Portfolio

Research, robots, and intelligent systems — shown in motion.

Selected work · 2020—2026

I build systems that perceive, reason, and act.

My work moves between embodied AI, computer vision, robotics, and the software that makes research usable. Start with the demos; follow the links when you want the implementation details.

ECCV ’26 publication GSoC ’25 · OpenCV 8+ deployed systems

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Where the work happened

Experience & leadership

  1. Nov. 2025 — Present

    ETH Robotics Club · Team MONKEE

    Bimanual Climbing Robot

    Leading a 10+ person software team building sensing, simulation, teleoperation, and climbing control for a bimanual robot.

  2. Jul. 2025 — Feb. 2026

    ETH Zürich · University of Zürich · ECCV 2026

    LangLoc: Tell Me What You See

    Fine-grained indoor localization from language alone: retrieve a 3D scene, infer position and heading, then resolve ambiguity through a Bayesian dialog.

  3. May — Sept. 2025

    Google Summer of Code · OpenCV

    Visual SLAM from Scratch

    An educational monocular SLAM framework with learned ALIKED + LightGlue features, map tracking, bundle adjustment, loop closure, and live 3D visualization.

  4. Jan. 2022 — Aug. 2024

    Machine Learning Research Lab · DTU

    Vision-Language Navigation Research

    Research at the intersection of computer vision, deep reinforcement learning, and language, culminating in a top-five global VLN leaderboard result.

  5. Nov. 2020 — Jul. 2024

    Delhi Technological University · Formula Student

    Team Defianz Driverless Racing

    Three years building and leading autonomous systems for an open-wheel race car: perception, LiDAR detection, planning, testing, safety, sponsorship, and a 40+ member team.

  6. Jun. — Aug. 2023

    ThinkSwiss · Bern University of Applied Sciences

    No-GPS Drone Navigation

    Vision-based drone navigation for GPS-denied environments, including a redesigned segmentation network and a synchronized onboard sensor pipeline.

  7. Jul. — Aug. 2022

    Euler Motors · Autonomous Systems Intern

    Autonomous Delivery Vehicles

    Extended an Autoware-based stack for Level 3 autonomous delivery vehicles operating in large factory environments.

  8. Jan. — Jun. 2022

    Government of NCT Delhi

    Desh Ke Mentor

    Mentored four high-school students through career exploration and concrete six-month action plans.

More experiments & publications

Supporting work

2024

Bachelor’s thesis · Delhi Technological University

Elevating Semantics

Fine-grained semantic grounding for aerial vision-and-language navigation, connecting visual-language pre-training with embodied navigation.

Vision-and-Language Navigation leaderboard showing the DTU team result
Jan. 2022 — Aug. 2024

Machine Learning Research Lab · DTU

Vision-Language Navigation Research

Research at the intersection of computer vision, deep reinforcement learning, and language, culminating in a top-five global VLN leaderboard result.

2024

Research manuscript

Decoding Percepts in Vision-Language Navigation

An investigation into whether VLN gains come from stronger visual features or simply more training data.

2024

Research manuscript

NAVIGUE

Vision-language navigational generalization using pretrained vision-language models.

2023

Research manuscript

Leveraging Visual-Language Pre-training for VLN

Early research on transferring pretrained multimodal representations into embodied navigation.

Jul. — Aug. 2022

Euler Motors · Autonomous Systems Intern

Autonomous Delivery Vehicles

Extended an Autoware-based stack for Level 3 autonomous delivery vehicles operating in large factory environments.

Sept. 2022

Deep learning project

Age-Invariant Face Recognition

A unified GAN-based architecture for cross-age face synthesis and recognition, trained on CACD without requiring paired examples.

Aug. 2021

NXP AIM India · 3rd nationally · Best Car Model

NXP Self-Driving Car

An imitation-learning navigation stack with ROS2, a compact CNN, and YOLOv4-Tiny trained from a small custom-augmented dataset.

Nov. 2025 — Present

ETH Robotics Club · Team MONKEE

Bimanual Climbing Robot

Leading a 10+ person software team building sensing, simulation, teleoperation, and climbing control for a bimanual robot.

Jan. — Jun. 2022

Government of NCT Delhi

Desh Ke Mentor

Mentored four high-school students through career exploration and concrete six-month action plans.

Recognition

Milestones along the way