About Me

Computer Science Master’s student at Duke University focused on machine learning research in deep learning and efficient model design. Experienced in developing ML pipelines for autonomous driving, neuromorphic tracking and recognition, fMRI analysis, and model optimization, with demonstrated impact in both academic and industry settings.

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Publications

ViTFuser: Advancements in Global Context Understanding for Autonomous Vehicles
6th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND 2024)
Atanu Chatterjee, Ajay Vikram P, Aniketh Narayan Bellala, T Naga Tarun, Basavaraj Talawar, Vani M, and Jeny Rajan

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Experience

Graduate Research Assistant
Duke University, Durham, North Carolina
Advisor: Andrew Michael
2025.08 - Present

Machine Learning Research Intern
Indian Institute of Science, Bengaluru
Advisor: Chetan Singh Thakur
2024.05 - 2025.07

Machine Learning Intern
Lamarr, Remote
2024.03 - 2024.04

Software Intern
Qualcomm, Hyderabad
2023.05 - 2023.07

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Education

Duke University
Master of Science in Computer Science, (AI/ML track)
2025.08 - Present

National Institute of Technology Karnataka (NITK)
Bachelors of Technology in Computer Science and Engineering
2020.12 - 2024.04

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Projects

SkillBlenderLC: Self-Evolving Meta-Skill Learning for Humanoid Robots

ViTFuser: Advancements in Global Context Understanding for Autonomous Vehicles

Ternarizing CNNs for Human Activity Recognition

Decoding Hand Kinematics in Brain-Computer Interfaces with State-Space Models

Skills

Python C/C++ PyTorch TensorFlow Deep Learning CV NLP Neuromorphic Vision Quantization MLOps Docker Kubernetes Jenkins MLflow MySQL ROS2 HTML/CSS