HARIHARA SUDHAN. R Harihara04sudhan

Full Stack Developer & AI/ML Engineer

GitHub Stats & Activity

Most Used Languages

About Me

�‍💻 Who Am I?

🎓 Final Year Computer Science Engineering Student
💼 Actively seeking Full-time SDE roles & Internships
🚀 Open to Freelance Projects & Contract Work

Current Focus:
  - Full Stack Development (MERN, Next.js)
  - AI/ML Engineering (PyTorch, TensorFlow)
  - System Design & DSA Practice
  - Building Production-Ready Applications

Actively Preparing For:
  - Software Engineering Roles
  - Product-Based Companies
  - Technical Interviews & Assessments

What I Offer:
  - End-to-end product development
  - Scalable architecture design
  - Quick learning & adaptation
  - Strong problem-solving skills

🎯 Key Strengths

✅ Full Stack Expertise: MERN, Next.js, Python, FastAPI
✅ AI/ML Skills: Deep Learning, NLP, Computer Vision
✅ System Design: Scalable & efficient architectures
✅ Problem Solver: LeetCode, competitive programming
✅ Fast Learner: Quick to adapt to new technologies

📊 Skill Proficiency

Area	Level
Full Stack Development
AI/ML Engineering
Data Structures & Algorithms
System Design
Problem Solving

� Quick Stats

� 20+ Projects built & deployed
🧩 300+ DSA Problems solved
🤖 5+ AI/ML Models in production
📚 Continuous learner & tech enthusiast

🌟 Featured Projects

💼 Project Highlights

🌐 1. MATRIX - Decentralized Platform

Tech Stack: React.js, Solidity, Web3.js, IPFS, MetaMask

Highlights:
  - Smart contracts with blockchain integration
  - Web3 wallet connectivity
  - Decentralized storage with IPFS
  - Modern responsive UI/UX

🤖 2. AI-Powered Intrusion Detection

Tech Stack: Python, TensorFlow, Flask, React, MongoDB

Achievements:
  - 95% threat detection accuracy
  - Real-time network monitoring
  - Machine learning-based analysis
  - Production-ready deployment

🔍 3. RAG-Based Search System

Tech Stack: Python, FastAPI, PostgreSQL, OpenAI, Vector DB

Innovation:
  - Advanced semantic search
  - Vector database integration
  - Fuzzy matching algorithms
  - Fast query processing

🏥 4. Medical AI - Tumor Detection

Tech Stack: PyTorch, Attention U-Net, Grad-CAM, Flask

Medical Impact:
  - Automated tumor detection
  - Explainable AI visualization
  - Medical imaging analysis
  - Doctor-friendly interface

🎯 Technical Achievements

Diverse Portfolio

Full Stack

Best Practices

Production Grade

💻 Technical Skills

🚀 Technical Stack

💻 Frontend Development

🔧 Backend Development

🗄️ Databases

🤖 AI/ML & Data Science

☁️ Cloud & DevOps

🎯 Core Competencies

✅ System Design	✅ RESTful APIs	✅ Data Structures & Algorithms
✅ Microservices	✅ Database Design	✅ Code Optimization
✅ CI/CD Pipelines	✅ Testing & Debugging	✅ Agile Development

🌐 Connect With Me

📱 Let's Connect!

💼 Professional

🏆 Coding Profiles

🎨 Social

💡 Open For Opportunities

Software Engineer positions

Technical internships

Contract work welcome

Team projects & contributions

📞 Get In Touch

💼 Looking for: Full-time SDE roles, Internships, Freelance projects
🎯 Interested in: Full Stack Development, AI/ML Engineering, System Design
🌍 Location: Open to remote & relocation opportunities
⚡ Availability: Ready to start from January 2026 | Graduating May 2026
🌐 Portfolio: harisudhan.xyz

🐍 Contribution Activity

💼 Ready for New Opportunities!

💙 If you like my work, please ⭐ my repositories!
🤝 Open to collaborations, freelance work, and full-time opportunities
🌐 Portfolio: harisudhan.xyz
📧 Reach out: harisudhan2284@gmail.com

Thanks for visiting! 😊

"The best way to predict the future is to create it." - Peter Drucker