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Yash Jagdale

Yash Jagdale

Full Stack AI Engineer — Computer Vision and MLOps

yash-jagdale
Pune, India
Joined April 2026

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Summary

Full‑stack AI engineer focused on delivering production-ready AI systems: Yash's personal site and professional listings describe him as a Full Stack AI Engineer who builds end-to-end AI solutions — combining backend APIs (Python, FastAPI), cloud infrastructure (AWS), and MLOps practices to move models from research into production. vercel+1
Applied computer vision and model optimization experience: documented work includes training and benchmarking TensorFlow and SSD models and developing optimized OCR pipelines during a computer vision internship, indicating hands-on experience in model performance and inference-time reduction. theorg
Practical software engineering and DevOps orientation: maintains projects demonstrating configuration management, containerized CI/CD (Jenkins), and data-producer utilities; also publishes packages/artifacts (Maven Central, Docker Hub), showing emphasis on engineering best practices and tooling. github+3
Technical writing and academic contribution: authors Medium technical tutorials and is a listed contributor on a Taylor & Francis book chapter about ML for early autism detection, reflecting both practical technical communication and academic collaboration. medium+2

Work

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Hobbies

Open-source development and contributing to developer tools. github+1