Work Experience

Software Engineer Intern @ Stealth AI Startup

Developed a full-stack web application using React, Tailwind CSS, Node.js, Next.js, and Redux, enabling user content retrieval and requests across multiple services
Integrated essential features such as authentication, user privilege management, error handling, data transfer, i18n, open search, and user-specific settings
Collaborated closely with cross-functional teams to maintain near 100% layout fidelity. Participated in daily stand-ups aligned with Agile principles, ensuring efficient communication and rapid feedback.

Built five front-end web pages using the Vue framework for a payroll application, meeting tight deadlines.
Constructed a fault-tolerant distributed queue inspired by Kafka’s architecture for payroll processing, including leader election, replication, and partitioned topics for high availability and horizontal scalability.
Developed a Python-based web crawler to assist the Legal team in finding relevant information, boosting search efficiency by 30%.

Led lab sessions for 45+ students each quarter, providing hands-on instruction in C/C++ with a focus on clean code, abstraction, and encapsulation.

Researched Transformer-based image enhancement techniques such as super-resolution, denoising, etc. and explored different Transformer structures. Learned to resolve hypotheses by continuously raising questions
Designed a Transformer-based deep learning model in Python featuring a three-stage pipeline: image pre-processing with SVD, resolution enhancement via SwinIR modules, and image fusion—achieving a 0.02 PSNR improvement over leading models.

Research applicational imaging with neural networks, object detection, and stage detectors. Present work to the professor biweekly.