AI Engineer | AI Agents, Automations & Production AI Systems Azure AI Developer I build production-ready AI systems, SaaS platforms, and automation solutions at a fraction of traditional development costs, without compromising on quality, security, or scalability. My approach combines AI-native development, modern engineering practices, and years of experience building real-world products across healthcare, legal, sports analytics, customer service, computer vision, and business automation. Whether you're launching a new product, building an AI-powered platform, automating operations, or transforming an existing prototype into a production-ready application, I help businesses move from idea to deployment faster and more cost-effectively. Here's what and how I can build for you: 𝗔𝗜 𝗡𝗮𝘁𝗶𝘃𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Full product development powered by Claude/Cursor and an AI-native workflow. Every build is faster, tighter, and more cost-efficient than traditional development, without any tradeoff on quality or scalability. 𝗦𝗽𝗲𝗰 𝗗𝗿𝗶𝘃𝗲𝗻 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Scope defined, documented, and agreed before development starts. No moving goal posts, no runaway timelines. You know exactly what you're getting and when. 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀, 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Custom AI agents, multi-agent systems, RAG platforms, enterprise knowledge bases, AI copilots, voice assistants, and workflow automation solutions powered by modern LLMs. Enterprise search, document intelligence, compliance-focused retrieval systems, citation-based knowledge assistants, and vector database architectures. 𝗣𝗢𝗖 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: 𝘂𝗽 𝘁𝗼 𝟴𝟬% 𝗰𝗼𝘀𝘁 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻 Need to validate an idea before committing to a full build? I scope and ship lean, functional proofs of concept that give you real signal without burning your runway. 𝗠𝗩𝗣 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: 𝘂𝗽 𝘁𝗼 𝟳𝟬% 𝗰𝗼𝘀𝘁 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻 Go from idea to a fully functional, market-ready product. Built to scale from day one, not patched together and hoping for the best. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗦𝗮𝗮𝗦 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 End-to-end web and mobile applications using React, Next.js, FastAPI, Python, PostgreSQL, cloud infrastructure, and modern deployment pipelines. 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Conversational AI systems, inbound and outbound calling agents, customer support automation, CRM integrations, and intelligent workflow orchestration. 𝗖𝗼𝗱𝗲 𝗖𝗹𝗲𝗮𝗻𝘂𝗽 𝗮𝗻𝗱 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗥𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀 Built your prototype in Lovable, Replit, AI Studio, or another AI tool and hit a wall? I take what you have, audit the codebase, clean it up, add proper authentication, security, and any missing features, and get it production-ready. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗥𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀 & 𝗖𝗼𝗱𝗲 𝗔𝘂𝗱𝗶𝘁𝘀 Already have a development team or an existing product? I can step in and do architecture reviews, performance optimization, security assessments, scalability planning, technical due diligence, and modernization of existing applications. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 Custom ML model integration into your product stack, recommendation systems, classification, predictive features, computer vision pipelines. Built to production standard, not a notebook demo What I build: • AI Agents and Multi-Agent Systems • Voice AI Applications (Retell, Vapi, Bland, LiveKit) • Business Process Automation (n8n, Make, Custom Workflows) • RAG and Knowledge-Based AI Systems • AI-Powered SaaS Features and Products • Document Processing, OCR and Data Extraction • Custom LLM Applications and AI Integrations • Backend APIs and AI Infrastructure • Real-Time AI Systems and Workflow Orchestration Tech Stack: Python, FastAPI, Node.js, TypeScript, React, OpenAI, Claude, Gemini, LangGraph, LangChain, Pinecone, Weaviate, PostgreSQL, MongoDB, AWS, Azure, Docker, n8n, Make, Twilio, Retell, Vapi, LiveKit Recent projects include: • Multi-agent coaching platform with orchestration, memory, and RAG • Voice AI systems for sales, scheduling, and customer support • AI-powered document processing and workflow automation platforms • Knowledge management systems using retrieval and vector search • Automated operational workflows integrating CRMs, communication tools, and business systems I enjoy building products and systems far more than consulting, coaching, or teaching. Most clients hire me when they need someone who can take ownership of implementation and deliver a working solution. If you're looking for an engineer who can design, build, and deploy AI systems that people actually use, let's connect.

