Monitor and guide students who are learning python

Hold regular office hours to mentor students, teach them programming concepts, help them prepare for assignments and exams.

Grade student assignments, worksheets, provide feedback on their code quality.

• Built and shipped component-based UI for insurance dashboards processing thousands of data points per session for clients including Farmer's Insurance, reducing load latency by ~20% through optimized state management and API handling.

• Integrated generative AI (GPT-4) into a production platform, including automated unit and integration tests to prevent regressions, summarizing tabular data and enhancing user experience.

• Collaborated with 5+ cross-functional stakeholders (product, design, backend engineering) using Figma to influence UX direction and participated in weekly code reviews and estimating tickets.

• Led a team of 4 interns as Scrum Master, tracking project progress in Jira to facilitate roadmap discussions, breaking down 20+ requirements and ensuring 100% sprint completion across 3 Agile iterations.

Technologies : ReactJS, NextJS, Typescript, Tanstack, High Charts, JSON, Accessibility, Jira API, Figma, Postman.

• Owned end-to-end development of a React Native nutrition app, integrating AI-driven personalization and social media audio extraction using yt_dlp, processing 100+ audio clips into structured recipe entries for beta testing.

• Built and optimized 6+ backend APIs using FastAPI, including a geo-based API to suggest nearby restaurants with healthy options within a set radius.

• Mentored 5+ teammates through code reviews, identified workflow inefficiencies across the team and proposed process improvements, and collaborated with the founder to define new AI-driven features.

Technologies : React Native, FastAPI, Open AI, yt_dlp

• Designed, developed, tested and deployed a full stack application independently, deploying in a cloud-based, containerized environment on AWS with Docker and partnering with system admin for smooth releases.

• Integrated AI using LangChain and Google Gemini to analyze satellite image and data, designing agentic workflows with prompt engineering to deliver instant results from cached or pre-analyzed emitter-specific data.

• Built interactive Mapbox layers to display 200,000+ rows of satellite and geospatial data, translating complex data workflows into an intuitive, high-performance UI across 50+ emitters with custom icons

• Reduced average page load time by ~40% by designing complex database schemas and GraphQL access patterns, developing RESTful APIs with PostgreSQL, and eliminating redundant API calls.