I am a Master's student in Electrical and Computer Engineering at the University of Michigan, Ann Arbor, where I work as a Research Assistant with Prof. Jeong Joon Park. My research lies at the fascinating intersection of robotics, autonomous vehicles, and computer vision—areas that I believe will fundamentally reshape how machines perceive and interact with the world.
I'm driven by the challenge of enabling robots to truly understand their environments. From developing 4D perception systems to creating robust deepfake detection models, my work spans the spectrum of modern AI and robotics. I'm particularly passionate about leveraging foundational models, 3D/4D reconstruction, and sensor fusion to build autonomous systems that can navigate complex, dynamic environments safely and intelligently.
Before joining UMich, I completed my B.Tech in Electrical Engineering from IIT (ISM) Dhanbad, where I developed a strong foundation in machine learning and robotics. I've had the privilege of working with exceptional researchers at Carnegie Mellon University and the University of Central Florida, and contributed to real-world robotics solutions at Mowito.
Beyond research, I'm an avid reader who enjoys diving into fiction and contemplating big questions about technology's role in society. I'm always excited to discuss ideas, collaborate on challenging problems, or explore new research directions—feel free to reach out!
4D reconstruction, scene understanding, and developing perception systems that enable robots to make sense of complex environments
Motion planning, localization, SLAM, and sensor fusion for safe and efficient autonomous vehicle navigation
3D/4D reconstruction, multi-view geometry, and visual learning for robotic applications
Leveraging LLMs and VLMs for task planning, human-robot interaction, and multimodal understanding
Paper "Towards Content-Agnostic Deepfake Speech Detection with Multi-TTS" accepted to ICASSP 2025! 🎉
Started MS in ECE at University of Michigan with a perfect 4.0 GPA
Joined Carnegie Mellon University as a Research Intern working on deepfake audio detection
Started Robotics Software Internship at Mowito, working on vision solutions for warehouse robots
University of Michigan, Ann Arbor
Working with Prof. Jeong Joon Park on creating 4D datasets for robot perception and learning, designing data collection pipelines and evaluation protocols.
Carnegie Mellon University
Worked with Dr. Arun Balajee Vasudevan on content-agnostic deepfake speech detection. Developed benchmark datasets using multiple TTS models and trained audio-language detection models. Published paper to ICASSP 2025.
University of Central Florida - CRCV Lab
Worked with Prof. Yogesh Rawat on mitigating activity hallucinations in Video-LLMs. Created annotated datasets and fine-grained evaluation metrics for robust activity understanding.
Mowito
Implemented perceptual-hashing for dataset deduplication and built production-ready dataset classes. Developed order-completion time estimation and clustering algorithms for warehouse optimization.
Implemented and compared Kalman and Particle filters on PR2 robot under five different scenarios, studying their advantages and limitations
View on GitHub →Complete autonomous navigation system using ROS2 and Nav2 stack with real-time lidar-based obstacle detection and collision avoidance
View on GitHub →Analyzed failure cases of MASt3R for multi-view reconstruction under challenging conditions and documented limitations
Read Paper →