Amani Peddada
Staff Machine Learning Scientist - Autopilot at Tesla
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAmani Peddada is a Staff Machine Learning Scientist at Tesla leading Autopilot research and deployment with 11 years of experience applying computer vision and ML to real-world systems. Trained at Stanford with both BS and MS in Computer Science, Amani transitioned from academic research in NLP and vision labs to production-critical autonomy work beginning in 2018. At Tesla they bridge cutting-edge research and scalable engineering, focusing on reliability and safety in perception and decision pipelines. Colleagues know them for combining deep technical rigor with pragmatic system design to move models from prototype to road-ready software. Based in Palo Alto, they bring a research mindset to product timelines and an unusual comfort navigating both lab experimentation and large-scale vehicle fleets.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Stanford University
Github Skills (17)
python10
machine-learning10
deep-learning10
data-science9
tensorflow9
neural-network9
deep-neural-networks8
ml8
q-learning6
reinforcement-learning5
gymnasium5
translation4
nmt4
sequence-to-sequence3
machine-translation3
Programming languages (3)
Github contributions (5)
classicCoder16/CS224W_Project
Oct 2016 - Dec 2016
Contributions:35 commits, 28 pushes, 1 branch in 1 month
classicCoder16/CS224S_Project
May 2017 - Oct 2017
Contributions:91 pushes, 1 branch in 5 months
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