Summary
Vibudh Agrawal is a Senior Machine Learning Engineer with 8 years of experience building and deploying production-grade ML, computer vision, and LLM systems across startups and industry, currently at Samsara. He combines deep hands-on expertise in Python, TensorFlow, and PyTorch with cloud-native orchestration of data and model pipelines, and a track record of shipping real-time and embedded solutions for perception and document understanding. At BenchSci he scaled document pipelines using synthetic data and LLM distillation to markedly improve rare-class detection, and earlier work at Motion Metrics delivered optimized depth, segmentation, and keypoint models for constrained devices. His background in bioinformatics research produced two publications and patents, including a 75x-accelerated CADD pipeline used across labs to surface drug candidates, bridging academic research and product impact. Known for pragmatic innovation, he often combines synthetic data, model fine-tuning, and evaluation frameworks to turn complex research ideas into reliable, high-throughput systems.
8 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology Bombay
Master of Science - MS Bioinformatics, Master of Science - MS Bioinformatics at The University of British Columbia