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Manoj8541/README.md
Typing SVG

Profile Views    Open to Work


💫 About Me

Coding GIF

  • 🚀 Building and deploying full-stack web applications, AI/ML systems and DevOps workflows with a focus on reliable, production-ready software
  • 🤖 Exploring scalable AI/ML engineering — including PyTorch optimization, model deployment and container orchestration
  • ☁️ Expanding my skills across Cloud Computing, Security and modern frontend technologies
  • 🧩 Turning ideas into practical applications while learning how to design, deploy and scale them effectively
  • 🤝 Open to collaborating on meaningful ML-powered,DevOps and full-stack projects
  • ⚡ Started with frontend and backend development, then expanded into AI/ML, cloud and security — curiosity keeps me learning 🧠


🛠️ Tech Stack

Languages C C++ C# Java Python JavaScript TypeScript PHP
Frontend HTML5 CSS3 React AngularJS Bootstrap Tailwind CSS Vite
Backend Node.js Express Django Spring Boot Firebase Supabase
AI / ML / Data TensorFlow Keras PyTorch Pandas NumPy Streamlit Gradio
Databases PostgreSQL MongoDB MySQL
DevSecOps & Tools Docker GitHub Actions Git Vercel CodeQL Postman VS Code

🤝 Open to opportunities, collaborations, and interesting projects.

Pinned Loading

  1. ord-green-chemistry-dashboard ord-green-chemistry-dashboard Public

    Suzuki-Miyaura reaction sustainability analytics using ORD dataset - Streamlit dashboard with green chemistry metrics, ANOVA and expert system

    Python

  2. timezone-coordinator timezone-coordinator Public

    Fair timezone-aware meeting scheduler that minimizes inconvenience and balances meeting pain across global teams. 100% frontend, privacy-first.

    JavaScript

  3. Nicoman-Tourism Nicoman-Tourism Public

    Andaman & Nicobar tourism platform featuring real-time ferry schedules, interactive island maps, resort booking handoff, on-device AI travel assistant, and full-stack admin command center powered b…

    JavaScript

  4. retinal-vessel-segmentation-monai retinal-vessel-segmentation-monai Public

    Retinal vessel segmentation on the DRIVE dataset using MONAI, PyTorch, Baseline UNet, Attention UNet, DeepLabV3+ with Grad-CAM explainability and Monte Carlo Dropout uncertainty estimation

    Jupyter Notebook