I build machine learning and artificial intelligence systems for real environments and mvp's from computer vision and object detection to automation pipelines, AI agents, RAG systems, LLM fine-tuning, predictive modeling, and e2e, data driven applications. I’ve worked across: Real-time object detection, tracking, and counting Biometric verification systems and face recognition Anomaly detection in complex systems and time series analysis Surveillance AI and crowd analysis Modeling problems where standard approaches don’t hold I handle the full stack. Research, model development, deployment, Docker, REST APIs, cloud (AWS/GCP), edge AI, and scalable systems. What i want to accomplish is building something that actually solves your problem, If you have a challenging AI or ML problem, we can figure it out together.

I am a Computer Vision & AI Engineer with hands-on experience designing, training, optimizing, and deploying production-grade vision systems for real-world applications. I specialize in custom deep learning models, real-time detection, edge deployment, and scalable AI pipelines. I help startups and enterprises build end-to-end Computer Vision solutions from data collection and annotation to model deployment and monitoring. 🔬 Core Expertise Object Detection (YOLOv5, YOLOv8, Faster R-CNN, SSD) Image Classification & Multi-label Classification Instance & Semantic Segmentation (U-Net, Mask R-CNN) Object Tracking (DeepSORT, ByteTrack) Pose Estimation & Gait Analysis OCR & Document AI (Tesseract, EasyOCR) 2D + 3D Vision & Sensor Fusion Point Cloud Processing (Open3D, PCL) Medical Imaging & Healthcare AI Video Analytics & Surveillance AI Industrial Inspection & Quality Control Systems 🧠 AI & Deep Learning Stack Python, NumPy, Pandas PyTorch, TensorFlow, Keras OpenCV, Albumentations Scikit-learn ONNX, TensorRT, OpenVINO CUDA Optimization Hugging Face Transformers (Vision Transformers, Multimodal Models) ⚡ Edge AI & Deployment NVIDIA Jetson (Nano, Orin NX, AGX Xavier) Edge AI Optimization Model Quantization (INT8, FP16) Pruning & Knowledge Distillation ONNX Runtime Inference Docker, Docker Compose FastAPI & Flask APIs Microservices Architecture Kubernetes CI/CD Pipelines AWS & Google Cloud Deployment 📊 MLOps & Production AI MLflow Model Tracking Data Versioning Automated Training Pipelines REST API Integration Real-Time Inference Systems Cloud + Edge Hybrid Architectures 🎯 What I Deliver ✔ Custom Computer Vision Model Development ✔ Model Optimization for Real-Time Applications ✔ Edge Device Deployment ✔ Scalable AI Backend Systems ✔ Research-to-Production AI Systems ✔ Technical Documentation & Clean Code 💡 Industries Worked With Healthcare AI Autonomous Systems UAV / Drone Vision Smart Surveillance Industrial Automation Retail Analytics If you’re looking for a reliable AI engineer who understands both research and production deployment — let’s build your next Computer Vision system. 📩 Let’s discuss your project.

Hi, I'm Ubair an AI Engineer who builds production-ready AI systems that actually work in the real world, not just in demos. I specialize in two high-impact areas: Computer Vision and AI-Powered Automation. With a BS in Artificial Intelligence (FAST NUCES) and engineering roles at Siparadigm Diagnostic Informatics, Melior ITS, and Cowlar (YC W17), I've shipped vision systems that increased factory throughput 500%, RAG pipelines grounding answers across thousands of pages, and agentic chatbots that drive real revenue for paying clients. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 ✅ AI Agents & Agentic Workflows: Claude API, OpenAI GPT-4, Gemini, LangChain, LlamaIndex, ReAct agents, MCP servers, tool-calling LLMs ✅ RAG Pipelines: Document grounding, vector search (Pinecone, Chroma, Supabase pgvector), enterprise Q&A and knowledge bases ✅ Workflow Automation: n8n, Zapier, Make (Integromat), lead capture, CRM flows, content pipelines ✅ CRM & Business Tool Integration: GoHighLevel (GHL), HubSpot, Pipedrive, Stripe, Google Calendar, Google Sheets, Airtable ✅ Computer Vision: YOLO (Ultralytics), real-time CCTV analytics, object detection, tracking, segmentation, edge AI ✅ Generative AI: Stable Diffusion, ComfyUI, ControlNet, A1111, image and video generation pipelines ✅ Document AI & OCR: Layout extraction, table parsing, invoice/receipt/medical document intelligence ✅ Conversational & Voice AI: Chatbots, Telegram bots, WhatsApp Business API, Twilio voice agents 𝐂𝐨𝐦𝐦𝐨𝐧 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐈 𝐒𝐨𝐥𝐯𝐞 ✅ Manual lead and sales workflows eating your team's time → I build n8n + GoHighLevel + CRM automations that capture, qualify, and route leads on autopilot. ✅ AI chatbots that hallucinate or break in production → I build grounded RAG pipelines with citations, fallbacks, and human escalation built in. ✅ CCTV cameras you're not extracting value from → I deploy YOLO detection, queue analytics, and event-driven alerts in real time. ✅ PDFs and documents that take hours to extract from → I build OCR + LLM pipelines that turn unstructured docs into clean, structured data. ✅ AI prototypes that look great in demos but won't scale → I take MVPs to production with FastAPI, Docker, AWS, and proper monitoring. 𝐖𝐡𝐚𝐭 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐒𝐚𝐲 ★★★★★ "I've been working with Ubair for a couple of years now and honestly couldn't be happier. What keeps me coming back is how communicative he is you're never left wondering." → AI Chatbot + Stripe + Calendar ★★★★★ "Ubair did a great job and started working on our project immediately. He worked proactively, provided good recommendations, and was overall very professional." → AI Flow Developer for Lead Generation ★★★★★ "Ubair has consistently outperformed. He understands the project needs and finds solutions that add value. His attention to detail is exceptional." → Azure AI MVP, Treasury Data ★★★★★ "The experience exceeded our expectations. Proactive, communicative, and truly committed to delivering high-quality results." → Python & GenAI FastAPI Developer 𝐌𝐲 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 🧠 ML/DL: PyTorch, TensorFlow, Scikit-Learn, XGBoost, LightGBM 👁️ Computer Vision: OpenCV, YOLO, Ultralytics, Roboflow, Mediapipe, Supervision 🤖 LLMs & Agents: Claude, OpenAI GPT-4, Gemini, LangChain, LlamaIndex, HuggingFace, UnSloth 🎨 Generative AI: Stable Diffusion, ComfyUI, ControlNet, A1111 ⚙️ Automation: n8n, Zapier, Make (Integromat), GoHighLevel, Webhooks 🌐 Backend: Python, FastAPI, Flask, Django, Node.js 💻 Frontend: React, Next.js, Streamlit, Gradio ☁️ Cloud & DevOps: AWS (EC2, SageMaker, Lambda), GCP, Azure, Docker, Kubernetes, CI/CD 🗄️ Databases: PostgreSQL, Supabase, MongoDB, Neo4j, Pinecone, Chroma 🔌 Integrations: Stripe, Google Calendar, Twilio, WhatsApp Business, Telegram, Slack 𝐖𝐡𝐲 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞 ✅ Top Rated with 100% Job Success on Upwork ✅ Currently AI Engineer L5 at Siparadigm Diagnostic Informatics bringing enterprise-grade engineering to every project ✅ Clear communicator consistently rated 5/5 by clients ✅ Production-grade code with proper testing, deployment, and documentation ✅ Fast response time and flexible to your time zone 𝐋𝐞𝐭'𝐬 𝐆𝐞𝐭 𝐒𝐭𝐚𝐫𝐭𝐞𝐝 I offer a free 20-minute discovery call to scope your project and map out a clear path forward. Whether you decide to work with me or not, you'll walk away with a concrete plan and an honest assessment of what's actually possible. ✅ Hit the green Invite to Job or Send Message button and let's build something that moves your business forward. Talk soon.

