Selected Projects
KYC Document Intelligence Pipeline
2025 · SGLang + Fireworks AI Platform
Built a schema-first, auditable KYC document understanding pipeline powered by SGLang inference server in 3 days. SGLang's high-performance runtime enabled low-latency structured JSON outputs from Llama 3.2 11B Vision, processing passport and driver's license images with production-ready throughput. The system implements deterministic rules for risk assessment, confidence-based routing, and comprehensive corner case handling (blur, glare, rotation, low resolution). Designed with extensibility, privacy compliance, and trade-off analysis for real-world FSI deployment, with scaling paths (serverless/on-demand/batch) and human-review gating for low-quality inputs.
Autonomous Coin-Picking & Trace Robot
2021 · Cornell University
Developed a mobile robot integrating obstacle avoidance and vision-based path tracking. It autonomously navigates environments, detects coins using onboard sensors and collects them through precise motor control and imaging feedback.
Metatarsal Loading and Calcium Imaging in Mice
Sep 2020 – May 2022 · Cornell University
Established a protocol using a three-point bending device to apply mechanical load to metatarsal bones in live mice while simultaneously monitoring intracellular Ca2+ dynamics in osteocytes using a genetically encoded fluorescent calcium indicator. Multiphoton fluorescence microscopy was used for real-time cellular imaging.
Wireless Signal Receiver & GNU Radio Analysis
2020 · University of Kentucky
Built a real-time signal acquisition and demodulation device to intercept airborne EM signals. The system was coupled with GNU Radio and MATLAB for signal classification and analysis under Linux environment.
Auto-Targeting Ping Pong Shooter
2019 · University of Kentucky
Designed an AI-powered robotic system that identifies and locks onto moving targets, then launches ping pong balls via dynamic motor calibration and prediction-based aiming algorithms.
Voice-Driven Motor via Neural Network
2019 · University of Kentucky
Created a system that activates motors via spoken commands. Integrated LabVIEW and MATLAB with a neural network classifier to process voice features and convert them into real-time control signals.