Tarang Khanna is a Machine Learning Engineer based in California with 12 years of software experience and 7+ years building end-to-end ML systems and infrastructure. He has shipped scalable training and inference platforms at Apple and Uber, and built isolation and synthetic-data generation systems in Rust and Python for Meta’s Reality Labs. His background spans deep learning optimizations (including real-time C++/CUDA work at NVIDIA), backend services for autonomous mobility, and production ML orchestration. Comfortable across low-level performance engineering and large distributed systems, he designs solutions that bridge research models to reliable, high-throughput production deployments. Notably, he combines hands-on coding in performance-sensitive languages with platform-level thinking that improves developer velocity and operational scalability.
12 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Purdue University
International Bacculerate Diploma, International Bacculerate Diploma at Yew Chung International School
chatbot for stock predictions utilizing machine learning
Contributions:158 commits, 156 pushes, 1 branch in 10 months
chatbotstockmachine-learningpredictions
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Tarang Khanna - Machine Learning Engineer at Apple