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Experience in: Speech to Text Conversion Text to Speech Synthesis Natural Language Processing (NLP) Computer Vision and Neural Networks CUDA, PyCuda I'm a Machine Learning Engineer passionate about innovation and eager to work in Japan's technology sector. With expertise in various areas such as speech processing and GPU computing, I am looking for opportunities to contribute my skills in the Japanese market. I would also appreciate assistance with the work visa process for potential relocation. Feel free to reach out for collaboration or inquiries.

I design, optimize, and integrate real-time object detection and tracking pipelines for NVIDIA Jetson, RK3588, and cloud environments — with measurable gains in FPS, latency, and deployment stability. From YOLO training to TensorRT optimization and production integration, I build Computer Vision systems that work reliably on real hardware. If you need more than just a trained model — if you need a working AI system integrated into hardware or software — I deliver complete, production-ready solutions. 🎯 WHAT I DELIVER • End-to-End Deep Learning Pipelines Model architecture → dataset optimization → training → evaluation → deployment • Real-Time Object Detection & Multi-Object Tracking Optimized YOLO pipelines with stable tracking (DeepSORT / ByteTrack / BOT-SORT) • ⚡ Edge AI Acceleration & Performance Optimization TensorRT conversion, CUDA acceleration, latency reduction, memory tuning, FPS improvements • 🔗 AI Integration into Production Systems Jetson deployment, inference APIs, embedded integration, debugging, monitoring & system optimization 🏆 PROVEN EXPERIENCE • 5★ Upwork reviews for NVIDIA Jetson Nano, AGX & Orin deployments • Deployed Frigate and real-time CV pipelines on Jetson Orin NX • Optimized inference performance using TensorRT for improved real-time execution • Installed and configured LLM environments with secure key management & usage tracking • Research & production AI deployment experience at HBrain 🛠 TECH STACK Deep Learning: PyTorch, CNN architectures, YOLO variants Computer Vision: OpenCV, real-time video processing, detection & tracking Optimization: TensorRT, CUDA Systems: Linux, Embedded Systems, NVIDIA Jetson Languages: Python, C++ If you share your hardware target, dataset sample, or performance goal, I can propose a clear technical architecture and realistic delivery plan.

I help startups and AI companies build high-performance AI systems, GPU-accelerated applications, and scalable AI infrastructure using CUDA, Rust, and Python. My expertise focuses on performance engineering, AI infrastructure, parallel computing, and low-latency systems designed for production-scale workloads. I work on optimizing compute-heavy applications, improving inference performance, and building reliable backend systems for modern AI products. I specialize in: • CUDA & GPU Optimization • AI Inference Optimization • Rust-based High Performance Systems • AI Infrastructure Engineering • Parallel Computing • Low-Latency Backend Systems • Python-based AI & Automation Systems • LLM Infrastructure • RAG Architecture & AI Search • Scalable API & System Architecture I can help with: ✅ GPU acceleration and CUDA optimization ✅ AI inference performance tuning ✅ Rust backend systems for high-performance workloads ✅ AI infrastructure and deployment pipelines ✅ Memory and compute optimization ✅ Parallel processing systems ✅ AI search and RAG pipelines ✅ Python automation and backend development ✅ Scalable distributed systems ✅ Production-ready AI architecture Tech Stack & Tools: CUDA, Rust, Python, PyTorch, TensorRT, ONNX, Docker, FastAPI, PostgreSQL, Vector Databases, REST APIs, WebSockets, AWS, Azure, and cloud-native architectures. I focus on building systems that are: * performant * scalable * efficient * reliable * production-ready If you are building GPU-intensive applications, AI infrastructure, inference systems, or performance-critical software, I’d be happy to discuss your project. Send me a message, and let’s discuss how we can make it happen!

Hello, I'm Tam 👋 - 7+ years of experience in Computer Vision, Deep Learning, and Generative AI. - Tech stack: Python, PyTorch, TensorFlow, OpenCV, FastAPI, Docker, CUDA, AWS, Modal, DeepStream, Javascript/TypeScript, NodeJS, NextJS, ReactJS, Electron, Tauri, PyQt - Built high-performance real-time object detection systems with NVIDIA DeepStream for edge and GPU deployment. - Developed OCR & document understanding pipelines for scanned documents, engineering drawings, and forms. - Built LLM/VLM-powered AI applications, including multimodal assistants, RAG systems, image analysis, and AI inference APIs. Let's turn your AI idea into a production-ready product.

