I build software that lives at the intersection of artificial intelligence, cloud infrastructure, and human-centered design.
Final-year B.Tech Information Technology student at CHRIST (Deemed to be University), Bengaluru (Batch 2023–2027).
Interested in the entire application stack — from user-facing frontend design to embedded edge intelligence. Focus areas include applied Machine Learning, generative AI workflows, and ESP32 hardware integrations.
Personal interest: PC hardware performance, system tuning, and memory latency optimization.
Full Stack Development
Building responsive interfaces in React & TypeScript backed by structured APIs.
Edge AI & Embedded Intelligence
Signal extraction & ML model inference running locally on microcontrollers.
Hardware & System Optimization
Passion for PC hardware architecture, system benchmarks, and performance tuning.
Projects
Explore each project as an interactive 3D environment — featuring real-time WebGL simulations, telemetry pipelines, and network topology.
AI-Augmented Edge Health Monitoring
AI-Augmented Edge Health Monitoring System
An AI-powered edge computing platform that continuously monitors patient vital signs — heart rate, SpO₂, body temperature, and respiratory rate. Machine learning models predict early cardiovascular and respiratory disease risks while edge processing minimizes latency and cloud bandwidth usage.
Skills
Experience
Networking & Cloud Intern
Hands-on exposure to enterprise networking infrastructure and cloud computing fundamentals using Cisco equipment and AWS cloud services.
- •Configured Cisco routers & switches for VLAN segmentation and IP routing
- •Deployed AWS EC2 instances, S3 storage buckets, and security group policies
- •Analyzed network traffic patterns & performed troubleshooting using diagnostic tools