Profile

Rushikesh Wani

Full Stack Developer

MS Computer Science (4.0 GPA) at Northeastern University, graduating May 2027. Former Software Engineer @WebMD, where I optimized Medscape.com (10M+ users) achieving 20% traffic uplift and 1.2s latency reduction. Actively seeking SDE internships from May 2026 to December 2026. Full-Stack expertise: MERN Stack, Vue.js, Node.js, C++. Learning: Generative AI, Machine Learning, AWS Cloud Architecture.

About

I'm a Full Stack Developer with a Master's degree in Computer Science from Northeastern University. I specialize in building scalable web applications using modern JavaScript frameworks and cloud platforms. I enjoy working at the intersection of design and engineering, creating intuitive user experiences backed by robust, clean code.

My expertise spans frontend development with React and Vue.js, backend systems with Node.js and Express, and cloud deployments on platforms like Google Cloud Platform. I've worked on high-traffic applications serving millions of users, optimizing performance and implementing scalable architectures.

Currently exploring and expanding my skills in Generative AI, Machine Learning, and AWS Cloud Architecture. I'm eager to apply these emerging technologies to build intelligent, cloud-native solutions that solve real-world problems and deliver exceptional user experiences.

Actively seeking SDE internships from May 2026 to December 2026. Currently building accessible, pixel-perfect digital experiences and contributing to open-source projects. When I'm not coding, you can find me exploring new technologies, contributing to the developer community, or working on side projects that push my boundaries.

Experience

Sep 2022 — Aug 2025

Led migration of Medscape.com (10M+ monthly users) from Vue 2 to Vue 3, reducing bundle size by 35% and improving page load latency by 1.2 seconds. Implemented SSR optimization and CSS-in-JS architecture. Built healthcare platform with 8-person team; created reusable Vue.js component library.

  • Vue.js
  • Vue 3
  • JavaScript
  • Performance Optimization
  • SSR
  • Node.js
Jun 2022 — Aug 2022

Developed custom team management dashboard using JIRA RESTful APIs, streamlining resource tracking and role distribution. Accelerated Vue 3 migration by resolving critical legacy bugs and optimizing CI/CD pipelines, ensuring stability for early-stage feature releases.

  • Vue.js
  • JavaScript
  • JIRA API
  • CI/CD
  • REST APIs
Feb 2020 — May 2022

Engineered custom billing and receipt generation system featuring dynamic PDF printing and template customization. Automated data reporting pipelines using CRON jobs and Google Sheets API to synchronize database records in real-time, eliminating manual data entry.

  • Node.js
  • Express.js
  • PDF Generation
  • Google Sheets API
  • CRON
  • MongoDB
View Full Resume

Education

Sep 2025 — May 2027

MS in Computer Science · Northeastern University

Boston, MA
GPA: 4.00
Programming Design ParadigmWeb DevelopmentAlgorithmsDatabase Management
Aug 2018 — May 2022

B.E. in Computer Engineering · University of Mumbai

Mumbai, India
GPA: 3.75

Skills

Languages:

C/C++
JavaScript
TypeScript
Java
Python
HTML5
CSS3

Frameworks:

Node.js
Express.js
Vue.js
React.js
Next.js
Bootstrap
FastAPI

Databases:

MongoDB
Firestore
SQL
PostgreSQL

Developer Tools:

Git
Docker
Firebase
Webpack
VS Code
IntelliJ
GitHub

CS Fundamentals:

Data Structures & Algorithms
Object-Oriented Programming
REST APIs
System Design
Microservices

Achievements

  1. Detection of Counterfeit Products Using Blockchain

    Published peer-reviewed paper on blockchain-based counterfeit detection. Received Copyright Certificate from the Government of India.

    Publication • ITM Web of Conferences, ICACC 2022

Projects

Amazon Review Sentiment Analyzer

• Advanced Chrome extension (Manifest V3) for Amazon product sentiment analysis • Multi-page scraping with persistent local storage and caching • AI-powered NLP using FastAPI backend, LangChain, and OpenAI APIs • Real-time sentiment detection and aggregation across review pages • Visual insights dashboard with sentiment metrics and trends • Docker containerization for scalable deployment • Secure credential handling and privacy-first architecture

  • Chrome Extension
  • FastAPI
  • LangChain
  • OpenAI
  • Sentiment Analysis
  • Machine Learning
  • Web Scraping
  • React
  • Docker
  • Python
Amazon Review Sentiment Analyzer picture

MedPod — Private Health Report Translator

• Upload your lab report PDF or TXT and get plain-English explanations • Trend charts for tracked parameters across multiple reports • Floating AI chat that answers follow-up questions using your reports as context • Runs 100% locally with Podman AI Lab + local LLMs (Qwen3, Gemma, Granite) • FastAPI backend for PDF parsing, LLM orchestration, and chat; React + Vite frontend with Tailwind • Privacy-first: no cloud, no API keys, local model inference only

  • FastAPI
  • React
  • Vite
  • Tailwind CSS
  • pdfplumber
  • pytesseract
  • LLM Orchestration
  • Podman
MedPod — Private Health Report Translator picture

Job Copilot

• Chrome extension that analyzes job listings and scores your resume • Provides Apply / Cold Email / Skip recommendations with reasoning • Generates cold emails, resume bullet rewrites, and LinkedIn search queries • Logs applied jobs to Google Sheets with one-click integration • FastAPI backend with LangGraph pipeline and multi-model LLM usage (Groq, Gemini, OpenAI) • Privacy-aware: handles resume data and job parsing in user's environment

  • Chrome Extension
  • React
  • FastAPI
  • LangGraph
  • Google Sheets API
  • Resume Parsing
  • NLP
Job Copilot picture