An optical transmission engineer, with passion in Math, Physics and Programming. I've been working as a part-time Math/Physics tutor for over 3 years, giving explanations and helping students to understand various topics and procedure to solve all problems. The following is a list of my skills in multiple specialties. Math tutoring: A math tutor, working with multiple math tutoring sites to give detailed explanation and solutions for problems in: ✅ Algebra ✅ Calculus ✅ Trigonometry ✅ Geometry Web Development: A certified front-end web developer able to design websites using the following tools: ✅ HTML/HTML5 , CSS3 , JavaScript, ECMAScript (5 & 6) ✅ AJAX , jQuery , Bootstrap ✅ Nodejs, and Express. ✅ React , Vue Embedded Systems Design/Programming: Design/Programming embedded systems, starting from the hardware level, and employing required electrical/electronic components, to the Application layer (HAL) stage using various tools. ✅ C/C++ Programming. ✅ Rust Programming. Protocols: ✅ UART, SPI & I2C. ✅ LIN & CAN. MCUs: ✅ AVR, PIC, 8051 & ARM. Tools: ✅ Eclipse IDE , Atmel Studio (Microchip Studio), MPLAB X IDE ✅ Model-Sim Altera Quartz (VHDL)

Hi there! I'm Kevin! I'm a seasoned Electronics Engineer with 12 years experience in the industry. I have taken many product designs from inception, to prototypes, and through to mass production, and I can help you with what is important at each step. My electronic product design company is based in Bristol, UK, and has an office / lab full of the tools and test equipment needed for all stages of design, assembly, and testing. I like to do a task well and get it right the first time! I have experience in a wide range fields; - Circuit & Product design - PCB Schematic & Layout (I've used KiCAD for 3yrs and OrCAD for 5yr before that + others) - Firmware & Coding (in particular Zephyr RTOS and Nordic nRF Connect SDK) - Circuit simulation / LTspice - EMC & Safety compliance - Designing for Product Enclosures - Production Test design - 3D printing & CAD models - varied others (other mechanical tasks, matlab, VHDL, Labview, lots of software languages etc) I'm best suited to working closely with you on small/medium projects. If you need a design completing or someone with electronics knowledge to sound ideas off, please do get in touch and I'd be happy to talk through your job. Hourly rate is £80/hr + VAT, converted to approx USD. Cheers! Kevin Bibby - Optimised Product Design Ltd

Over 25 years in electronic product design. Demonstrated talent to conceptualize and deliver innovative products. Inventor on three issued patents and three pending. Key member of SAW touch screen controller ASIC design and verification team. Proven ability to design and develop products using embedded microprocessors, DSPs, and FPGAs (Altera & Xilinx). Competent with computer aided development tools such as schematic entry, PCB layout (Orcad, Altium, KiCad), 3D mechanical design (SolidWorks) and circuit simulation (LTSpice). Experienced in development of embedded firmware, PC application software, and production test software. Additional experience with contract manufacturing in USA & China (including travel to Hong Kong and Shenzhen). Wisdom dwells with prudence, and finds out knowledge of witty inventions. Proverbs 8:12 KJV

