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Welcome to a behind the scenes look at how our team is building a connected engineering ecosystem across OpenQQuantify, Robotics Platforms, and The Medical Technology. This video is about the people doing the work, the platforms we are shipping, and the real engineering problems we are solving across robotics, digital twins, electronics, AI, and medical technology. Team featured in this discussion Founder and CEO, Team Lead: Paul George Savluc Engineers and Directors: Vasu Krishna, Mithilesh Gupta Pabba, Soumyadeep Das, I.K, Neha Medehal Reddy and more! If you want your name mentioned and have participated connect with Paul George Savluc What we are building OpenQQuantify is focused on accelerating electronics development and simulation with AI assisted workflows, structured engineering knowledge, and practical tooling that helps teams move from idea to validated design faster. If you have ever felt blocked by scattered tools, slow iteration cycles, or unclear component level decisions, this is the kind of problem we are targeting. Robotics Platforms is our open source effort to unify robotics development and digital twin simulation into a more inspectable, repeatable workflow. The point is to reduce fragmentation between CAD, simulation, physics, geography, sensors, and AI reasoning. Instead of building in silos, we are building a place where hardware and software can be designed, tested, and understood together. The Medical Technology is our medical engineering track where we focus on applying modern software and AI pipelines to clinical and research workflows. The goal is to turn data into real outcomes, with an emphasis on reliability, traceability, and building systems that clinicians and engineers can actually work with. We care about engineering that respects the real world constraints of healthcare, including safety, clarity, and auditability. Why this matters Engineering teams lose time and accuracy when the toolchain is fragmented. When simulation does not match reality, when design decisions are not traceable, when data pipelines are brittle, and when teams cannot collaborate across disciplines, innovation slows down. Our approach is platform driven: unify the workflow, make decisions inspectable, and create a community friendly environment where contributors can build real modules that compound over time. Topics covered in this video Digital twins for robotics and electronics AI assisted engineering workflows Embedded systems and sensor integration direction Simulation driven development and scenario testing Open source platform building and community contribution Medical technology pipelines and applied AI direction How a distributed engineering team ships real systems Who should watch Engineers building robotics, embedded devices, and electronics Developers working on simulation, AI, or toolchains Researchers exploring digital twins, sensors, or system modeling Builders interested in medical technology software and applied ML Students looking for real world engineering collaboration How to get involved We are always connecting with engineers, researchers, and builders who want to contribute to open source engineering platforms and real R and D. Subscribe to follow the build, and drop a comment with what you are working on: robotics, electronics design, simulation, embedded systems, medical imaging, health data, AI infrastructure, or anything adjacent. If your brain enjoys hard problems and clean systems, you are in the right place. Search keywords OpenQQuantify, Robotics Platforms, The Medical Technology, engineering team, robotics engineers, digital twin platform, simulation, AI for engineering, embedded systems, electronics simulation, medical technology, medtech AI, health data pipelines, open source robotics, systems engineering, robotics software, hardware design, sensor fusion, engineering workflow, R and D, platform engineering #OpenQQuantify #RoboticsPlatforms #TheMedicalTechnology #EngineeringTeam #Robotics #DigitalTwins #AI #EmbeddedSystems #Electronics #Simulation #OpenSource #MedTech #HealthTech #SystemsEngineering