Computer Science Engineer specialising in AI-driven backend systems, real-time infrastructure, and cloud-native application development. I build production-oriented systems — from low-latency WebSocket communication layers for autonomous hardware to serverless AI pipelines on GCP. My work at IISER Trivandrum was presented at IInvenTiv 2025, IIT Madras.

Proficient in Python, SQL, Django, and Node.js, with hands-on deployment experience across GCP and Azure. Comfortable at the intersection of applied AI and scalable engineering.

AI Engineer Intern · Indian Institute of Science Education and Research, Trivandrum Jan 2025 – Jun 2025

Engineered a low-latency alert communication system for autonomous rovers using Python and WebSockets, enabling real-time error reporting between hardware and monitoring nodes. Designed and implemented a scalable federated learning system using Dropout-regularised FedAvg models across 100+ edge devices. The system was showcased at IInvenTiv 2025, the premier techfest at IIT Madras.

MeetScribe AI — Autonomous Meeting Assistant

Architected a serverless backend on GCP Cloud Functions to automate transcription for professional meetings. Integrated Gemini 2.0 Flash Lite for key decision and action item extraction, delivering professional PDF reports via SMTP at 99%+ accuracy. Used Groq's high-speed inference to scale transcription throughput by 20x with minimal latency.

IrrigationAlert — Smart Agricultural Alert System

Built a real-time Android alert system deployed across 2000+ sq. metres of paddy field testing, enabling autonomous rover–farmer communication for rapid issue detection. Implemented WebSocket-based push notifications with timestamped alerts and dismissal functionality. Optimised UI for low-end Android devices, reducing app load time by 40% under rural network conditions.

Languages

Backend and Cloud

AI and Data

Tools and Workflow