-end deployment pipelines for production and collaborating cross-functionally across teamsPreviously, I earned my Master’s degree from Carnegie Mellon University, specializing in Artificial Intelligence and Robotics. During my time at CMU, I completed coursework in Machine Learning, Deep Learning, Computer Vision, and Trustworthy AI Autonomy — forming a strong theoretical foundation and hands-on expertise.My research at CMU’s Mechanical and AI Lab focused on improving autonomous vehicle navigation at road intersections. I explored various attention mechanisms within transformer architectures to enhance driving performance and decision-making safety.I’m passionate about leveraging AI to develop impactful and efficient solutions to challenging real-world problems.

Experience

1. Senior Engineer

   高通

   Dec 2025 — Present · Hyderabad, IN

Education

• Carnegie Mellon University

  Master of Science - MS, Specialization in Artificial Intelligence and Robotics

  2021 — 2022

• Indian Institute of Technology, Kanpur

  Bachelor of Technology - BTech, Major in Mechanical Engineering | Minor in Electrical Engineering

  2017 — 2021