Kaushik Patnaik

About Kaushik Patnaik

I like building 0 to 1.As a seasoned AI and Machine Learning leader, I specialize in building cutting-edge models and systems that leverage deep learning, large language models (LLMs), and computer vision. With over a decade of experience, I have worked across the tech landscape, from co-founding a startup building autonomous agents to leading projects with real-world deployment at organizations like Apple and Orbital Insight.Previously, as the ML Lead at Minion.ai, I drove the development of autonomous web-based agents, building end-to-end systems that can execute complex tasks such as booking travel or managing calendars. Work included building robust evaluation frameworks, creating data pipelines, and post-training LLMs.Prior to Minion.ai, I was a Senior Applied Research Scientist at Apple, contributing to the Vision Pro team by developing advanced neural architecture search techniques and mixed-precision quantization algorithms. Work was published in top-tier conferences like CVPR and NeurIPS and has had direct applications in reducing latency while improving model accuracy.My journey also includes being a tech lead at Orbital Insight, where I led teams and projects focused on object detection and semantic segmentation for satellite imagery, increasing the accuracy and efficiency of these models across various domains.

Experience

1. Staff Research Engineer

   Meta

   Sep 2024 — Present · Menlo Park, CA, US

   Building Multimodal AI Agents & Assistants for Wearables

Education

• Georgia Institute of Technology

  Masters in Computational Science and Engineering, Machine Learning

  2013 — 2015

• National Institute of Technology Rourkela

  BTech, Mathematics, Computer Science, Electrical Engg

  2006 — 2010

Skills

• Business Analytics
• Statistical Modeling
• Microsoft Excel
• Machine Learning
• Market Research
• Management Consulting
• Artificial Intelligence
• Data Analysis
• Analytics
• Predictive Analytics
• Python
• R
• Secondary Research
• Business Analysis
• Vba
• Java
• Statistics