Kungumapriyaa M
AI/ML Engineer · Full-Stack Developer
Building intelligent systems, from graph neural networks to full-stack platforms.
About
A little about me
B.Tech AI & Data Science student at Sri Eshwar College of Engineering, building intelligent systems that span graph neural networks, computer vision and full-stack web platforms. I enjoy taking AI research ideas, from misinformation detection to digital twins, and turning them into working, real-time systems.
Journey
Where I've been
Education
B.Tech, Artificial Intelligence & Data Science
2024 – 2028Sri Eshwar College of Engineering
HSC
2021 – 2023St. Joseph's Matriculation Higher Sec School
SSLC
2020 – 2021St. Joseph's Matriculation Higher Sec School
Experience
What I've worked on
03 Roles
Aug 2025 – May 2026
Agentic AI Intern
Hem
Interned on agentic AI systems, designing autonomous LLM-driven agents capable of planning, tool use and multi-step task execution. Worked on prompt orchestration, agent memory and integrating external tools and APIs into agent workflows.
MERN Stack Intern
Hem
Worked as a MERN Stack intern building and maintaining full-stack web applications: designing REST APIs with Express and Node.js, modeling data in MongoDB, and building responsive, interactive interfaces in React.js.
AI Intern
Infosys SpringBoard
Gained experience in applying AI/ML for knowledge representation and mapping interconnected concepts across domains, improving skills in data modeling, relationship extraction and visualization.

Projects Built
Awards & Recognitions
Certifications Earned
Current CGPA
Work
Featured Projects
A mix of AI research and full-stack engineering, from graph neural networks to real-time computer vision systems.
LeakSense
AI Digital Twin for Diesel Engine Leak Detection
Built an AI-based diesel engine air leak detection and isolation system using sensor analytics and NVIDIA Omniverse. Integrated a Digital Twin for real-time visualization and fault localization, enabling AI-driven diagnostics and maintenance recommendations.

BLE Mesh + GNN Fake News Propagation
Edge AI for Decentralized Misinformation Detection
Developed an edge AI framework leveraging Graph Neural Networks (GNNs) to detect and analyze fake news propagation across decentralized peer-to-peer networks. Optimized on-device inference using TensorFlow Lite and integrated real-time propagation modeling for low-latency misinformation detection.
EduVerse
View LiveFull-Stack Academy Platform
Developed a full-stack academy website using React.js, Node.js and Express.js. Implemented responsive and interactive pages for courses, admissions and student information, with dynamic content and a clean, intuitive UI for seamless navigation.


Park Ease
View LiveAI-Based Real-Time Parking System
Developed an AI-based parking system using OpenCV and computer vision to detect vehicle presence and identify available parking slots in real time. Designed and implemented the image processing pipeline and detection logic, enabling accurate slot classification under varying lighting and real-world conditions.
Sri Kungumayi Traders
View LiveIndustrial & Textile Trading Company Website
Designed and built a business website for Sri Kungumayi Traders, an industrial and textile trading company. Features a conversion-focused landing page showcasing their product range (textile cones, cotton yarn and precision industrial fabrication materials) with a product catalog, quote-request flow and WhatsApp-integrated inquiries.

Toolbox
Skills
Tech Stack
Tools
Soft Skills
Practice
Coding Profiles
Credentials
Certifications
Leadership
Where I Lead
Community roles and open-source contributions alongside my coursework.
GDG Photography Co-Lead
IIT PALS Student Lead
GSSoC SCP Contributor
Recognition
Achievements
2nd Runner-Up at TN-IMPACT 2026
Caterpillar Tech Challenge 2026, Top 10 Finalist
2nd Runner Up, TN IMPACT '26
First Place, CODETHON '26
Winner, Prompt Battle
SAP Hackfest '25, Finalist
1st Place, Project Expo
1st Place, Freshathon 3.0
Top Performer in Coding Contests (4x)
1st Place, Paper Presentation at KPR College
3rd Runner Up, Paper Presentation at KIT College
2nd Runner Up, Creatathon Event
4th Runner Up, SelfE Hackathon
Contact
Let's build something intelligent together.
Open to internships, collaborations and interesting AI/ML problems. Reach out, I usually reply within a day.