I’m a Machine Learning Engineer and Data Scientist with 4+ 𝘆𝗲𝗮𝗿𝘀 of experience building production-ready AI systems that solve real-world problems in forecasting, automation, and decision intelligence. I specialize in turning complex data into actionable insights. I create solutions that are fast, scalable, and tailored to your needs. I have a proven record of delivering impactful AI solutions for leading organizations such as the United Nations Food & Agriculture Organization (UN-FAO), Asian Development Bank, British American Tobacco, and Green Climate Fund. My work blends robust data science with practical deployment to turn complex data into clear, actionable insight. 𝐊𝐞𝐲 𝐒𝐭𝐫𝐞𝐧𝐠𝐭𝐡𝐬 𝐚𝐧𝐝 𝐒𝐤𝐢𝐥𝐥𝐬 🧠 Deep Learning & ML – Model development, training, evaluation, and optimization 📊 Time Series Forecasting – Accurate prediction models using LSTM, Prophet, and traditional ML techniques 🖼 Computer Vision – Object detection, segmentation, and classification using UNET, YOLOv5, SAM 🚀 MLOps & Deployment – MLflow, Docker, Flask APIs, AWS SageMaker, and scalable pipelines 🌍 Geospatial Analytics – Satellite/drone data processing, GEE, QGIS (light emphasis) 🔁 Data Engineering – ETL pipelines, feature engineering, API integration 📈 Visualization & Reporting – Plotly, Matplotlib, interactive dashboards, automated PDF reports ☁️ Cloud Infrastructure – AWS (EC2/ECS, S3, Lambda), Docker, PostgreSQL/PostGIS 𝐍𝐨𝐭𝐚𝐛𝐥𝐞 C𝐥𝐢𝐞𝐧𝐭𝐬 𝐈 𝐡𝐚𝐯𝐞 W𝐨𝐫𝐤𝐞𝐝 W𝐢𝐭𝐡: • United Nations Food & Agriculture Organization (UN-FAO) • Asian Development Bank (ADB) • British American Tobacco (BAT) • WaterAid • Green Climate Fund 🌟 𝐖𝐡𝐚𝐭 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐒𝐚𝐲: You don’t have to take my word for it—here’s what past clients have said after working with me: 🗨 “𝘏𝘰𝘯𝘦𝘴𝘵𝘭𝘺, 𝘐 𝘥𝘪𝘥𝘯’𝘵 𝘦𝘹𝘱𝘦𝘤𝘵 𝘵𝘩𝘦 𝘳𝘦𝘴𝘶𝘭𝘵𝘴 𝘵𝘰 𝘣𝘦 𝘵𝘩𝘪𝘴 𝘢𝘤𝘤𝘶𝘳𝘢𝘵𝘦, 𝘦𝘴𝘱𝘦𝘤𝘪𝘢𝘭𝘭𝘺 𝘸𝘪𝘵𝘩 𝘵𝘩𝘦 𝘥𝘢𝘵𝘢 𝘸𝘦 𝘩𝘢𝘥. 𝘜𝘮𝘦𝘳 𝘮𝘢𝘥𝘦 𝘴𝘦𝘯𝘴𝘦 𝘰𝘧 𝘢 𝘷𝘦𝘳𝘺 𝘮𝘦𝘴𝘴𝘺 𝘥𝘢𝘵𝘢𝘴𝘦𝘵 𝘢𝘯𝘥 𝘨𝘢𝘷𝘦 𝘶𝘴 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 𝘵𝘩𝘢𝘵 𝘸𝘦 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 𝘶𝘴𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘧𝘪𝘦𝘭𝘥.” 