🎓 B.Tech in Computer Science & Engineering
🏫 NIET, Greater Noida
🧑‍💻 Status: Student / Fresher

I’m a tech enthusiast and continuous learner with strong fundamentals in core CS subjects, hands-on experience in full-stack development, and a growing passion for open-source and scalable systems.
I believe in learning by building, strengthening concepts through projects, problem-solving, and real-world tools.

• C++ (Basics, OOP)
• Data Structures & Algorithms (C++)
• Competitive Programming
  • LeetCode
  • Codeforces

• Operating Systems
• Computer Networks
• DBMS
• Theory of Computation
• Computer Organization & Architecture

• Automation & Scripting
• File Handling

• HTML5
• CSS3
• JavaScript (Core, DOM, ES6)
• React.js

• Node.js
• Express.js

• MongoDB
• MongoDB Atlas

• REST APIs
• CRUD Operations
• Authentication
• Postman

• MERN Stack Projects

• Object-Oriented Programming (Advanced)
• System Design
  • Low-Level Design (LLD)
  • High-Level Design (HLD)

• Git & GitHub
• Docker (Basics)
• GitHub Actions
• CI/CD Pipelines
• AWS
  • EC2
  • S3
  • IAM
• Deployment & Production Basics

• Focus on strong CS fundamentals
• Learn concepts → implement through projects
• Improve code quality, structure, and scalability
• Actively exploring open-source best practices

(Live links & repos will be added soon as development progresses)

• 🔹 Property Management System — MERN (2026)
  Built a full-stack platform to manage property listings, tenants, and transactions.
  Implemented secure authentication and role-based access.
  Designed dynamic dashboards for real-time data visualization.

• 🔹 Real Estate Management System — Full Stack (2026)
  Developed a scalable system for property search, booking, and management.
  Created optimized REST APIs for high performance.
  Designed a responsive UI for smooth user experience.

• 🔹 Dhanvantri-AI — AI Medical Assistant (2026)
  Built an AI-powered platform to assist doctors in analyzing medical reports.
  Integrated 6 AI agents for diagnosis support and insights.
  Focused on decision-making support systems in healthcare.

• 🔹 Chaitanya Health — ML + MERN (2025)
  Developed machine learning models to analyze mental health data.
  Identified behavioral patterns and insights.
  Combined ML with full-stack development for real-world application.

• 🔹 Stock Market Predictive Analysis — Python (2026)
  Used historical data to forecast stock trends.
  Applied statistical modeling & machine learning techniques.
  Focused on data-driven financial insights.

• LeetCode: Coming Soon
• Codeforces: Coming Soon

My Github Stats

• Strengthen DSA & competitive programming
• Build production-grade MERN applications
• Explore backend scalability & system design
• Contribute consistently to open-source
• Prepare for software engineering roles

• 💼 LinkedIn: www.linkedin.com/in/anant-tripathi-202157325
• 🐙 GitHub: https://github.com/GammaAT96

I’m always open to:

• Learning from others
• Collaborating on beginner-friendly open-source projects
• Building meaningful tech solutions

✨ Let’s learn, build, and grow together.