Applied AI and computer vision engineer driven to create meaningful change through intelligent products
About
I'm a Computer Science graduate from the University of Illinois at Urbana-Champaign with a Master's degree, specializing in Applied AI and Computer Vision. My passion lies in using cutting-edge technology to solve real-world problems and create meaningful impact.
I enjoy building scalable systems and exploring the intersection of AI research and practical applications. Whether it's developing robust backend architectures or implementing novel computer vision algorithms, I'm driven by the potential to make technology more accessible and impactful.
Featured Work
CoALM: Conversational Agentic Language Model
Research on unified language models for multi-turn conversations and tool use. Accepted to ACL 2025, exploring advanced conversational AI capabilities.
RWKV Architecture Evolution
Comprehensive review of Receptance Weighted Key Value (RWKV) architecture advancements in efficient language modeling.
Co-Design of Communication and Machine Inference
Cloud robotics research on optimizing communication and inference for networked robotic perception. Published in Robotics: Science and Systems 2021 and Autonomous Robots 2023.
From Turns to Dialogues: Rethinking Task-Oriented Dialogue Evaluation
Novel evaluation framework for task-oriented dialogue systems combining turn-level precision with dialogue-level comparisons.
Occlusion-Aware Tracking for Drones Using Neural Methods
Master's thesis addressing gate tracking under occlusion conditions using synthetic data generation and specialized neural architectures. ViT implementation achieved 99% success rate on occluded points with 82% lower error metrics compared to baselines.
