Sri Budaraju is a software engineer and ML practitioner with a decade of hands-on experience building perception and ML systems, currently at Google after impactful roles at Smart Eye, Volvo Cars, and Mercedes‑Benz research. He holds a Master’s in Computer Science from KTH with a focus on deep learning for vision, speech, and robotics, and authored a thesis introducing a VAE‑GAN hybrid for unsupervised 3D human pose estimation that outperformed prior state-of-the-art in real-world settings. At Smart Eye he integrated LLMs into driver monitoring, slashed cloud costs and engineering time via MLOps automation, and delivered production-grade models and KPI tooling showcased at CES. His background blends research and productization—from deploying observability stacks and Ansible automation for self‑driving test rigs to optimizing YOLO inference on embedded hardware for Formula Student. He actively experiments with novel ideas (code and projects available on his GitHub and personal site) and seeks full-time roles in deep learning, ML engineering, or data science. An uncommon strength is his track record of taking blue‑sky research into robust, cost‑efficient production systems.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Technology Computer Science, Bachelor of Technology Computer Science at Amrita Vishwa Vidyapeetham
Master's degree Computer Science, Master's degree Computer Science at KTH Royal Institute of Technology
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