Aditya Todi is a Co-Founder and machine learning engineer with 6+ years of hands-on experience applying generative diffusion models, agentic AI systems, and MLOps to production-grade products. Trained at IIIT Hyderabad after securing IIT-JEE AIR 1010, he blends deep research familiarity (Flow Matching, Diffusion Transformers, Stable Diffusion families) with practical engineering—multi-GPU training, inference optimization, and sub-second model serving on A100/H200 infrastructure. He’s led engineering teams and built real-time data pipelines and backend systems across startups, and now drives an AI-powered virtual try-on product that translates SOTA vision models into customer-facing conversion lift. Comfortable across Python, Java, FastAPI, LangChain/LangGraph orchestration, and vector DBs, he focuses on turning complex architectures into scalable, observable systems. An under-the-radar strength is his steady movement from backend and data engineering roles into cutting-edge generative AI productization, giving him rare end-to-end delivery fluency.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at IIIT Hyderabad
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