Hello, World! 👋
Final-year B.Tech CSE student (CGPA 8.51) from Malla Reddy University, Hyderabad. I build intelligent, real-world systems at the intersection of AI/ML and full-stack engineering — turning complex data into decisions.
About Me
I'm Venkata Satya Sai Hrushikesh Killi, a Computer Science undergraduate from Hyderabad specialising in AI/ML development. I love designing systems that fuse real-world data, machine learning, and clean interfaces.
My capstone project — AQUA-SHIELD — was accepted at an International Conference (ICITSSFFBS-26, 2026) as a paper on explainable AI using LLMs. Outside of CS, I train calisthenics and built a fitness web app to prove it.
Education
Work
Systems I've built — from flood-risk AI to fitness apps and big-data pipelines.
End-to-end AI-driven system integrating real-time environmental APIs, ML flood/drought prediction models, and a Phi-3 Mini LLM that generates human-readable, explainable insights. Includes interactive Streamlit dashboards and automated PDF reporting.
Full-stack fitness web app delivering personalised workout plans via a BMI-based recommendation engine. Built with React.js and MongoDB, featuring a responsive component-driven UI and efficient backend data handling.
Processed large-scale Indian government rainfall datasets with PySpark to uncover regional trends, seasonal anomalies, and statistical comparisons. Authored a research paper documenting findings, methodology, and distributed-computing techniques used.
Real-time driver fatigue monitoring using computer vision. Detects eye-closure patterns, triggers an audio alarm at 5 seconds, and fires an automated emergency call via the Twilio API after prolonged inactivity — a full safety pipeline.
Tech Stack
Tools and languages I use to bring ideas to life.
Recognition
Get In Touch
Open to AI/ML roles, research collaborations, and industry opportunities. Reach out — I respond fast.
kvss.hrushikesh@gmail.com