Sanket Kulkarni is an AI engineer and researcher with over a decade of software development experience and 5+ years deploying deep learning and LLM systems in production. He blends an e-commerce engineering background (extensive Magento and performance optimization work) with advanced AI skills in RAG, multi-agent frameworks, and LLM orchestration using LangChain, Hugging Face, and OpenAI. Sanket has built scalable, high-availability AI backends on Azure and AWS with FastAPI, Docker, and Kubernetes, shipping solutions like document intelligence platforms, LLM-powered HR assistants, and multimodal image reconstruction tied to fMRI research. He’s delivered measurable business impact—reducing cart abandonment, boosting AOV and margins with recommender and forecasting models, and improving marketing ROI through ML-driven insights—while also leading teams and introducing MLOps practices. Based in London, he enjoys translating research into production-ready systems, from prompt engineering and fine-tuning to end-to-end deployment and CI/CD.
10 years of coding experience
11 years of employment as a software developer
Diploma of Education Computer Science, Diploma of Education Computer Science at Technical Examination Board
Bachelor of Engineering (BE) Computer Engineering, Bachelor of Engineering (BE) Computer Engineering at Gujarat Technological University (GTU), Ahmedabad
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Contributions:14 PRs, 12 pushes, 6 comments in 8 months
Contributions:9 commits, 7 pushes, 1 branch in 2 months
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