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Tharanitharan-M/README.md

Tharanitharan Muthuthirumaran

💫 About Me:

Hi! I'm Tharanitharan, a Master's student in Computer Science at Northeastern University, passionate about AI, data engineering, and backend development. I've worked at Accenture and Codecademy, building impactful tech solutions.

🔭 Currently working on: AI-powered tools, data pipelines, and backend development projects.
👯 Looking to collaborate on: Innovative tech projects in AI, data engineering, and web development.
🤝 Looking for help with: Optimizing large-scale data processes and mastering advanced AI models.
🌱 Currently learning: Advanced machine learning, cloud technologies, and backend optimization techniques and I also learning GraphQL
💬 Ask me about: Automating workflows, building AI-driven applications, or optimizing backend systems.
⚡ Fun fact: I can debug code faster than I can decide what to eat for dinner—tech problems are easier than food choices!

🌐 Socials:

LinkedIn email Portfolio

💻 Tech Stack:

Languages: Python Java JavaScript TypeScript Ruby SQL

Backend Development: Flask FastAPI NodeJS Ruby on Rails GraphQL

Frontend Development: React Next.js HTML5 CSS3 TailwindCSS

Databases: MySQL PostgreSQL MongoDB SQLite

Cloud & DevOps: AWS Azure Google Cloud Docker Jenkins

Machine Learning & Data Engineering: TensorFlow PyTorch Scikit-learn Pandas Apache Kafka

🎯 Notable Projects:

  • VidSummarize: Built a React-based web application leveraging Google's Gemini AI to transcribe, summarize, and enable Q&A for YouTube videos.
  • Emoji Odyssey: Currently developing a multiplayer emoji puzzle game with integrated chat features, enhancing interactive gameplay and social engagement.
  • Gamified Calorie Tracker: Working on an engaging app that gamifies health tracking, featuring virtual pets that evolve with the user's progress in tracking calories, water intake, and exercise.
  • Stock Market Data Pipeline: Designed an AWS and Apache Kafka-based pipeline for real-time stock data ingestion, storage, and querying.
  • Cyclist BI Dashboard: Created interactive Tableau dashboards by processing millions of ride records via Google BigQuery.
  • Non-Invasive Glucometer: Published research on using IR sensors with Raspberry Pi for blood glucose monitoring.

📖 Certifications:

  • Microsoft Certified: Azure Fundamentals
  • AWS Certified Cloud Practitioner
  • Google Data Analytics Professional Certificate
  • Meta Front-End Engineer Professional Certificate

👨‍💼 Work Experience:

  • Software Engineer, Codecademy: Developing AI-powered educational tools and enhancing content creation workflows.
  • Software Development Engineer, Accenture: Led automation testing using Python, Jenkins, and Selenium, improving testing efficiency by 18%.
  • Operations Intern, Integration Wizards: Developed Docker containers and implemented object detection systems using YOLOv5.

📊 GitHub Stats:



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  1. VidSummarize VidSummarize Public

    An AI-powered Flask web app that transcribes, summarizes, and enables interactive Q&A for YouTube videos using Google Gemini AI. Designed to make video content more accessible and interactive.

    Python

  2. Emoji-Odyssey-Web Emoji-Odyssey-Web Public

    Emoji Odyssey is a real-time multiplayer and single-player web game where players guess words based on emoji clues, featuring dynamic scoring, leaderboards, and chat.

    Python

  3. Credit-Card-Fraud-Detection Credit-Card-Fraud-Detection Public

    This repository explores fraud detection in credit card transactions using machine learning. It includes data analysis, insights, and a Logistic Regression model to classify transactions as fraudul…

    Jupyter Notebook 1

  4. Stock-Market-Analytics-Dashboard Stock-Market-Analytics-Dashboard Public

    An interactive Dash-based dashboard for visualizing stock market data with price trends, volume, candlestick charts, OHLC bars, profit margins, P/E ratios, Bollinger Bands, and MACD indicators. Bui…

    Python 1

  5. AI-Personal-Trainer AI-Personal-Trainer Public

    A real-time bicep curl counter using OpenCV and MediaPipe for pose estimation. Tracks elbow and shoulder angles to count reps accurately.

    Python

  6. Stock-Market-Data-Pipeline Stock-Market-Data-Pipeline Public

    Python