Summary
Kaushik Patnaik is a Staff Research Engineer with 11+ years building 0-to-1 AI products and systems, currently developing multimodal agents and assistants for wearables at Meta. He combines deep research (CVPR/NeurIPS publications) and product-focused engineering from startups to hyperscalers, having led LLM-based autonomous agents at Minion.ai and vision/quantization work for Apple Vision Pro. Kaushik has strong end-to-end experience in production ML—data pipelines, evaluation frameworks, model compression, and satellite imagery CV—plus hands-on leadership as a tech lead and co-founder. He’s equally comfortable inventing novel algorithms (neural architecture search, mixed-precision quantization) and shipping them into real-world deployments, often reducing latency while improving accuracy. Based in California, he brings a pragmatic research mindset rooted in academic rigor from Georgia Tech, and a recurring theme in his career is turning complex, multi-modal research into robust, customer-facing systems.
11 years of coding experience
11 years of employment as a software developer
Masters in Computational Science and Engineering Machine Learning, Masters in Computational Science and Engineering Machine Learning at Georgia Institute of Technology
BTech Mathematics Computer Science Electrical Engg, BTech Mathematics Computer Science Electrical Engg at National Institute of Technology Rourkela
English