Third-year CS Engineering student passionate about AI, Deep Learning, and building intelligent systems. π
I am obsessed with the mechanics of artificial intelligence. Currently entering my third year of B.Tech in CSE (AI & Future Technologies) with a 9.15 CGPA, I spend my time building AI-powered systems, integrating Large Language Models (LLMs), and mastering core computing concepts.
- π§ Focus: Artificial Intelligence, Prompt Engineering, and RAG frameworks.
- βοΈ Core CS: Operating Systems, Data Structures & Algorithms (DSA), OOP, DBMS, and Computer Networks.
- π¬ Exploring: Computer Vision, Agentic AI, and real-time ML inference pipelines.
- βοΈ Certifications: Earned the Google AI Professional Certificate and Google AI Essentials, building 20+ AI artifacts and mastering prompt engineering.
- π¨ HackMSC 2.0: Secured 5th Place out of numerous teams for engineering a Smart Mining Safety System.
- π©Ί AIFT Summer Challenge: Secured 2nd Runner-Up for developing Derm.AI, a deep learning skin classification tool, co-developed with my teammates Mageshwaran T and Upputuri Naga Rishita.
| Project | Description | Highlight |
|---|---|---|
| Derm.AI | Deep learning skin condition classification via Autoderm API. | AI / Deep Learning |
| Emotion Detection Engine | Real-time emotion detection with adaptive learning support using CV & RAG. | Computer Vision / RAG |
| Smart Mining Safety System | AI-powered safety monitoring system (HackMSC 2.0 β Top 5). | AI / Embedded Systems |
β‘ Core Concepts: Data Structures & Algorithms (DSA), Object-Oriented Programming (OOP), DBMS, Operating Systems, Computer Networks, & Prompt Engineering.

