Meghana Vusirika

IT Assistant Intern at New Haven Mortgage Corporation

Designed and launched a mortgage eligibility chatbot publicly accessible on the company website to automate client prequalification; created UML conversation flowcharts and state diagrams to model interactions and ensure accurate eligibility calculations while integrating with company systems; provided technical support and coordinated with the MSP to configure laptops for new hires, troubleshoot hardware/software issues, and manage onboarding/offboarding processes; maintained IT documentation and authored a New Hire IT Guide and leveraged Microsoft Office for reporting and process tracking.

Frontend Developer at WE Accelerate Program – Microsoft Azure and AI

Built FinvestCoach, a personal finance coaching app with Next.js, TypeScript, and Microsoft Azure and AI. The app features an AI-powered chatbot that provides personalized investment insights, savings strategies, and budgeting guidance tailored to user profiles. Applied best practices in component reusability, accessibility, and frontend design; deployed on Vercel with improvements from mentor feedback from Microsoft.

Frontend Developer at ESG Analytics & AI Platform

Built an intelligent ESG analytics platform enabling investors and analysts to evaluate ESG risks across public companies using AI-driven insights and predictive analytics. Developed an ESG trend prediction system using statistical modeling and ML algorithms, integrating with Hugging Face Transformers API for NLP tasks including sentiment analysis and risk scoring, with automated ESG report summarization achieving 85% accuracy. Built an interactive data visualization dashboard with real-time ESG metrics using React, Chart.js, and D3.js, and a secure REST API supporting PDF processing and multi-company benchmarking.

Frontend Developer at Shelf Life – AI-Powered Pantry & Recipe Management App (SpurHack 2025)

Built a full-stack pantry manager to track food expiry, manage inventory, and generate personalized recipes using local LLMs (Ollama + Llama 2), Stable Diffusion imagery, and OCR receipt scanning for automated item entry. Implemented a Node.js/Express backend with MongoDB plus offline localStorage fallback, ensuring seamless data persistence and cross-device use. Designed a modern, responsive UI with Tailwind CSS and Shadcn UI, adding real-time toasts, dynamic recipe cards, and JWT authentication for a secure user experience.

Frontend Developer at SpendShield – Budget Tracking Chrome Extension

Built a Chrome extension for real-time budget tracking across major e-commerce sites using Manifest V3, backend services, and Chrome Storage APIs. Implemented smart price detection via DOM parsing and pattern matching to extract cart totals and product details from dynamic web pages. Enabled cross-tab syncing with real-time spending alerts, analytics dashboards, and Chrome integration for seamless multi-device data persistence.

Frontend Developer at Snap Sphere – AI-Powered Vibe-Classified Photo Spot App (Google Maps Hackathon 2025)

Developed a full-stack web app enabling users to discover aesthetic photo spots using interactive map overlays through image classification, AI-powered vibe classification, and user-submitted locations, integrating frontend and backend components to deliver a seamless, personalized, data-driven experience.

Full Stack Developer at SpurHacks 2025 – Shelf Life

Built a full-stack pantry management app to track food expiry, manage inventory, and generate personalized recipes using local LLMs (Ollama + Llama 2), Stable Diffusion for food imagery, and OCR receipt scanning for automated item entry. Implemented a Node.js/Express backend with MongoDB + offline localStorage fallback, ensuring seamless data persistence and cross-device reliability. Designed a modern, responsive UI with Tailwind CSS, adding real-time toasts, dynamic recipe cards, and secure JWT authentication.

Chrome Extension Developer at SpendShield – Budget Tracking Chrome Extension

Built a Chrome extension for real-time budget tracking across major e-commerce sites using Manifest V3, background workers, and Chrome Storage APIs. Implemented smart price detection algorithms via DOM parsing and pattern matching to extract cart totals and product details from dynamic pages. Enabled cross-tab synchronization with real-time spending alerts, dashboards, and Chrome sync integration for seamless multi-device data persistence.