Manav Garg is a software developer and machine learning practitioner with 11 years of engineering experience, currently pursuing an MS in Computer Science at Arizona State University and based in Seattle. He blends hands-on ML research in computer vision—improving gun detection accuracy and adversarial robustness using explainable AI—with production-focused MLOps and API-driven deployment experience. His internships and roles span end-to-end model development, CI/CD on GCP, and building inference pipelines and APIs, culminating in a Software Developer role at Amazon. Manav has led small teams to deliver standardized data pipelines and cut deployment time by half, and has practical experience fine-tuning transformer-based vision-language models like LayoutLM for document understanding. He combines research rigor with pragmatic engineering, making him adept at moving models from prototype to reliable production systems.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Arizona State University
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Nirma University, Ahmedabad, Gujarat, India
Contributions:102 pushes, 1 branch in 3 years 2 months
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