Recent Robotics & AI Engineering graduate building systems that span hardware, AI, and infrastructure — from six-legged robots to the pipelines that ship them.
I'm a recently graduated Robotics & AI Engineer based in Bangalore who likes building systems end-to-end — from embedded hardware and sensor fusion up through the AI models and infrastructure that support them.
My projects range from a six-legged hexapod robot with AI-assisted perception to an underwater exploration drone, a natural-language-to-SQL analytics platform, and containerized backend services with CI/CD pipelines. I've also worked hands-on with enterprise network design using VLANs and routing.
I'm currently looking for roles in robotics, AI/ML, DevOps, or networking — happy to talk about any of them.
A six-legged robot for rescue and hazardous-environment monitoring — remote inspection of gas-leak zones and collapsed structures without direct human exposure. Runs 18-servo tripod gait locomotion across uneven terrain, fuses 4 sensing modalities (IMU, ToF distance, gas, vision), and generates AI natural-language summaries over Wi-Fi for faster operator decisions.
An autonomous robot that follows predefined grid paths, detects intersections, stops at each node for 15 seconds, reverses, and moves on automatically. Achieved fully autonomous traversal of 12 grid locations with intersection detection and timed-stop logic — no manual control needed.
A RESTful backend for creating, viewing, updating, and deleting tasks — built with full CRUD functionality across 5 endpoints, containerized with Docker for consistent deployment, and structured for automated CI/CD with GitHub Actions and Jenkins, with Kubernetes orchestration in mind.
A remotely operated underwater vehicle for inspection and exploration in low-visibility environments, with Wi-Fi control, live video streaming, and ballast-based buoyancy. Reached 2.5 m/s forward speed, held 95% communication reliability within a 15 m range, and ran for roughly 90 minutes on a single charge during testing.
Designed a segmented enterprise network splitting HR, IT, and Sales into VLANs with secure Inter-VLAN routing via router-on-a-stick, plus DHCP for automatic IP assignment. Connected 3 isolated VLANs end-to-end, automated IP allocation for 6 client devices, and verified connectivity with ping, ARP, and Cisco show commands.
An AI analytics platform that lets users query databases in plain English instead of writing SQL, enabling self-service analytics for non-technical users. Cut manual SQL effort by ~90%, dropped dataset onboarding from 15+ minutes to under 2, and sped up report generation by ~70% via automated query generation and interactive visualizations.