Hi, I'm Karthik Koundinya 6★

I'm an

Transforming Complex Problems into Elegant AI Solutions

Karthik Koundinya

10+ Projects

Delivered across AI and Full-Stack

Clean Code

Accessible, performant, maintainable

User First

Thoughtful UX with micro-interactions

Secure by Default

Best practices and CSP in place

About Me

I'm G. Karthik Koundinya — an engineer who builds AI systems and software with production standards, not academic shortcuts. I work across AI, backend, and full-stack engineering, delivering systems that run fast, scale cleanly, and survive real-world usage without babysitting.

I build platforms that eliminate manual work: lecture-to-notes engines, UML generators that cut modeling time by 90%, sub-millisecond network classifiers, and cloud applications used daily across campus. Every project I ship is measured, optimized, and hardened — because "it works on my machine" isn't engineering.

I contribute directly to the ecosystems I depend on, with code in pandas, matplotlib, SQLFluff, Google ADK, pipx, mem0, and TheAlgorithms. My work closes edge cases, fixes real production issues, and improves reliability in tools used across the AI and data community.

My problem-solving discipline comes from competitive programming. Being a CodeChef 6★ and LeetCode 3300+ isn't a flex — it's proof that I bring speed, clarity, and algorithmic precision to engineering problems under pressure.

I operate with ownership, urgency, and depth. In AI Engineering or SDE roles, I don't need hand-holding — I diagnose, design, build, and ship. Fast.

This is the standard I work at. This is the engineer you get.

Download CV

My Skills

Key Skills

Experiences

Featured Projects

UML Designer AI – Full-Stack AI-Powered UML Diagram Generator

UML Designer AI

Converted GitHub repos into interactive UML class diagrams using Next.js, Tailwind, Express, and Flask; multi-language analysis (7+ langs) with AST + AI enrichment cut diagram time by ~80%.

Next.js Express Flask Groq API Tailwind
AI Interview Assistant

AI Interview Assistant

Built an automated interview workflow that parses resumes, extracts insights, and generates timed AI-driven questions using Groq Llama 3.1 with structured scoring stored via Redux Toolkit, and delivered a fully client-side recruiter dashboard with sortable tables, transcript modals, and PDF export using Vite, Ant Design, and persistent state for consistent evaluation.

React Vite Redux Toolkit Ant Design Groq Llama 3.1
College Lost & Found Application

College Lost & Found Application

Developed and deployed a full-stack MERN platform with Cloudinary for 200+ campus users, cutting lost-item recovery time by 60% through streamlined reporting and secure JWT authentication. Improved backend efficiency by 35% with modular Express controllers, indexed MongoDB queries, and optimized media workflows, while a responsive Tailwind UI with reusable components and real-time status updates boosted user engagement by 45%.

MERN Express MongoDB Cloudinary Tailwind

Contact Me

Email

karthikofficialmain@gmail.com

Location

Hyderabad, India

WhatsApp

Chat on WhatsApp