Abhilash Balachandran
Deep Learning Architect at Amazon Web Services (AWS)
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolAbhilash Balachandran is a Deep Learning Architect with 10 years of experience building production-grade AI systems, currently helping AWS customers implement generative AI solutions from prototype to scale. Previously at Ridecell he led MLOps initiatives and built co-pilot agents, custom RAG pipelines, and PEFT fine-tuned LLMs to improve data augmentation and reduce hallucinations for automotive fleet analytics. His background in robotics (M.S. from Johns Hopkins) and hands-on work with sensors, motion planning, and large-scale model deployment gives him a rare blend of perception, control, and ML engineering expertise. Based in the San Francisco Bay Area, he excels at translating research-grade models into reliable, highly available services and has a track record of extracting actionable insights from thousands of hours of vehicle sensor data. Notably, he combined classical robotics skills with modern LLM tooling to create scalable AI products like nemosearch.ai.
10 years of coding experience
8 years of employment as a software developer
Johns Hopkins UniversityBachelor of Technology (BTech) Mechanical Engineering, Bachelor of Technology (BTech) Mechanical Engineering at National Institute of Technology, Tiruchirappalli
Github Skills (14)
bag10
yolov79
detectors9
yolov49
darknet9
apollo8
computer-vision8
pytorch8
ros8
messaging8
object-detection7
deep-learning6
lstm-model1
lstm1
Programming languages (1)
Github contributions (5)
Ridecell/yolov7
Oct 2023 - Oct 2023
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Contributions:6 reviews, 2 PRs, 18 pushes in 3 days
abhilashbalachandran/abhilashbalachandran.github.io
Sep 2015 - Sep 2015
Contributions:15 pushes, 1 branch in 1 day
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