🗨 “𝘚𝘶𝘱𝘦𝘳 𝘦𝘧𝘧𝘪𝘤𝘪𝘦𝘯𝘵 𝘢𝘯𝘥 𝘦𝘢𝘴𝘺 𝘵𝘰 𝘸𝘰𝘳𝘬 𝘸𝘪𝘵𝘩. 𝘏𝘦 𝘵𝘰𝘰𝘬 𝘵𝘩𝘦 𝘪𝘯𝘪𝘵𝘪𝘢𝘵𝘪𝘷𝘦 𝘵𝘰 𝘧𝘭𝘢𝘨 𝘱𝘰𝘵𝘦𝘯𝘵𝘪𝘢𝘭 𝘪𝘴𝘴𝘶𝘦𝘴 𝘦𝘢𝘳𝘭𝘺 𝘢𝘯𝘥 𝘱𝘳𝘰𝘱𝘰𝘴𝘦𝘥 𝘱𝘳𝘢𝘤𝘵𝘪𝘤𝘢𝘭 𝘧𝘪𝘹𝘦𝘴. 𝘛𝘩𝘢𝘵 𝘬𝘪𝘯𝘥 𝘰𝘧 𝘧𝘰𝘳𝘦𝘴𝘪𝘨𝘩𝘵 𝘪𝘴 𝘳𝘢𝘳𝘦.” 🗨 “𝘞𝘦 𝘸𝘦𝘳𝘦 𝘳𝘶𝘯𝘯𝘪𝘯𝘨 𝘰𝘯 𝘵𝘪𝘨𝘩𝘵 𝘥𝘦𝘢𝘥𝘭𝘪𝘯𝘦𝘴 𝘢𝘯𝘥 𝘯𝘦𝘦𝘥𝘦𝘥 𝘴𝘰𝘮𝘦𝘵𝘩𝘪𝘯𝘨 𝘱𝘳𝘰𝘥𝘶𝘤𝘵𝘪𝘰𝘯-𝘳𝘦𝘢𝘥𝘺, 𝘯𝘰𝘵 𝘢 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘱𝘳𝘰𝘵𝘰𝘵𝘺𝘱𝘦. 𝘜𝘮𝘦𝘳 𝘥𝘦𝘭𝘪𝘷𝘦𝘳𝘦𝘥 𝘦𝘹𝘢𝘤𝘵𝘭𝘺 𝘵𝘩𝘢𝘵.” 🗨 “𝘐𝘵’𝘴 𝘵𝘩𝘦 𝘴𝘮𝘢𝘭𝘭 𝘵𝘩𝘪𝘯𝘨𝘴—𝘭𝘪𝘬𝘦 𝘤𝘭𝘦𝘢𝘳 𝘥𝘰𝘤𝘶𝘮𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘩𝘢𝘯𝘥𝘪𝘯𝘨 𝘰𝘷𝘦𝘳 𝘢 𝘤𝘭𝘦𝘢𝘯 𝘈𝘗𝘐—𝘵𝘩𝘢𝘵 𝘮𝘢𝘥𝘦 𝘵𝘩𝘦 𝘥𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘤𝘦 𝘧𝘰𝘳 𝘶𝘴. 𝘕𝘰𝘵 𝘫𝘶𝘴𝘵 𝘴𝘮𝘢𝘳𝘵 𝘮𝘰𝘥𝘦𝘭𝘴, 𝘣𝘶𝘵 𝘶𝘴𝘢𝘣𝘭𝘦 𝘰𝘯𝘦𝘴.” Check out my portfolio for detailed case studies, dashboards, and end-to-end ML systems in action. If you’re ready to transform data into outcomes, let’s talk. I am available around the clock. I’d love to learn more about your project. Best Regards, Umer

My research has been accepted at CVPR'25 and ICCV'25 — the two most competitive computer vision conferences in the world. I now bring that same precision to client projects. I'm a Computer Vision PhD (Griffith University, Postdoc at University of Melbourne) with 7+ years turning hard visual problems into production systems. My work spans: Object Detection & Tracking — custom YOLO, DETR, and ByteTrack pipelines for real-time performance on edge and cloud Medical Image Analysis — MRI/CT segmentation, diagnostic AI, clinical-grade accuracy using PyTorch and MONAI Generative AI & ComfyUI — Stable Diffusion fine-tuning, ControlNet pipelines, custom ComfyUI node development 3D Vision — LiDAR point cloud processing, depth estimation, multi-view stereo, NeRF reconstruction Semantic Segmentation — autonomous vehicle, remote sensing, and industrial inspection systems Past clients describe me as: "a true expert with strong knowledge", "delivers excellent work, clear and professional", "highly recommended AI consultant". I work with scale-ups and product teams who need senior-level Computer Vision expertise — not just a model, but a system that performs. Available now. Let's discuss your project.