I am a certified AI and Machine Learning expert with a Ph.D. from Cornell University and have been awarded multiple technology patents for breakthrough work. I have over 7 years of experience in developing advanced machine-learning and AI applications, including but not limited to custom AI chatbots, computer vision and object detection applications, natural language processing, and generative AI projects. Skillset: ✅ Large-Language Models (LLMs): OpenAI GPT3.5/4, Meta Llama, AWS Bedrock, Google Bard, Anthropic Claude 1/2, Falcon, and other open source LLMs ✅ LLM Frameworks/Platforms: LangChain, Hugging Face, Cohere, Lamini ✅ Fine-tuning of LLMs, Retrieval-Augmented-Generation (RAG) using Embeddings and Vector Databases ✅ Deep learning: TensorFlow, Keras, PyTorch, RNNs, CNNs, Transformers, LSTMs, GRU, Amazon Sagemaker ✅ Machine Learning: XGBoost, LightGBM, Scikit-Learn, Weights & Biases, AutoML ✅ GPU and TPU assisted (distributed) training of custom deep-learning models and Hyper-parameter tuning, regularization, and optimization. ✅ AWS AI/ML services: Amazon Rekognition for images/videos, Amazon Textract for text/OCR extraction, Amazon Polly for text-to-speech, Amazon Personalize for personalising web applications. ✅ Text-to-image: Midjourney, DALL-E, Stable Diffusion ✅ Data visualization (Matplotlib, Seaborn, Plotly, Streamlit) ✅ Tabular, time-series, sequence, and image data ✅ Classification, regression, and prediction ✅ Programming Languages: Python, C/C++ ✅ Full-stack web development: front-end, API integrations, back-end, and cloud deployment. ✅ Cloud: AWS, Azure, GCP I have received multiple accreditations and certifications from AWS and deeplearning.ai. 📊 Select Projects: 1. Automated AI enabled content generation for a News Network from video content to text in multiple languages using whisper AI, OpenAI GPT3.5 LLM 2. Early diabetic retinopathy detection application using 3D OCT images for a healthcare startup using custom convolutional neural networks. 3. Custom AI chatbot for QnA on Court judgments and rulings. 4. AI bot for querying a large GraphQL database using natural language inputs using a fine-tuned GPT3.5 model, langchain GraphQL agents, and sequential chains. 5. A customer-support AI bot for an e-commerce company integrated with WhatsApp and Meta's Messenger API.

Edge AI | Vision | Smart Cities | Agile | Embedded Software | Firmware Architecture | Embedded Linux | Hardware Design | FPGA | Low Power Design | Lora-Wan | NB-IoT | LTE 🧔🏻 About Me : Throughout my 8-year professional journey, I've had the privilege of contributing to a variety of dynamic projects that have not only enhanced my skill set but also fueled my commitment to continuous learning and personal growth. In the domain of crafting intelligent devices integrated with Edge and Embedded AI, my primary focus is on ensuring the protection, monitoring, upliftment, and positive environmental impact on Planet Earth. I specialize in delivering tailored solutions: wireless, battery-powered IoT sensors enriched with Edge and Embedded AI capabilities, meticulously designed for expansive implementations in Smart Cities. Drawing from extensive industry expertise, I have successfully managed the deployment of IoT sensors at a significant scale, surpassing 50,000 devices across diverse field applications. My experience extends to the development of EN14015 - EN50271, FCC RED/CE certified products. 