Hi, I'm Kundana Reddy Tamma 👋

AI Engineer | Full-Stack Developer | Innovator

I am an AI & Full-Stack Developer passionate about building intelligent systems that solve real-world challenges. My work ranges from Quantum Fraud Detection to Scalable Social Platforms, combining cutting-edge AI (NLP, RAG, Computer Vision) with robust engineering.

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💼 Professional Experience

QuEdX™ Private Limited | Quantum Algorithm Development Intern
(Dec 2025 - Present)

• Developing and simulating novel quantum algorithms for optimization and hybrid Quantum-AI applications.
• Conducting research on Quantum Search algorithms and documenting technical findings for real-world use cases.
• Creating quantum-inspired solutions and collaborating with engineering teams on hybrid architectures.

Store Infinity | Research and Development Intern
(Sep 2025 - Present)

• Leading R&D initiatives to integrate AI-driven solutions into full-stack applications.

CodeAlpha | Full Stack Intern
(Jul 2025)

• Built and deployed responsive web applications, strengthening expertise in the MERN stack.

InternPro | Data Science Intern
(Jun - Jul 2025)

• Solved complex data analytics problems and implemented machine learning models for predictive analysis.

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🚀 Engineering Highlights

1. Project Foresight: Hybrid Quantum Fraud Detection ⚛️

(Finalist - Amaravati Quantum Valley Hackathon 2025)

Detecting "Mule Rings" in financial transactions using Quantum Mechanics.

• The Problem: Traditional fraud detection models struggle to identify complex, cyclic mule networks hidden within standard transaction data.
• The Solution: A hybrid system utilizing Quantum Support Vector Classifiers (QSVC) and Biased Hamiltonian Dynamics to project transaction data into high-dimensional space, revealing hidden fraudulent patterns.
• Tech Stack: Qiskit, PyTorch Geometric, Neo4j, Scikit-learn.

2. WishMart: Full-Stack E-Commerce Platform 🛒

(Scalable Web Application)

A robust e-commerce engine with secure payments and real-time order management.

• The Problem: Building a scalable online store requires complex state management for carts, secure payment gateways, and efficient product indexing.
• The Solution: Developed a full-featured platform with Stripe payment integration, Celery/Redis for asynchronous task handling (emails/orders), and a dynamic admin dashboard.
• Tech Stack: Django, SQLite, Stripe API, Redis, Celery, Bootstrap.

3. SocialSpace: Modern Social Network 🌐

(Next-Gen Social Media)

A seamless, type-safe social platform for community engagement.

• The Problem: Meaningful social interaction requires a fast, responsive, and secure environment free from lag and data insecurity.
• The Solution: Built a high-performance TypeScript application featuring real-time feeds, secure JWT Authentication, and a "Like/Follow" graph architecture using Prisma ORM.
• Tech Stack: React 18, Vite, TypeScript, Prisma, Node.js, TailwindCSS.

4. OrbitBot: ISRO AI Assistant (GraphRAG) 🛰️

(Finalist - Bharatiya Antariksh Hackathon 2025)

Eliminating LLM Hallucinations in Scientific Data.

• The Problem: Standard AI chatbots often hallucinate critical scientific details like orbital parameters or payload manifests.
• The Solution: An intelligent assistant that uses a Knowledge Graph (GraphRAG) to ground answers in verified ISRO data, ensuring strictly factual responses for complex queries.
• Tech Stack: Neo4j, LangChain, FastAPI, React, spaCy.

5. News Veracity Detector 📰

(Social Impact Tool)

Real-time media bias and fact-checking engine.

• The Problem: Misinformation spreads rapidly, and manual fact-checking is too slow.
• The Solution: A real-time engine that cross-references news articles with trusted sources (Google Fact Check API) and uses LLMs to analyze bias, providing an instant credibility score.
• Tech Stack: FastAPI, React, Crawl4AI, OpenAI, LangChain.

6. Driver Distraction Alert System 🚗

(Edge AI / IoT)

Real-time safety system for public transport.

• The Problem: Driver distraction is a leading cause of accidents, but most detection systems require expensive hardware.
• The Solution: A lightweight Edge AI system deployed on NVIDIA Jetson that detects phone usage and drowsiness in real-time using optimized YOLOv8 and Landmarking models.
• Tech Stack: NVIDIA Jetson, YOLOv8, MediaPipe, OpenCV.

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🛠️ Technical Arsenal

Domain	Technologies
Languages	Python, Java, C, JavaScript, TypeScript
AI / ML	PyTorch, TensorFlow, NLP, Transformers, YOLOv8
Web Dev	React 18, Node.js, Django, FastAPI, Tailwind CSS
Databases	SQL, Neo4j (Graph DB), MongoDB, SQLite
Tools	Git, GitHub, Postman, Linux, Docker

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