Skip to content
View harshvar36's full-sized avatar
5 followers · 9 following

Achievements

Achievement: YOLOAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: Pull Shark

Block or report harshvar36

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
harshvar36/README.md

👋 Hey there, I'm Harshvardhan Singh

🎓 Final-year B.Tech student passionate about building scalable, data-driven, and impactful systems blending AI/ML, DevOps, and Product Thinking.

Portfolio GitHub LinkedIn Email

🧠 About Me

  • 🤖 I specialize in Machine Learning, Predictive Analytics, and AI Deployment
  • ⚙️ Experienced with FastAPI, Streamlit, and Docker for end-to-end ML pipelines
  • 🐳 Enjoy automating workflows using CI/CD, GitHub Actions, and Cloud Deployments
  • 💬 Passionate about building impactful projects
  • 🌱 Currently exploring MLOps, Cloud-native systems, and Data-Driven Product Development

🛠️ Tech Stack

💻 Languages

🌐 Web Technologies

🤖 AI / Machine Learning

⚙️ Embedded Systems

🐳 DevOps & Tools

📚 Other Skills

📊 GitHub Stats

🌐 Let’s Connect

💬 “Building solutions that combine data, empathy, and technology — one project at a time.”

Pinned Loading

  1. automated-CI-CD-Pipeline automated-CI-CD-Pipeline Public

    A fully automated CI/CD pipeline from scratch for a Node.js app, reducing deployment time by 70% and improving release reliability by 90%.

    JavaScript

  2. energy-forecasting energy-forecasting Public

    End-to-end ML-powered energy demand forecasting system with FastAPI backend and Streamlit dashboard, deployed via Docker on Render.

    Python

  3. Realtime-Tracker Realtime-Tracker Public

    A Node.js and Socket.IO-based web application that enables real-time event tracking and live updates between connected clients. Built with Express.js and EJS, it demonstrates real-time bidirectiona…

    JavaScript

  4. streamlit-iris-app-aiml streamlit-iris-app-aiml Public

    An interactive web app to predict Iris species from sepal/petal measurements. Built with Streamlit and scikit-learn.

    Jupyter Notebook

  5. task-manager-backend task-manager-backend Public

    JavaScript

  6. task-manager_frontend task-manager_frontend Public

    HTML