Param Popat
Senior Machine Learning Engineer & Tech Lead AI Agents at Apple
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolParam Popat is a Senior Machine Learning Engineer and Tech Lead at Apple with 8 years of experience building production ML systems that blend large language models, on-device optimization, and embodied agents. He leads development of personalized, persistent LLM agents that use memory, tool-use, and real-time screen and cross-device context to automate multi-turn workflows with measurable gains in engagement and task success. His background includes scaling photorealistic 3D simulators with Gaussian Splatting for embodied training, adversarial RL for long-tail behaviors, and model optimizations tailored to Apple Silicon. Equally comfortable in research and systems engineering, he has shipped LoRA-adapted agent models, NeRF-based environments across 1,000+ scenes, and synthetic data pipelines that stress-test LLM generalization. Outside of Apple, he founded a photography-tech startup that applied ML to real-world workflows, reflecting a practical focus on usable automation and product impact.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech Computer Engineering, Bachelor of Technology - BTech Computer Engineering at Nirma UniversityMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Columbia University
Gujarati, Hindi, English, French
Stackoverflow
1reputation
0reached
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Github Skills (24)
amazon5
stream5
python5
connected5
amazon-kinesis5
camera4
machine-learning4
audiounit4
deep-learning4
audio4
producer4
sdk4
sklearn3
hyper3
kinesis-video-streams3
Programming languages (4)
Github contributions (5)
parampopat/Wiki-Movies
May 2019 - Feb 2020
Contributions:10 commits, 2 PRs, 9 pushes in 9 months
parampopat/machinelearning_lecture
Aug 2018 - Oct 2018
The scripts taught by me as a part of Machine and Deep Learning lecture series at Nirma
Contributions:18 commits, 3 PRs, 13 pushes in 1 month
deep-learningpythonmachine-learning
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