• Architected real-time NLP inference systems combining traditional NLP tools (SpaCy, NLTK) with LLMs (GPT-4, Llama) on AWS Lambda to analyze rhetoric, argument structure, and behavioral signals in human dialogue, powering Pulp’s conversation intelligence platform.

• Created a dynamic onboarding and internal tooling platform using React, Next.js, AWS, and Neo4j that centralized company tools, documentation, and workflows into a single interface, streamlining new-hire procedures and boosting team productivity.

• Developed a full-stack administrative system for resume parsing and student-job matching, building automated candidate analysis pipelines and scalable APIs that enhanced placement accuracy and supported hundreds of weekly users.

• Improved backend reliability by enhancing a Go-based microservice to enforce provider availability from the internal scheduling system, preventing off-hour bookings and reducing operational overhead across enterprise care services.

• Optimized enterprise web booking experience by implementing backend-driven conditional rendering, streamlining care request flows, and refactoring front-end React components to provide a more seamless user experience, reducing drop-offs and increasing conversions.

• Delivered enterprise customizations through PostgreSQL migrations and configuration updates that enabled tailored benefits and web displays for Fortune 500 clients, while instrumenting Amplitude events to measure engagement and guide UX improvements.

• Helped introductory computer science students formulate problem-solving strategies, debug and optimize code, and instill good coding practices during open lab hours.

• Worked through and helped debug, calibrate, and test weekly lab assignments that focus on important concepts such as recursion/iteration, graph search algorithms, and functional programming.

• Conducted checkoffs to assess students' understanding of the material and their ability to make well-informed choices for data structures, helper functions, and code readability/complexity.

• Developed and integrated high-performance front-end components for the rebranded Visitor Home Page (VHP) using React, Next.js, and MUI, as part of an agile team focused on improving user acquisition, registration, and onboarding processes for new product users.

• Achieved a 1.3% increase in visitor-to-premium conversion rates by enhancing the UI/UX of the VHP and Enrollment interfaces, streamlining the navigation experience, and addressing pain points identified through data-driven user testing.

• Implemented redesigned UI/UX from user research insights to improve content visibility and navigation, leading to higher engagement (more visitors scrolling through the page) and measurable gains in visitor-to-basic conversions and satisfaction.

• Performed data cleaning and statistical analysis on large healthcare datasets using NumPy, Pandas, Chi-Squared tests, and Logistic Regression to study the effects of economic recessions on treatment retention for patients with opioid use disorders (OUDs).

• Leveraged ML libraries like XGBoost to train predictive models on the dataset, yielding robust insights into the correlation between economic recessions and treatment retention rates among patients with OUDs.