Summary
Sandeep Kushwaha is a researcher and AI engineer with nine years of experience at the intersection of LLMs, multimodal deep learning, and production-scale ML systems. Currently at Fondazione Bruno Kessler, he focuses on applying LLMs to time-series and multimodal data, with strong hands-on expertise in RAG, PEFT/LoRA fine-tuning, and PyTorch model development. His background spans privacy-sensitive healthcare projects (federated learning and local RAG deployments) to commercial AI agent swarms for restaurants, showing a rare blend of research rigor and product-focused engineering. He has driven measurable impact—reducing manual labor via LLM automation, boosting financial forecasting, and shipping scalable Kubernetes-based inference pipelines. A creative polymath outside work, he draws inspiration from photography and travel across India, Taiwan, Spain, and Italy, which informs his user-centered approach to AI. Fluent in turning research into deployed systems, he contributes to open-source ML tooling and emphasizes privacy-preserving, practical solutions.
8 years of coding experience
6 years of employment as a software developer
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at Alma Mater Studiorum – Università di Bologna
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Chitkara University