I am a computer engineer and AI-focused backend developer with more than a decade of experience in education, research, and real-world system building. Since 2013, I have worked as a professor at Universidad Técnica del Norte, where I have taught computer engineering and helped grow many highly capable engineers now working in industry. Alongside teaching, I have continuously expanded my expertise in challenging areas such as artificial intelligence, machine learning, and large-scale system design, building a strong and practical technical foundation. My work sits at the intersection of AI, backend engineering, automation, and data. I help teams take unclear ideas, raw data, or manual workflows and turn them into clean, reliable, production-ready systems that work day to day. On the AI side, I focus on practical LLM applications rather than demos. This includes RAG pipelines, multi-agent systems, chatbots with memory, document processing, semantic search, classification, extraction, and automation workflows. I have hands-on experience with LangChain, Hugging Face, OpenAI, Claude, and vector databases such as Pinecone and FAISS, including fine-tuning when it makes sense. My priority is always usefulness, reliability, and maintainability. Backend engineering is a core strength. I design and build APIs, services, and data pipelines using Python with FastAPI, Flask, and Django. I care deeply about clean architecture, performance, and systems that are easy to extend and maintain over the long term. I also have a strong background in automation and data engineering. I have built web scrapers, crawlers, ETL pipelines, data cleaning systems, reporting tools, dashboards, and bots for years. My focus is on stability and resilience, not fragile scripts that break after a short time. Deployment and infrastructure are part of my workflow, not an afterthought. I regularly deploy and operate systems on AWS, GCP, and Azure, using Docker, CI/CD pipelines, and serverless or containerized architectures depending on the project’s needs. I have worked with universities, companies, startups, and individual founders, often acting as a technical partner rather than just a task-based freelancer. I take time to understand the business goal first, then design a technical solution that fits it. I joined Upwork in 2016 out of interest and haveused the platform just to enjoy my creative hobby projects such as design and visual work, not for my major. But always, I couldn't spare time for it. Over the years, I closely followed the platform’s growth and always wanted to collaborate with global clients. I recently retired from my academic-related work and can now dedicate myself to professional freelance activities. What you can expect when working with me: - production-ready AI and backend systems - clear communication and realistic estimates - strong ownership and responsibility - solutions designed to scale and last If you are looking for someone who can combine AI, backend engineering, automation, and data into one solid, dependable system, I would be glad to work with you.

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 and deploy production-grade AI systems: from data pipelines to scalable LLM applications. With 7+ years in ML/AI, I specialize in LLM systems, RAG architectures, and MLOps, helping teams move from prototype to reliable, scalable AI in production. My focus is not just building models but ensuring they perform under real-world constraints: latency, cost, hallucination control, and continuous improvement. What I build -End-to-end ML pipelines: ingestion, training, deployment, monitoring -RAG systems with proper evaluation harnesses (retrieval quality, regression catching) -LLM observability: prompt versioning, tracing, feedback loops -Scalable inference (real-time and batch) with GPU optimization -CI/CD for ML with MLflow, Airflow, automated retraining -AI agents with guardrails and reliable tool use Selected results -Fraud detection pipeline (real-time inference) → ~$890K in losses prevented -Forecasting system using ensemble models → 31% accuracy lift over baseline -Multiple LLM products running in production under client SLAs -$3M+ in measurable business impact across deployments (happy to walk through specifics on a call) Stack -Languages/frameworks: Python, FastAPI -LLMs: OpenAI, Anthropic, HuggingFace, LangChain, LlamaIndex -Vector DBs: Pinecone, Weaviate, ChromaDB, FAISS -Infra: AWS, Docker, Supabase, MLflow, Airflow How I work -Replies in 0–4 hours on business days -Production-grade code with tests and docs, not throwaway notebooks -Clear scope, direct communication, focused on business outcomes -Revenue, automation, speed-to-market — that's the scoreboard Let's turn your AI idea into a working product. Send an invite with your project details and I'll get back to you with a clear plan.

Results-driven AI/ML Engineer and Back-End Developer with 3.5 years of experience building production-ready AI systems, automation platforms, and scalable backend solutions. I specialize in LLM-based systems, AI automation, computer vision, and real-time AI pipelines. My focus is on building reliable systems that solve real business problems - automating workflows, processing complex data, improving operational efficiency, and creating scalable AI-powered products. I have experience building AI assistants, multimodal AI systems, RAG-style workflows, voice AI pipelines, and computer vision solutions using OpenAI, LangChain, PyTorch, OpenCV, Whisper, and FastAPI. I’ve worked on projects involving AI analytics, document processing, conversational AI, video automation, and real-time AI avatar systems. Tech stack: AI/ML: LangChain, LangGraph, OpenAI, Anthropic, PyTorch, TensorFlow, OpenCV, Whisper, FasterWhisper, ElevenLabs, LiveKit Backend: Python, FastAPI, SQLAlchemy, Redis, Docker Databases & Cloud: PostgreSQL, MySQL, AWS If you’re looking for someone who can quickly turn complex requirements into stable AI-powered solutions, I’d be glad to discuss your project.