Neetesh Shivhare

Architected AirOS, a software-only touchless HCI platform using OpenCV and Media Pipe for real-time hand gesture recognition with sub-100ms latency and zero additional hardware. Built and optimised computer vision pipelines (gesture classification, face mesh, eye tracking) achieving production-grade accuracy across varied lighting conditions. Developed AR/VR-adjacent interaction demos (gesture-controlled games) for hospitals, smart kiosks, and consumer electronics validation. Designed and deployed cloud infrastructure on AWS and GCP (VPC, EC2, S3, Lambda, CI/CD) for continuous delivery of CV microservices. Leading product roadmap: Virtual Employee Agents (LLM+ Vision), Screenless Holographic Display, and AirOS SDK for B2B licensing.

Shipped cross-platform iOS and Android app in React Native + Type Script to 10,000+ active users with zero critical post-launch failures. Engineered real-time GPS tracking, live data sync, and REST API backend using Node. js and Mongo DB. Designed city-level geospatial dashboards and automated Excel data-mapping pipelines for operational reporting. Built Python automation scripts cutting repetitive task overhead across the engineering team.

Managed enterprise cloud security and networking using AWS VPC, Route 53, IAM, and Security Groups for financial-sector clients. Built multi-cloud solutions across AWS, Azure, and GCP for hybrid infrastructure resilience. Automated infrastructure provisioning with Python and Bash, reducing provisioning time by 40%. Developed AWS Lambda (Python) functions to automate API-triggered data workflows, cutting scheduled task latency by 60%.