30-Day Edge AI MVP Sprint

@Mahihassi

As an experienced Electrical Engineer and Embedded Systems specialist, I offer a unique combination of skills that align precisely with your 30-day Edge AI MVP Sprint project. I am well-versed in C++ Programming, Computer Vision, and Robotics, all of which are crucial for developing the rugged, offline-first edge-computing stack you require. My proficiency in TensorRT, ONNX, OpenVINO, and other on-device inference frameworks tells you that not only can I optimize AI models for constrained hardware but also ensure they run seamlessly alongside your RF sensor data. Moreover, my expertise extends to encompassing key aspects of the project beyond the Edge AI skillset. My experiences with hardware and firmware development make me adept at handling intermittent connectivity issues and ensuring that the system recovers effectively after a power loss. Having been involved in projects where I've managed everything from concept to market-ready product, you can trust me to deliver clear documentation, reproducible build scripts, and provide a short walkthrough of the functional demo as you requested.

@phpxpert89

Hello , I checked your project, and it looks interesting. This is something we already work on, so the requirements are clear from the start. We mainly work on C++ Programming, Robotics, Docker, Continuous Integration, Rust, Video Processing, Kubernetes, Computer Vision We focus on making things simple, reliable, and actually useful in real life not overcomplicated stuff. Let’s connect in chat and see if we’re a good fit for this. Best Regards, Ali nawaz

@justinw45

Hello, Your 30-Day Edge AI MVP Sprint project requires a robust edge-computing stack that can handle live video streams and RF sensor feeds efficiently. I specialize in on-device inference with expertise in TensorRT, ONNX, and OpenVINO, making me well-equipped to tackle the AI model constraints. In a focused sprint, I would take charge of the real-time fusion of RF sensor data with video detections, ensuring seamless integration and quick response times. My previous projects involving Docker, Kubernetes, and Rust have delivered similar complex integrations successfully, guaranteeing a high-quality outcome for your sprint. Best regards, Justin

@OutsourceMan

⭐⭐⭐⭐⭐ Valuable Client, CnELIndia, led by Raman Ladhani, is well-positioned to deliver your 30-day edge-AI MVP. We propose owning the full edge stack: ingesting live video and RF feeds, running optimized on-device inference with TensorRT/ONNX, fusing multi-sensor detections, and presenting a responsive browser-based operational picture. Our approach begins with rapid hardware profiling to select models that fit constrained environments, followed by containerized deployment using Docker/K8s for reproducibility. Parallel CI/CD pipelines, daily GitHub issue tracking, and live code reviews ensure progress visibility. Raman’s expertise in robotics, real-time systems, and computer vision will guide model optimization, sensor fusion, and low-latency alerting. By week two, a functioning demo with <1 s track refresh, robust offline operation, and clear UI charts will be ready, culminating in concise documentation and a screen-capture walkthrough.

@burzhuy

Having been in the web development industry for over 20 years now, I've continually adapted my skills, sought new challenges and stayed up-to-date with emerging trends. While my core competency lies in C++ programming, your project’s demand for AI-based edge computing, real-time systems and robust hardware is something I’m more than familiar with. Moreover, what makes me a great fit for this project is my ability to work seamlessly with teams while managing individual responsibilities effectively. I understand that you need every aspect of this project to be functional on its own yet entirely integrated for a fluid user experience and increased productivity; something I thrive at. I see myself contributing significantly to your desired goal by leading the back-end charge. My proficiency with Go and Rust as well would ensure we could hit that performance target you speak of along with the firm GitHub issue tracking, rapid code reviews and streamlined CI/CD process that such complex projects necessitate. In conclusion, my adaptability, strong technical skills and ability to collaborate are key assets in making your 30-day sprint a success. Choosing me would ensure not only a deep understanding of your needs but also efficiency and leadership till the very end. I look forward to discussing further how we can make your vision come alive!

