Education

• B.Tech in Computer Science and Technology, Indian Institute of Engineering Science and Technology (IIEST) Shibpur, 2021–2025
  • CGPA: 9.5

Work experience

• January 2025–present: Pre-doctoral Research Fellow, Team DiskANN
  • Microsoft Research India
  • Working on making retrieval better and evaluating Deep Research systems
• May 2024–July 2024: Software Development Engineer Intern
  • Amazon
  • Implemented domain-driven design principles to optimize the notification triggering process

Participations

• February 2026–present: SPAR Fellow (Mentee)
  • Cornell University
  • Working on AI Safety and Eigenbench with Prof. Lionel Levine

Skills

• Machine Learning
  • Supervised learning, metric learning, feature selection
  • Retrieval evaluation and benchmarking
• Algorithms & Systems
  • Approximate nearest neighbor search
  • Vector search for filtered datasets
  • Data structures, algorithm design
• Programming
  • C, C++, Python, Kotlin, Rust, JavaScript
• Tools & Frameworks
  • PyTorch, TensorFlow, scikit-learn, AWS, SQL, Git

Publications

Learning Filter-Aware Distance Metrics for Nearest Neighbor Search with Multiple Filters

Sutradhar, A., Gupta, S., Krishnaswamy, R., Xu, H., Rastogi, A., & Srinivasa, G. (2025). "Learning Filter-Aware Distance Metrics for Nearest Neighbor Search with Multiple Filters." arXiv preprint arXiv:2511.04073.

Systematic Biomarker Discovery for Glioblastoma Subtyping Using Machine Learning

Sutradhar, A., Banerjee, A., Samanta, A., Hossain, S. F., Dey, A., & Biswas, S. (2025). "Systematic Biomarker Discovery for Glioblastoma Subtyping Using Machine Learning." IEEE INDISCON 2025. pp. 1–6.