Building Workplace Safety Solutions Powered by Vision AI.VisionAI provides SaaS Solutions for Workplace Safety through Computer Vision. Our primary focus is on Manufacturing, Warehousing and Mining Companies. Our solution works with existing CCTV Cameras - and provides an easy-to-use, highly customizable EHS platform.Our solution includes:- PPE Compliance- Emergency Events (Smoke & Fire, Slip & Fall, Confined Spaces Monitoring)- Productivity Suite (Station & Desk Occupancy, Cycle Time)- Vehicle Controls (Near misses, Vehicle Pathway)- Area Controls (Max Workers, Min Workers, Restricted Areas).We are on a mission to reduce Safety Accidents at heavy industries. With our prior experience in Vertically Integrated Manufacturing & Computer Vision, we are poised to be the right team to solve this problem.- PPE Compliance (helmets, vests, boots, goggles, gloves etc).- Slip, Trip and Fall detection and alerting- Hazard Warnings (smoke-and-fire events, spills & leaks hazards).- Near misses (close encounters between forklift & people)- Occupancy Metrics (dwell time metrics, exclusion zones etc)- Ergonomics (bending, lifting, twisting stats).VisionAI includes event notifications with video clips (emails/texts/WhatsApp/MS Teams), and a summary dashboard for EHS team review and improvements.You can learn more here: https://bit.ly/what-is-visionai

We started ZipCushions during Covid times as an e-Commerce platform for made-to-order cushions, covers and furnishing accessories. This has evolved into a vertically integrated manufacturing operation employing over 40 people from multiple countries, while staying healthy and profitable.What sets us apart is not only our commitment to exceptional craftsmanship but also our dedication to social responsibility. At ZipCushions, we actively employ underprivileged individuals, fostering a diverse and inclusive work environment that empowers those facing challenges in the job market.Our technology-heavy approach ensures that every custom product is not just aesthetically pleasing but also integrates seamlessly with the modern lifestyle. From plush cushions to elegant throws, each item tells a unique story tailored to your preferences.

Building innovative solutions for IoT, Embedded, DevOps, Automation & Computer Vision. Every day is a new journey :-)- Deploying end-to-end solutions for customers (Computer Vision + IoT/Embedded + Data + Cloud). - Built Out-of-Stock Detection solution for Cooler Screens. This solution is deployed in ~1200 Walgreens stores throughout the US.- Built ToF camera based audience measurement solution.- Built edge device content management solution edgeplayer.ai. - Spatial AI: Worker productivity monitoring, worker health & safety, compliance.- Vision based compliance solution for humane animal slaughter process.- Virtual tailor application for Bold Metrics (Image to 50-point accurate body measurements).- Collision avoidance system using 3x Depth cameras for Construction industry (Cranes/excavators).- Manufacturing belt monitoring (anomaly detection, foreign body detection in food etc).- Pose->Gesture recognition for worker productivity monitoring.- IoT/Embedded Test Platforms in Python or C/C++

Worked in various teams within Qualcomm Modem Software Organization to commercialize and launch several 4G LTE Chipsets.- Awarded 12 QualStars and 1 Super-Qualstar- 12+ years of Software industry experience in various roles: embedded software development, Real-time Operating systems, large-scale C-based solutions, networking (Layer 3 & LTE Layer 1 Software), Automation & DevOps.- Results oriented technical lead with proven track record of delivering large scale projects on time.- Deep understanding of embedded operating systems: including mobile data networking, power management, kernel programming and LTE.- Recognized for using innovative test automation strategies to solve complex problems and providing cost savings through process improvements.- Expertise Areas: C/C++, Python, Embedded Software, Linux & Android.

- Worked on a research project for “Automatic classification of echocardiogram videos using Hidden Markov Models” (Master’s thesis)- Taught students “Introduction to Unix” and “C Programming Language” courses.- Account administration for students, upkeep of lab machines.

Developed a GPS based desktop application solution to monitor and track service vehicles in real time.

Worked on implementation of pattern classification projects:- Classification of remote sensing images using neural networks.- Health monitoring of buildings using neural networks.