@vorasiddh4it

Hello, I work in Spatial Data Analysis since 2007. I deliver mission-grade Edge AI systems for rugged, offline-first environments. Hands-on with remote sensing, spatial analysis, real-time CV + RF fusion, and reproducible DevOps. I can show demo code (TensorRT/ONNX pipelines, multi-sensor fusion, offline recovery) before we lock scope—then we make the deal. How I’ll hit your 30-day MVP (owner: Edge AI + Fusion + Ops UI): 1️⃣ On-device inference: TensorRT/ONNX/OpenVINO, INT8 quant, model distillation 2️⃣ Live ingestion: IP/USB video + RF feeds (SDR), <1s fused tracks 3️⃣ Fusion & tracking: Kalman/JPDA, time-sync, track management 4️⃣ Offline-first: local queue, store-and-forward, crash-safe recovery 5️⃣ Spatial ops UI: React dashboards + map layers (GeoJSON/WebGL) 6️⃣ Reproducibility: Docker-compose/k8s, CI/CD (self-hosted), docs + demo video Tech Stack & Techniques: C++/Rust/Go back-end, TensorRT/ONNX, OpenVINO GStreamer, ZeroMQ/gRPC, CUDA accel SDR ingestion, RF/video fusion Spatial analytics (tiling, geofencing), edge caching Observability + power-loss recovery Relevant Projects: • Rugged Edge Vision + RF Fusion Platform • Offline-First CV Tracking for Field Ops • Low-Latency Sensor Fusion Dashboard Deliverables: ✔ Bootable edge stack, <1s refresh ✔ Docker/k8s build scripts ✔ CI/CD + concise docs ✔ Screen-capture walkthrough Share hardware + sensors. I’ll ship a pilot in week 1 with live video + fusion, then iterate daily to finish strong.

@Kashifscode

As a multi-skilled developer, your search for a candidate with expertise in every area that your MVP project demands stops here! For the front-end and user interface aspect, I have demonstrated my prowess with JavaScript frameworks including React.js, Angular, and Vue.js alongside my exceptional work with TypeScript. These skills, combined with my back-end proficiency in languages like Node.js, Python, Java and- above all- my extensive experience in implementing and managing complex CI/CD pipelines using Jenkins and Docker makes me more than capable of handling the slice of the stack you chose me for. With your emphasis on running an uninterrupted system that can withstand intermittent connectivity and power loss, my expertise in the resilience of containerized applications on Kubernetes will be instrumental. Combining all these experiences to create manageable architecture that delivers under pressure is exhilarating to say the least! Working diligently on reproducible build scripts, concise documentation, and even presenting a screen-capture walkthrough are hallmarks of my reliable work ethic. Choose me for this sprint and let’s succeed in meeting your requirement within thirty days!

@andriih17

Hi I would like to grab this opportunity and will work till you get 100% satisfied with our work. I am an expert developer which have many years of experience on C++ Programming, Robotics, Docker, Continuous Integration, Rust, Video Processing, Kubernetes, Computer Vision. Lets connect in chat so that We discuss further. Thanks, Andrii

@blazenicholas

I appreciate the opportunity to work on your edge-computing stack focused on seamless integration of live video and RF sensor data with a lightweight browser UI. Your emphasis on continuous live video ingestion and real-time fusion aligns well with delivering a professional, user-friendly operational picture that performs reliably under intermittent connectivity. I may be new to Freelancer, but I bring solid experience to the table in Edge AI, real-time systems, and building robust, well-structured applications with Go and React. I’m happy to offer a free call to discuss how I can help lead the backend development to ensure optimized on-device inference and maintainability. Regards, Blaze Nicholas

@softsolution2000

I am confident that my skills in C++ Programming, Robotics, Docker, Continuous Integration, and Rust are a great match for the "30-Day Edge AI MVP Sprint" project. I am eager to take ownership of the back-end stack and lead it to successful completion within the tight deadline. Once we discuss the full project scope, I am open to adjusting the budget to ensure we can work together effectively. Let's dive into the details and get started on this exciting project. Please review my profile for relevant experience. Your satisfaction is my priority, and I am ready to showcase my dedication to this project from the start.

@borisdeveloper71

Hello,there Thank you for posting your project, "30-Day Edge AI MVP Sprint." I've read the description carefully and am confident that I can successfully complete this project. I have over 7 years of experience in C++ Programming, Robotics, Docker, Continuous Integration, Rust, Video Processing, Kubernetes, Computer Vision. I have done some projects as smiliar as this one. I can share my previous project experience if you'd like. I enjoy learning new technologies and taking on challenges, even those that seem impossible. I'm very interested in this project and am confident that I can deliver the best results possible without stress. I look forward to working with you. Best regards, Boris

@panroman50

Hi , ⭐️⭐️⭐️I'll do my best.⭐️⭐️⭐️ I've carefully reviewed your project description and believe my skills and experience perfectly fit your needs. I have over 10 years of experience in the Job Skills field and am highly skilled at delivering high-quality results. This shows that my capabilities are a good fit for your project. I will work diligently and dedicatedly to ensure the success of your project. Please contact us via chat for a more detailed consultation. Best Regards Roman

