CV
Education
- B.Tech. (Honours) in Computer Science and Engineering
- IIIT Hyderabad
- Graduated: May 2025
- GPA: 9.80/10.0 (Institute Gold Medalist)
- Relevant Courses: Mobile Robotics, Safe AI, Computer Vision, Statistical Methods in AI, Distributed Systems
Work Experience
- June 2025 - Present: Software Engineer
- Stripe (Commerce Systems)
- Duties included: Engineering record completeness guarantees for a fee reporting system processing over 400 billion records daily; Rolled out a unified Cost Management page, migrating multiple legacy product surfaces.
- May 2024 - June 2024: Summer Intern
- D.E. Shaw and Co. (Front Office R&D Tech)
- Duties included: Engineered one-step deployment modules for local clones of remote data-processing nodes; Reduced developer debugging time by 50% by eliminating multi-hour remote debugging.
- Aug 2023 - May 2025: Undergraduate Researcher
- Robotics Research Center, IIIT Hyderabad
- Duties included: Focused on bridging foundation models with classical robotics pipelines for localization and navigation; Led contributions to IROS 2025 paper, designing core global localization logic; Contributed to CoRL 2025 paper by integrating a topometric map with a learned controller; Mentored three undergraduate students in robotics and ROS.
- Supervisors: K Madhava Krishna, Sourav Garg
- Aug 2024 - Dec 2024: Supervised Program for Alignment Research Mentee
- Duties included: Contributed to an ICLR 2025 AI safety paper on verifying LLM forecaster consistency; Engineered the benchmark dataset pipeline, building an asynchronous multi-stage LLM system to process and generate forecasting questions.
- Supervisor: Daniel Paleka
Skills
- Robotics & AI: Mobile Robotics, AI Safety, Computer Vision
- Software & Systems: Distributed Systems, Software Architecture, Compilers
Publications
- P. Paul*, V. Bhat*, T. Salian, M. Omama, K. M. Jatavallabhula, N. Arulselvan, and K. M. Krishna, “Sparseloc: Sparse open-set landmark-based global localization for autonomous navigation,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oral Presentation, 2025.
- S. Garg*, D. Craggs*, V. Bhat, L. Mares, S. Podgorski, M. Krishna, F. Dayoub, and I. Reid, “Objectreact: Learning object-relative control for visual navigation,” in Conference on Robot Learning (CoRL), 2025.
- D. Paleka*, A. P. Sudhir*, A. Alvarez, V. Bhat, A. Shen, E. Wang, and F. Tramèr, “Consistency checks for language model forecasters,” in International Conference on Learning Representations (ICLR), Oral Presentation, 2025.
- A. Chavan, V. Agrawal, V. Bhat, S. Chittawar, S. Srivastava, C. Arora, and K. M. Krishna, “Towards Global Localization using Multi-Modal Object-Instance Re-Identification,” in *Advances in Robotics (AIR), Oral Presentation, 2025.
Teaching
- Teaching Assistant, Software Engineering (Jan 2025 - May 2025)
- IIIT Hyderabad
- Designed and graded assignments on software architecture patterns.
- Led tutorial sessions for 120+ students on Object-Oriented Programming and software design patterns.
- Teaching Assistant, Operating Systems & Networks (Aug 2023 - Dec 2023)
- IIIT Hyderabad
- Spearheaded the design of the final course project: implementing a Network File System from scratch.
- Contributed to the design of a C-shell project, mentoring students on low-level systems programming.
Service and Leadership
- Technical Head, E-Cell (2024)
- Led problem statement scoping for Megathon (one of Hyderabad’s largest hackathons) with stakeholders including the Government of Telangana and Qualcomm.
- Editor, Ping! (Campus Magazine) (2023)
- Authored articles highlighting campus-alumni operational disconnects; edited and managed content authored by other writers.
Achievements
- Awarded the IIITH Gold Medal by IIIT Hyderabad for graduating with the highest GPA in my batch (2025).
- Admitted into Institute Research List by IIIT Hyderabad for making contributions to robotics research (2025).
- Ranked 610th in JEE Main and 877th in JEE Advanced among 939,000 candidates (2021).