Summary
Bhaskar Jha is a machine learning engineer at Meta with 11 years of experience building scalable multimedia and video systems, from research prototypes to production ML models powering ad personalization. He combines a strong academic background (MS in Computer Science from Stony Brook) and hands-on R&D at Samsung, where he led projects in video encoding, 3D simulation, and large-scale device monitoring that cut latencies and automated testing workflows. At Stony Brook he applied computer vision and cognitive-state modeling to educational experiences, collaborating with physics and psychology departments to infer student behavior from video. Proficient in Modern C++, Python, PyTorch and TensorFlow, Bhaskar bridges systems-level engineering and deep learning for video understanding and 3D reconstruction. Known for pragmatic intuition and rapid problem-solving, he has a track record of turning research ideas into deployable systems and IP. Based in the Bay Area, he enjoys tackling complex multimedia challenges that sit at the intersection of ML, signal processing, and real-world product constraints.
11 years of coding experience