👨‍💻 Firmware Expertise : Languages: C, C++, Assembly , System Verilog , Verilog , VHDL Coding Standards: Misra - C RTOS: Zephyr, Free-RTOS, Nucleus, Bare-Metal, Event-Based Development: Driver Development, SDK Development Software Life Cycle: Abstractions, Application Design & Development, IEC 62304 Testing Practices: Test Driven Development (TDD), Unit Testing, Robot Framework Quality Assurance: PC-Lint Scripting: Python, Java, Node JS FPGA Programming: Xilinx Vivado 👨‍💻Experience with Embedded MCUs: ARM: Core M0, M1, M2, M3 Nordic: NRF51, NRF52, NRF53 , nRF9160 STMicroelectronics: STM32L0-4, STM32F0-4, STM32WL, STM32WB Microchip: PIC10F, PIC16F, PIC18F, PIC24, PIC32, ATMEGA, ATSAM, DSPIC30, DSPIC33 NXP: KL43, KL25, LPC Texas Instruments (TI): CC2650, CC1350, CC1310, Tiva-C Semtech: SX1276, SX1262, SX1261, SX1278, SX1301, SX1302 Espressif: ESP32, ESP8266 Raspberry Pi: RP2040 Arduino, Arduino MKR 🎯AI Skills : Tensor Flow Tensor Flow Lite Tiny ML 📻IoT Skills : Protocol Design , Encoder / Decoder HTTP , HTTPS , TCP , UDP , FTP , MQTT . GNSS , GPRMS , Real Time Tracking Battery Powered / Low Power Full Device Life Cycle AWS IOT Core , AWS EC2 Lora-Wan , NBIoT , LTE-M , LTE , Sigfox Secure OTAA , Over the Air Upgrade Remote Device Software Upgrade , Remote Diagnostics and Error Reporting , Fail safe and Self Recovery from Disaster Low Power Management AES Encryption , Secure Element Over the Air Upgrade , Bootloader Lorawan MAC , Lora , NBIoT , Sigfox , GFSK , BPSK, GSM, GPS , BLE , BLE Mesh , WiFi 🌐Communication : I2C , SPI , UART ,USART , CAN , RS485 , 1-Wire , IR , I2S , Parallel ☑️Lora-Wan : Lora-Wan Device Full Life Cycle Class-A , B , C Gateway Sx1301 / Sx1302 Development Network Servers : Actility / TTN / Dragino / Loriot / Senet / Helium / Wanesey / Kerlink / Orange Live Objects / ComCast / Semtech / Tecktelick / RAK Modules : RN2483 , RN2903 , IMST , MiroMico , STM32WL , ACSIP , RAK Wireless , MoKo Gateway Integration : MultiTech , Kerlink , RAK Wireless , Cisco , Tektelik , Loriot , IMST Rpi ☑️Embedded Single Board Computers : Toradex Colibri T30 ,Beagle Board , Raspberry Pi , Beagle Bone ,Jetson Nano ☑️Development Tools : Segger Embedded Studio , MCU Xpresso STMCube ,STMCubeMx, Keil ,Eclipse ,IAR WorkBench ,Sourcery Code Bench , Mikro-C , Arduino Energia ,Platform-Io, GNU Compilers MPLAB-X XC16, C30, XC8, C18 (GNU Compilers) CMake ,MinGW , Android Studio ,Netbeans Advance Rest Client , PostMan , Putty , Hercules Jlink , SWD , RTT ,STLink , P&E Micro , PicKit-3 Android Studio , NetBeans , Visual Studio 🤖Hardware : Altium , Ki-Cad , Proteus , Prototype , Assembly Using Reflow , Board Bring-up , Troubleshooting Design Reviews Soldering ( TQFP / PSON / PQFN / LGA / BGA , SOT , 0402 ) 🤖3D CAD: Solid Works , Solid CAM ,Device Case Design ⚙️Lab Equipment: CNC Router , CNC Mill , 3D-Printer ,Oscilloscope ,SMT Pick and Place ⚙️Version Control : GitHub , GitLab , Bit-Bucket ⚙️Project Management : Confluence , Jira , Trello , Slack .

You’re looking for a Computer Vision Engineer who can turn real-world challenges into reliable, production-ready solutions. With 10+ years of experience building systems for retail analytics, sports tracking, and edge deployment, I focus on solving the specific business problem behind the code — not just running models. Hi, I’m Jakub, and I’m here to help you bring your vision to life. 🔎 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 1. In-Depth Discovery I begin every project with a thorough conversation, asking lots of questions to clearly define your goals, constraints, and success criteria. This ensures I build exactly what you need to solve your unique problem effectively. 