Frontend-Focused Full Stack Developer
I build real-time apps, AI-powered platforms and scalable UIs using React, Next.js 15 and TypeScript — shipping production-ready code with a focus on performance and user experience.
Tharun Chandra
Full Stack Developer
I'm a Full Stack Developer from Andhra Pradesh, India, currently pursuing my B.Tech in Computer Science & Engineering at QIS College of Engineering and Technology (CGPA: 7.57). I specialize in building fast, scalable, production-ready web applications from real-time messaging platforms to AI-powered generators.
Over the past year I've independently designed and shipped 5+ full-stack projects using React, Next.js 15, TypeScript, Node.js, PostgreSQL, Docker and various AI APIs. I care deeply about code quality, component architecture, performance, and the details that make a user experience feel great.
Outside of building, I actively grind LeetCode (434+ problems solved, 73.59% acceptance rate) because I believe exceptional frontend engineers also think algorithmically.
Open Source & Codebases
@7337475780 on GitHub
Explore my repositories to see how I structure Next.js apps, design database schemas, write custom utilities, and manage deployments.
Technologies I use to build production-ready applications.
Frontend
Backend
Database & Auth
Tools & DevOps
AI Integration
Production-style applications built independently. Live synchronized with CMS DB.
WeConnect
FeaturedA production-style real-time messaging platform with instant chat, typing indicators, read receipts, and live online/offline presence. Built with distributed state management and low-latency Socket.IO communication.
aiMagix
AIA modern AI image generation platform with intelligent prompt enhancement, HD image downloads, secure auth flows, and persistent generation history. Built with Next.js 15 and Gemini API.
webGenie
Converts natural language prompts into complete website layouts and content using Gemini and OpenAI APIs. Modular React frontend with full mobile responsiveness.
InstaLoad & TubeFetcher
Full-stack media downloading apps for Instagram Reels and YouTube videos. Containerized with Docker, deployed on Railway, with auth and persistent download history.
Cardio AI
Team LeadLed a 3-person team building production-grade ML models for heart disease risk prediction. Integrated trained models with a PostgreSQL backend for patient record management.
AI & Machine Learning Virtual Intern
EduSkills & AICTE · Supported by Google for Developers
Apr 2025 – Jun 2025 · Remote
- Completed a structured 10-week AI/ML program sponsored by Google for Developers, applying ML to real-world engineering problems.
- Built and evaluated supervised and unsupervised models (classification, regression, clustering) with Python and scikit-learn on real datasets.
- Resolved complex data pipeline challenges including class imbalance, missing values, and noisy records via augmentation and multi-source integration.
- Gained hands-on exposure to Google's AI developer ecosystem and scalable AI application development practices.
Team Lead — Cardio AI (Heart Disease Prediction)
QIS College of Engineering and Technology, Andhra Pradesh
Jan 2024 – Present
- Led a team of 3+ developers building production-grade ML models for heart disease risk prediction, owning task allocation, code reviews, and all technical decisions.
- Resolved critical data pipeline challenges through advanced augmentation and multi-source integration, improving model accuracy and generalization.
- Integrated trained AI models with a PostgreSQL backend to manage patient records, bridging ML outputs with a scalable, query-optimized database layer.
Consistent problem-solving because great UI engineers also think algorithmically.
Next.js App Router Fundamentals
May 2025
JavaScript Algorithms & Data Structures
Aug 2024
Python (Basic)
Aug 2024
Responsive Web Design
May 2024
I write about things I build, bugs I solve, and architectures.
I'm actively looking for full-time roles. Whether you have a position, a project, or just want to say hello — my inbox is always open.