Many computer vision models work in a notebook but fail in production. I build OCR, detection, and tracking systems that actually run in real environments so your team can automate workflows and extract real business value from visual data. I work with companies and startups who need robust AI pipelines for document automation, traffic monitoring, retail analytics, or custom visual AI applications. If you want a low-budget experiment with no clear success criteria, I’m probably not the best fit. 🔎 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 𝟭. 𝗜𝗻-𝗗𝗲𝗽𝘁𝗵 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 I begin each project by understanding your goals, constraints, and success metrics to ensure the solution meets your unique needs. 𝟮. 𝗠𝗼𝗱𝘂𝗹𝗮𝗿 𝗣𝗿𝗼𝗯𝗹𝗲𝗺-𝗦𝗼𝗹𝘃𝗶𝗻𝗴 I break complex tasks into smaller parts and test multiple approaches to find the most effective solution. This ensures reliable 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. 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 & 𝟯𝗗 𝗣𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻 For projects involving robotics, autonomous systems, or spatial analytics, I also build 3D perception pipelines using LiDAR, stereo cameras, and point clouds. This includes 3D object detection, Bird’s Eye View (BEV) transformations, and point cloud processing using deep learning. 𝗥𝗲𝗰𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝟭. 𝗠𝘂𝗹𝘁𝗶-𝗔𝗣𝗜 𝗢𝗖𝗥 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲: Combined Google Vision, OpenAI, and AWS Rekognition to increase document extraction accuracy across noisy images. 𝟮. 𝗦𝗰𝗮𝗻𝗻𝗲𝗱 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝘁𝗼 𝗘𝘅𝗰𝗲𝗹: Parsed key fields using Python + QwenVL and auto-generated Excel reports. 𝟯. 𝗟𝗶𝗰𝗲𝗻𝘀𝗲 𝗣𝗹𝗮𝘁𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻: End-to-end system with YOLOv8 trained on custom dataset and deployed for inference 𝟰. 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗟𝗶𝗗𝗔𝗥 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 & 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 Built a 3D detection and tracking pipeline using LiDAR and camera data with 3D bounding boxes, frame-to-frame association, and 2D/3D visualizations for autonomous navigation. 𝟱. 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗼𝗻 𝗣𝗼𝗶𝗻𝘁 𝗖𝗹𝗼𝘂𝗱𝘀 Trained PointNet and voxel-based 3D CNNs on ShapeNet Core for point cloud segmentation and classification, including full preprocessing and model visualization. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 I work with Python, PyTorch, TensorFlow, OpenCV, YOLO, Open3D, and modern vision APIs (Google, AWS, OpenAI) to build detection, tracking, and OCR systems. 𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝘆 "Yacine is reliable, very good at his job, and very informative. He was able to set up a POC, identify the main pitfalls, and propose solutions independently." "Yacine is committed to provide high quality work. He knows what he's doing. It's a pleasure to work together. I recommend him for data mining and vision work." "Yacine always does a great job on any computer vision related task, he delivered the project very quickly. I will definitely rehire him again whenever needed." 📬 Let’s Talk Send a message describing your computer vision problem and the data you’re working with. If it’s a good fit, we’ll discuss the next steps.

I build production-ready AI systems for businesses that want to automate workflows, integrate LLMs, and launch reliable AI features — not just demos. My core work includes RAG applications, AI agents, chatbots, workflow automation, FastAPI backends, Dockerized deployments, and cloud-based AI integrations using OpenAI, LangChain, Python, and vector databases. Most AI developers can connect an API. Very few can ship a system where the AI behaves reliably under real-world constraints. That's the gap I fill. 🎯 I help businesses integrate AI into their workflows and deliver practical solutions that solve real problems. 🚀 What I've Actually Shipped: ✅ A full agentic pipeline that extracted structured clinical trial data from unstructured medical PDFs and published HL7 FHIR resources via REST API — reducing manual extraction time by ~70% ✅ A Clinical Decision Support System for heart failure — processed unstructured doctor notes, extracted 10+ clinical parameters via NLP, and generated GPT-4-powered treatment recommendations with safety constraints ✅ A FastAPI-based quantitative research platform — modular backend handling market data ingestion, backtesting, optimization, and AI-assisted report generation for an international client ✅ A Cloud-Native LLM Inference System — OpenAI-compatible endpoint using vLLM and Modal GPU infrastructure, sub-200ms latency 🧠 Where I'm Genuinely Different: Healthcare AI is my sharpest edge. HL7 FHIR, AWS Comprehend Medical, clinical NLP — this stack is rare. If you're building anything touching medical data, patient workflows, or clinical AI, you won't find many engineers at any level who've shipped in this exact space. I also treat AI output with engineering discipline. I know when a model is hallucinating a field name. I know when structured output needs schema-controlled prompting to be safe. I build fallbacks, not faith. 🔒 ⚙️ Tech I Work With Daily: Python · FastAPI · Flask · Streamlit · OpenAI API · Google Gemini · AWS Comprehend Medical · HL7 FHIR · NLP · REST APIs · Docker · PostgreSQL · GitHub · Prompt Engineering · LLM Workflows 🤝 I Work Best With Clients Who: → Have a real problem, not just a vague AI curiosity → Want production-ready systems, not toy prototypes → Value clear communication and zero-surprise delivery 📩 Send me a message describing what you're building. If it's a fit, I'll tell you exactly how I'd approach it — before you commit to anything.