Work Experience

SWE @ Visa, Data Research @ Duke, R&D DS @ Interos, Attendee @ Point72 Academy, SDE @ AYR.ai, Research @ NJIT

Dev @ Tech@NYU, Competitor @ Stern BAC, Member @ WinC, Member @ NYU BUGS, Scholar @ DTech

Tech@NYU Dev Team

Developer • Sept 2025 - Present

Next.js, TypeScript, Cloudfare Workers, Convex API, SQLite, Bun

Building an all-in-one app for NYU students to find courses, compare professors, and organize schedules.
Developing a faster, more optimized alternative to Albert with clean UI and responsive calendar features.
Working on a fast-paced team targeting deployment before Spring 2026 course registration.

Software Engineer Intern • May 2025 - Aug 2025

Python, MCP, Langchain, Langgraph, JIRA, Kafka, Agile/Scrum, CI/CD

Built AI incident analysis system reducing MTTR by 75% for 1.5k monthly incidents with 91.4% root cause accuracy
Increased LangChain agent capacity by 36% via async streaming, connection pooling, and intelligent codebase context retrieval (MCP)
Engineered parallel search pipeline processing 2.5k+ JIRA tickets per incident via Python asyncio with batched API calls, connection pooling, and streaming results
Wrote onboarding documentation and streamlined adoption in global SRE teams
Worked in Agile/Scrum sprint system with daily code reviews

DTech Scholar • Jan 2024 - Present

Contributed to community of women in computer science; attended networking events, resume reviews, and workshops.
Attended Scholar Events in San Francisco, including a fireside chat with Deb Liu, founder of Ancestry
Volunteered at FEMMES+Hacks 2024, a one-day hackathon for high school students in RDU area

Data Science, Research & Development Intern • Jun 2024 - Jul 2024

Python, PyPDF, Selenium, OCR, SQL, LLM

Built OCR pipeline (Tesseract, Azure AI) processing 10k+ supply chain PDFs with 94% text extraction accuracy
Implemented MongoDB caching layer with TTL indexes and query optimization, reducing preprocessing time by 32%
Wrote automated testing suite and monitoring dashboards ensuring data pipeline reliability

Investment Analysis Training Program • April 2024

Finance, Research, Market Analysis, Equity Valuation

Selected for Point72 Academy's investment analyst training program through achievement recognition at Cubist Hackathon.
Completed intensive program covering fundamentals of finance, research methodology, and market behavior.
Trained in idea generation, pitching, data analysis, accounting and modeling, and regulatory compliance.
Gained hands-on experience building research processes and developing equity pitches presented to investment professionals.

Competitor • Sept 2023 - May 2025

Python, Finance, Algorithms

Studied options trading, valuation, market making, systemic equities in Point72 Investment Analysis Academy
Developed Python trading algorithm bot to calculate positive EV strategies in market scenarios
Traded $1M simulated equities, derivatives, and ETFs during Duke FINTECH Spring Trading Competition

Committee Member • Jan 2024 - May 2025

Planned logistics for local artists to showcase works at Duke Brown Gallery for monthly installation series.
Coordinated arts programming including collaborations with Duke Votes, Asian Students Association, and other campus organizations.

Software Development Intern • Sep 2021 - Aug 2023

Python, Selenium, scrapy, PostgreSQL, React.js, TypeScript, Docker

Improved handwriting classification by 28% with Transformer-based OCR model
Reduced data retrieval time by 64% by developing automated web scraper in Python with Selenium
Developed responsive product features in React (real-time dashboards, alert system, data visualization) with MVC architecture patterns for A/B testing

Algorithmic Research Intern • Jul 2021 - Sep 2021

C++, Algorithms

Designed parallel-capable C++ algorithm for graph processing that iteratively connected components.
Optimized algorithm by reducing computational complexity through innovative data structures.