2. Modular Problem-Solving I break complex tasks into smaller pieces, then test multiple approaches to find the most effective solution. This strategy delivers reliable and efficient results you can trust. 3. Leveraging Advanced & Custom Methods My toolkit includes all major computer vision tasks: Classification, detection, tracking, and segmentation. I combine off-the-shelf models with custom-built methods to achieve top-notch performance. 4. Clear, Frequent Communication I keep you updated at every step, provide realistic timelines, and immediately address any hurdles. Even if you’re not technical, I’ll explain everything in plain language so you always know where your project stands. 5. Always Putting You First My clients consistently give me 5-star ratings and glowing feedback. If your requirements stretch beyond my skill set, I’ll be transparent and let you know right away. 🏆 𝗡𝗼𝘁𝗮𝗯𝗹𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 & 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀 • 𝙋𝙤𝙤𝙡-𝘽𝙞𝙡𝙡𝙞𝙖𝙧𝙙 𝘽𝙖𝙡𝙡 𝙏𝙧𝙖𝙘𝙠𝙞𝙣𝙜 (𝙔𝙤𝙪𝙏𝙪𝙗𝙚 𝘾𝙝𝙖𝙣𝙣𝙚𝙡 @𝙋𝙤𝙤𝙡-𝙞𝙨-𝘼𝙧𝙩) Created a tracking system that draws colored lines for each pool ball’s trajectory in real time. This involves ball detection, tracking, color recognition, smoothing, and anti-aliased rendering. One showcased video reached 18K views, demonstrating a blend of precision and style. • 𝙈𝙖𝙧𝙠𝙚𝙩 𝘼𝙣𝙖𝙡𝙮𝙨𝙞𝙨 & 𝘽𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙄𝙣𝙩𝙚𝙡𝙡𝙞𝙜𝙚𝙣𝙘𝙚 Built a commercial product that uses cameras in retail stores, coffee shops, and restaurants to gather foot traffic, demographic data, and in-store behavior analytics. Currently deployed in 10 locations, it offers powerful insights for more informed decision-making. • 𝙊𝙥𝙚𝙣-𝙎𝙤𝙪𝙧𝙘𝙚 𝙎𝙚𝙜𝙢𝙚𝙣𝙩𝙖𝙩𝙞𝙤𝙣 𝙏𝙤𝙤𝙡 (𝙐𝙨𝙞𝙣𝙜 𝙎𝘼𝙈 2.1) Combined Meta’s SAM 2.1 with Ultralytics to develop a user-friendly, privacy-focused segmentation tool. Users can apply positive or negative prompts without relying on expensive or riskier cloud services. • 𝙎𝙥𝙤𝙧𝙩𝙨 𝙑𝙞𝙙𝙚𝙤 𝘼𝙣𝙖𝙡𝙮𝙩𝙞𝙘𝙨 a) Soccer: Detected and tracked players to measure goals, ball possession, and movement heatmaps. b) Squash: Measured approximate movement speed by tracking players during training drills. Both applications rely on person detection and tracking, followed by sport-specific analytics. • 𝙇𝙞𝙘𝙚𝙣𝙨𝙚 𝙋𝙡𝙖𝙩𝙚 𝙍𝙚𝙘𝙤𝙜𝙣𝙞𝙩𝙞𝙤𝙣 𝙤𝙣 𝙍𝙖𝙨𝙥𝙗𝙚𝙧𝙧𝙮 𝙋𝙞 Achieved a stable 15 FPS OCR system in full HD on a Raspberry Pi 4B, illustrating how I optimize advanced models for edge devices. • 𝘼𝙒𝙎-𝘽𝙖𝙨𝙚𝙙 𝘾𝙤𝙢𝙥𝙪𝙩𝙚𝙧 𝙑𝙞𝙨𝙞𝙤𝙣 𝘿𝙚𝙥𝙡𝙤𝙮𝙢𝙚𝙣𝙩𝙨 Proficient with Lambda, EC2, and Rekognition to handle tasks like face matching and real-time action recognition at scale. • 𝘿𝙖𝙩𝙖 𝘼𝙣𝙣𝙤𝙩𝙖𝙩𝙞𝙤𝙣 & 𝘿𝙖𝙩𝙖𝙨𝙚𝙩 𝘾𝙧𝙚𝙖𝙩𝙞𝙤𝙣 Adept at using local (CVAT, Make Sense) and cloud-based (Roboflow, Ultralytics Hub) annotation tools. I’ve built large, high-quality datasets (some exceeding 300K labeled instances) to train robust custom models. 🤝 𝗟𝗲𝘁’𝘀 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲 Ready to bring cutting-edge computer vision to your business or project? • I’ll clarify your goals with detailed conversations. • I’ll design a modular, data-driven solution that meets your needs. • I’ll keep you informed every step of the way with straightforward updates. Send me a message or invite me to your job to explore your vision together. I look forward to bringing your ideas to life!