I am a final-year B.Tech CSE student at GRIET, Hyderabad (CGPA 9.18/10) focusing on AI/ML, MLOps, and product-centric engineering. I have won multiple hackathons, including IIT Hyderabad TechXcelerate, BITS Goa TechXcelerate, and Epitome’25 at GRIET, for building end-to-end AI solutions such as an ML health platform for panic-attack prediction and an agentic travel planner. Professionally, I have worked as a Flutter Developer Intern at Pianalytix, building four full-stack apps on Supabase, Firebase, and REST APIs, and as a Machine Learning Engineer Intern at Orinson, where I built ML pipelines with FastAPI, MLflow, DVC, and AWS EC2. I enjoy taking ideas from prototype to deployment and collaborating with founders, engineers, and researchers on practical AI systems.

I’m especially interested in practical MLOps, agentic AI systems, and AI‑driven product building. On the MLOps side, I enjoy designing pipelines with MLflow, DVC, Docker, and CI/CD to make models reproducible and deployable in real environments. I also like experimenting with multi-agent systems and tool-calling (Gemini, LangChain, Google GenAI SDK) to build autonomous workflows like my WanderLust travel planner, and building full-stack experiences with Flutter and FastAPI

I’m building an end-to-end MLOps pipeline around my ML health and agentic AI projects. I’m using MLflow, DVC, Docker, and CI/CD to make training and deployment reproducible, and exposing models via FastAPI microservices on cloud. I’m also iterating on a multi-agent travel planner that uses tool-calling to fetch live flight/hotel data and generate structured itineraries.

Srujan Krishna Gandamalla is a Sponsorship Lead at TEDxGRIET and a Computer Science and Engineering student at Gokaraju Rangaraju Institute of Engineering and Technology. With 3 years of experience, Srujan is seeking full-time opportunities and is open to introductions.