• Led end-to-end development of a real-time drone Ground Control Station using Python, FastAPI, WebSockets, WebRTC, and MAVLink.
• Architected a React mission dashboard with live MAVLink telemetry, WebRTC video streaming, and autonomous command dispatch.
• Building interceptor drone software with low-latency targeting and autonomous decision-making pipelines.

• Built and deployed text classification pipelines using TF-IDF with Logistic Regression, KNN, and Naive Bayes.
• Evaluated models with F1-score, precision-recall, and confusion matrix analysis to drive accuracy improvements.
• Developed a Node.js/Express API with a React frontend for real-time model inference from raw input to structured UI.

• Developed C applications on Arduino targeting microcontroller architectures with sensor interfacing and GPIO control.
• Simulated and validated end-to-end circuit prototypes in PicsimLab across hardware-software integration and peripheral communication.

Selected among 800 teams from 31,000+ registrations and presented live in Bangalore as a solo participant.

Ranked among 12,885 participants from 48 countries in a 24-hour AI agent building challenge.

Secured Rank 16 in Codeforces Round 1081 (Div. 2) among 13,600+ participants.

Current GPA: 7.80/10.0. Based in Andhra Pradesh, India.