Open to opportunities

Ashwin Menon

@ashwinmenon

Message

I’m a software engineer building AI-powered real-world systems in LLMs, vision, and full-stack.

India

Message

What I'm looking for

I’m looking for a team where I can ship production AI—LLMs/RAG, computer vision, and full-stack systems—while owning architecture, improving observability, and iterating fast from prototype to real deployments.

I build and deploy intelligent systems across civic, medical, and industrial domains, taking products from architecture to production. I’ve co-founded and led an AI-driven traffic management platform with real-world deployments alongside Kochi Police, contributing to up to a 30% reduction in junction congestion and enabling dynamic emergency vehicle prioritization.

My work spans LLM integration and RAG pipelines, low-latency computer vision, and full-stack engineering—shipping production-ready features with an emphasis on observability and iteration speed. From integrating Sentry and PostHog for faster issue resolution to delivering ~95% detection accuracy for real-time vehicle tracking, I focus on end-to-end outcomes, not just models.

Experience

Work history, roles, and key accomplishments

Current

Founding Software Engineer (Consultant)

Current

Zensus Inc.

May 2026 - Present (2 months)

Maintained and scaled the Zensus marketing platform and developed an AI-powered cash flow forecasting system combining live banking, accounting, and CRM data. Improved observability with Sentry and PostHog and accelerated development across Python and NestJS services using Cursor and Claude Code.

Python NestJS Cursor Claude Code Sentry PostHog SEO Cash Flow Forecasting scenario analysis Observability

Co-Founder & Lead Developer

UrbanVerve

Sep 2023 - Mar 2026 (2 years 6 months)

Co-founded and led an AI-driven traffic management platform that reduced junction congestion by up to 30% and enabled dynamic emergency vehicle prioritization validated with the Kochi Police Department. Engineered low-latency computer vision pipelines using OpenCV and CNNs for real-time vehicle tracking and directed the end-to-end product lifecycle to deployment.

Computer Vision OpenCV CNN AI Traffic Management Real Time Tracking Traffic Management Emergency Vehicle Prioritization System Architecture Deployment

Software Engineering Intern

Techno Project Japan Co.

Jan 2026 - Feb 2026 (1 month)

Architected a full-stack Hospital Inventory Management System for Matsue City Hospital to improve inventory visibility and reduce operational overhead. Built inventory tracking/workflow modules and implemented threshold-based low-stock notifications to reduce manual monitoring.

Full Stack Developer Inventory Management Monitoring Workflow Automation Notifications

Project Trainee

Bhabha Atomic Research Centre

May 2025 - Jul 2025 (2 months)

Developed a computer vision algorithm for automated drum cap detection and alignment with 98% spatial recognition accuracy in radioactive storage simulation environments. Simulated and validated robotic workflows in CoppeliaSim using ROS 2 and improved 3D alignment precision by combining line-scanner depth data with visual inputs.

Computer Vision CoppeliaSim ROS 3D Alignment Depth Data Validation

Software Developer Intern

KIREAP

Aug 2024 - Feb 2025 (6 months)

Programmed an autonomous drone landing system using real-time image processing to achieve precision landings within a 10cm targeting radius. Improved AprilTag detection reliability by 25% and deployed/validated control logic using ROS 2, ArduPilot, and Docker on Ubuntu to reduce deployment time.

Computer Vision AprilTag ROS ArduPilot Docker Ubuntu Autonomous Drone Landing Controls Logic