Rohan Khanna is a Senior Software Engineer with 12 years of experience building large-scale, production ML and cloud systems, currently leading a 12-engineer team at Amazon AGI focused on text-to-image models. He designed and scaled Spark-on-EMR pipelines to filter and prepare petabytes of image and metadata for training, and extended those pipelines to run GPU-accelerated scoring and filtering for model fine-tuning and evaluation. Rohan blends distributed systems and ML engineering, having built a model checkpoint evaluator that fuses quantitative metrics with human feedback and experimenting with vector DBs for retrieval-augmented generation. Earlier work includes real-time media and secure service architectures for Alexa and Ring, WebRTC signaling at scale, and device authentication for hundreds of thousands of devices at Lab126. He holds an M.S. from Stanford and a B.S. from UIUC, and his background in mechatronics and haptics research gives him a rare cross-disciplinary edge in both hardware-aware algorithms and cloud-native ML infrastructure.
12 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.) Mechanical Engineering Computer Science, Bachelor of Science (B.S.) Mechanical Engineering Computer Science at University of Illinois Urbana-Champaign
Master of Science (M.S.) Mechanical Engineering, Master of Science (M.S.) Mechanical Engineering at Stanford University
Contributions:2 PRs, 11 pushes, 3 branches in 2 months
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Rohan Khanna - Senior Software Engineer at Amazon AGI