AI/ML Engineer in Progress | GenAI & Full-Stack Developer | Building Real-World AI Solutions
Chennai,India
charanmvn@gmail.com
I'm a Computer Science and Engineering student specializing in Artificial Intelligence and Machine Learning at SRM Institute of Science and Technology, passionate about building intelligent systems that address real-world challenges. My work sits at the intersection of **AI/ML, Generative AI, and software engineering**. I'm particularly interested in moving beyond model experimentation to building complete, usable products—from developing machine-learning pipelines and integrating AI into applications to designing APIs and connecting models with full-stack systems. I've worked on projects across different problem spaces, including an AI-driven coastal flood prediction platform, an adaptive cognitive attention assessment tool, and a GenAI-powered civic technology platform. These experiences have pushed me to think beyond algorithms and consider system design, practical implementation, reliability, and the people who ultimately use the technology. I believe the best way to learn engineering is to build, experiment, collaborate, and share ideas. Through hackathons and developer communities, I challenge myself to turn ambitious ideas into working solutions and learn from people who approach problems differently. My technical interests include Machine Learning, LLMs and Generative AI, AI agents, backend engineering, and scalable AI-powered applications. I'm always interested in connecting with developers, AI researchers, founders, and builders who are curious about what's possible and motivated to make it happen. If you're working on an interesting problem or building something ambitious, I'd love to connect, exchange ideas, and explore opportunities to collaborate.
Full Stack AI Intern
Mentiscope
Disease Prediction from Symptoms
Built a machine-learning project that explores predicting possible diseases from user-reported symptoms. Focused on preparing symptom data, applying machine-learning techniques, and generating model-based predictions to demonstrate a practical healthcare AI use case.
ASAT — Adaptive Scientific Attention Assessment Tool
Developing a cognitive assessment tool designed to evaluate sustained, selective, divided, and executive attention through interactive tasks. Contributing to backend integration using Python FastAPI and PostgreSQL, with REST APIs for assessment sessions, answer processing, completion, and result retrieval as part of the MentiScope platform.
Smart Bharat — GenAI Civic Platform
Contributing to the development of a GenAI-powered civic platform designed to improve access to public-service information and citizen engagement. Working with a modern full-stack architecture and AI integration to build an accessible, responsive, and scalable application.
B-tech
SRMIST · 9.3
Intermediate
FIITJEE · 85%
Attendee · Oct 24, 2026