I am a graduate researcher at the Robotics Research Centre (RRC), IIIT Hyderabad, working at the intersection of mobile robotics, computer vision, and machine learning. My research focuses on visually grounded navigation, topological mapping, embodied AI, and relative 3D representations that enable robots to operate robustly in large-scale real-world environments.

I am pursuing a B.Tech + M.S. by Research in Computer Science and Engineering at the International Institute of Information Technology, Hyderabad, under the supervision of Prof. K. Madhava Krishna. My recent work includes MASt3R-guided topological navigation, pixel-level loop closures for shortcut navigation, and object-centric visual localization.

Starting Fall 2026, I will be joining IBM Research as a Research Engineer, where I look forward to working on cutting-edge problems in AI, machine learning, and intelligent systems.

Research Interests

• Mobile robotics and visual navigation
• Computer vision for spatial understanding
• Topological maps and relative 3D representations
• Multimodal learning, NLP, and foundation models

Recent Work

• Published work on MASt3R-guided WayPixel navigation at IEEE ICRA 2026.
• Published work on PixelLoop, a shortcut topological navigation method using pixel-level loops, at IEEE/RSJ IROS 2026.
• Worked on multimodal object-instance re-identification for global localization, presented at Advances in Robotics 2025.
• Built machine learning systems for PDF table extraction, SQL-backed question answering, summarization, satellite methane prediction, and power-line defect detection.

Experience Snapshot

• AI Research Intern at IBM Research, working across NLP, computer vision, document intelligence, and hyperspectral satellite modeling.
• Graduate Researcher at Robotics Research Centre, IIIT Hyderabad.
• Machine Learning Intern at a stealth startup, building a YOLO-based electric power-line defect detection system.

For more detail, see my publications and CV.