Hi! I'm a software engineer passionate about leveraging technology to create impactful, accessible, and thought-provoking experiences that foster connection and empower communities.
Currently working as a software engineer at JPMorgan Chase & Co.
EXPERIENCE
JPMorgan Chase & Co.
07.2025 - PresentSoftware Engineer
Working on the AI Technology Team
Bina Lab
02.2021 - 06.2025Research Lead
Developed the HurricaneVidNet dataset for disaster damage assessment using UAV-based video data. Modify and test video semantic segmentation models while overseeing a team of 12 researchers.
JPMorgan Chase & Co.
06.2024 - 08.2024Software Engineering Intern
Developed a metric tracking library for microservices and integrated it with AWS CloudWatch. Built a CloudWatch dashboard to enhance observability and led a global hackathon team, securing 3rd place out of 70+ teams.
JPMorgan Chase & Co.
06.2023 - 08.2023Software Engineering Fellow
Built a full-stack application using Spring Boot and React. Led a business expansion project for Citizens Trust Bank, delivering a strategic growth plan for Houston.
Ernst & Young
02.2023 - 06.2023Expedition EY Fellow
Chosen as one of 400 high-performing students worldwide for a program focused on technology, consulting, and cybersecurity advisory. Engaged in targeted workshops and networking with EY professionals to gain insights into analytics, consulting, and financial services.
Juni Learning
12.2022 - 06.2023Computer Science Instructor
Taught Java, Python, and JavaScript to K-12 students. Created personalized learning plans and maintained regular progress updates for students and parents.
SELECTED WORK
Nota
Nota is a launch-planning meeting copilot we built to turn live conversations into something a team can actually use. Instead of leaving a meeting with scattered notes and fuzzy ownership, Nota maps the people, systems, milestones, and blockers that matter while the discussion is still happening.
The product supports both live and replayed transcript ingestion. As the conversation unfolds, it builds a shared graph in real time and keeps an operator brief of decisions, action items, and issues, so the meeting becomes structured knowledge instead of a recap someone has to write later.
The frontend is built with Next.js, React 19, Tailwind, and React Flow, while the agent runs on Hono/Node with Firestore for session state and ordered event replay. We used Deepgram for speaker-aware transcription and Gemini for structured extraction, graph updates, and Cricket, the voice assistant inside the product.
I handled the most technical parts of the build: shaping the real-time product flow, getting the deployment stack working cleanly, and making sure the transcript, graph, and assistant pipeline held up reliably in the live demo. The project placed 2nd at the NYC Build With AI Hackathon hosted by Google Developer Groups NYC, Google Cloud Labs, and Columbia Business School, in a field of 300+ participants, and it is one of my favorite projects because it pushed product thinking, systems design, and AI interaction design all at once.