Sandipto Roy

Summer Analyst @ Goldman Sachs | B.Tech CSE NIT Durgapur ’27 | Amazon ML School 2025 | Flipkart GRiD 7.0 Semifinalist | Codeforces Specialist | 4⭐ CodeChef | LeetCode Knight | AtCoder Green

Durgapur, West Bengal, India

About

🚀 Driven by a deep passion for technology, I’m constantly exploring new horizons and challenging myself in problem-solving environments. My curiosity fuels my journey through the ever-evolving world of computer science. 🧠 I’m particularly interested in Artificial Intelligence, Machine Learning, and Blockchain—technologies that are reshaping industries and redefining what’s possible. I'm excited to contribute to innovative solutions that harness the power of intelligent systems and decentralized platforms. 💹 Alongside tech, I’m also intrigued by the finance sector—especially how emerging technologies are transforming financial systems, markets, and decision-making processes. 🌍 I believe in continuous learning and meaningful collaboration. Let’s connect and grow together in this dynamic world of innovation!

Experience

  • Website Coordinator at Institute Innovation and Incubation Council, NIT Durgapur
    Jan 2025 - Present · 1 yr 6 mos

  • GenAI Intern at Talent Hub For You
    Jun 2025 - Jul 2025 · 2 mos

    1. Engineered cutting-edge web solutions powered by generative AI, boosting interactivity and overall user experience. 2. Participated in collaborative ideation sessions to identify creative uses of large language models (LLMs). 3. Explored emerging trends in generative AI through research, supporting strategic planning and concept development.

  • IASc-INSA-NASI Summer Research Fellow at Indian Institute of Technology, Bombay
    May 2025 - Jul 2025 · 3 mos

    Focused on building privacy-preserving Retrieval-Augmented Generation (RAG) systems by combining federated learning with differential privacy. Designed experiments to evaluate the trade-offs between utility and privacy, implemented decentralized training pipelines, and contributed to optimizing retrieval and generation modules under privacy constraints. Gained hands-on experience in advanced NLP techniques, privacy-preserving machine learning, and large-scale model evaluation.