@draganm59

Hello Employer, I am excited about the opportunity to contribute to your 30-Day Edge AI MVP Sprint. Your project presents a fascinating challenge that aligns perfectly with my expertise in edge computing and AI model deployment. With extensive experience in C++, Rust, and real-time systems, I am well-prepared to tackle the intricate demands of ingesting live video streams and RF sensor feeds for object detection and classification. I understand the critical importance of on-device inference and have significant experience optimizing models using TensorRT and OpenVINO for constrained hardware environments. My background in robotics and computer vision complements your project's need for robust edge AI solutions, ensuring seamless data fusion and real-time processing. To bring your vision to fruition, I propose focusing on the backend architecture, leveraging Docker and Kubernetes for containerization and orchestration. By implementing continuous integration and delivery pipelines, I will ensure smooth and rapid development cycles. Additionally, I will contribute to developing a lightweight, intuitive web UI using TypeScript and React, offering a clear operational picture with seamless user interaction. I am committed to delivering a resilient, offline-capable system that handles connectivity disruptions gracefully. My approach includes creating reproducible build scripts and comprehensive documentation, ensuring ease of deployment and maintenance. Collaborating through daily stand-ups and GitHub issues will keep our progress transparent and aligned with your goals. Looking forward to leading this project to success within the tight timeline, and I am eager to discuss how we can make this ambitious sprint a reality. Best regards, Dragan M.

@mugencodes

Hello, I'm Jayabrata Bhaduri, a seasoned C++ Programmer with over a decade of experience. I have a strong background in real-time systems and computer vision, making me well-suited for your 30-Day Edge AI MVP Sprint project. I understand the requirements for developing a rugged, offline-first edge-computing stack that integrates live video streams and RF sensor feeds, runs lightweight Edge AI models, and presents the data through a web UI. I am confident in my ability to tackle the challenges outlined in your project description. Let's discuss further details and how I can contribute to bringing this project to successful completion. Please feel free to connect with me in the chat for a more in-depth conversation. Regards, Jayabrata Bhaduri

@denysl0

Sure, no prob. I'm ready to dive into your 30-Day Edge AI MVP Sprint. With experience in on-device inference and robotics, I can handle the rugged, offline-first edge-computing stack you need. Want to discuss how I can own a specific slice of the stack and lead it to success within the tight timeline? Let's make it happen.

@Lazarone1

Hi Employer, Your project aligns perfectly with my expertise in edge AI, real-time computer vision, and robust system deployment on constrained hardware. I have led similar end-to-end MVPs for rugged robotics and surveillance systems, delivering live video ingestion, sensor fusion, and browser-based visualization with C++/Rust backends and React UIs. I’m eager to take ownership of the AI inference and sensor fusion pipeline—optimizing models for TensorRT/ONNX, ensuring sub-second track updates, and integrating resilient Docker-based workflows with CI/CD. Confident in my ability to deliver a working, reproducible demo that survives harsh edge conditions, I’ll drive daily progress, clear documentation, and rapid iteration to hit your ambitious goals. Regards, Lazar P.

@dorians2

Hi there, I have 7+ years of experience in Docker, Kubernetes, Continuous Integration and can deliver a clean, reliable solution for your project. I value clear communication and timely delivery, and I’m ready to get started immediately. Let’s connect and discuss your goals. Best regards, Dorian

@serhiih25

Thanks for the opportunity. Let’s turn this idea into a solid result. I can take ownership of the **Edge AI and real-time fusion layer**, deploying optimized on-device models with TensorRT/ONNX to detect and classify objects from live video streams and RF sensor inputs. I’ll ensure sub-second track fusion, robust handling of intermittent connectivity, and automatic recovery after power loss. Using lightweight Go or C++ back-end services and a TypeScript/React front-end, I’ll deliver a responsive operational picture, alerting, and dashboards. Build scripts, Docker-compose orchestration, and concise documentation will make the MVP reproducible and demo-ready, meeting your 30-day sprint goals with rapid iteration and daily GitHub-driven collaboration.

@dataspro

Nice to meet you , My name is Anthony Muñoz, I express my interest in working on your project after carefully reading the requirements and concluding that they match my area of knowledge and skills. I am currently the lead engineer for the IT agency DSPro and I have more than 10 years of experience in the field. I have successfully completed a large number of similar jobs and I consider your project to be a challenge in which I would like to work and be able to make it a reality. Please feel free to contact me, it will be my pleasure to help you. I greatly appreciate the time provided and I remain attentive to any questions or concerns. Greetings