🚀𝗔𝗜 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥 | 𝗟𝗟𝗠 𝗦𝗬𝗦𝗧𝗘𝗠𝗦, 𝗥𝗔𝗚 𝗣𝗜𝗣𝗘𝗟𝗜𝗡𝗘𝗦, 𝗔𝗜 𝗔𝗚𝗘𝗡𝗧𝗦🚀 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝘄𝗼𝗿𝗸 𝗶𝗻 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻. 𝗡𝗼𝘁 𝗱𝗲𝗺𝗼𝘀. 𝗡𝗼𝘁 𝗽𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲𝘀 𝗵𝗮𝗻𝗱𝗲𝗱 𝗼𝗳𝗳 𝗮𝘁 𝘁𝗵𝗲 𝗳𝗶𝗻𝗶𝘀𝗵 𝗹𝗶𝗻𝗲. 𝗔𝗰𝘁𝘂𝗮𝗹 𝗱𝗲𝗽𝗹𝗼𝘆𝗲𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗵𝗮𝗻𝗱𝗹𝗶𝗻𝗴 𝗿𝗲𝗮𝗹 𝘁𝗿𝗮𝗳𝗳𝗶𝗰, 𝗿𝗲𝗮𝗹 𝗱𝗮𝘁𝗮, 𝗮𝗻𝗱 𝗿𝗲𝗮𝗹 𝗰𝗼𝗻𝘀𝗲𝗾𝘂𝗲𝗻𝗰𝗲𝘀. Most of my work sits at the intersection of language models and enterprise data: RAG pipelines that retrieve the right information fast, agents that execute workflows without constant hand-holding, and chatbots that resolve queries instead of bouncing them back to a human. Before taking on independent contracts, I built AI systems in production environments across FinTech, Healthcare, SaaS, and Legal Tech. The numbers I reference below come from those deployments: ✔ RAG system handling 1M+ monthly queries with sub-100ms retrieval latency ✔ Chatbot resolving 70-82% of support requests without human escalation ✔ Hybrid vector retrieval improving document search accuracy by 50%+ ✔ Fraud detection model reaching 87%+ precision in live financial transactions ✔ Vector search deployed across 47M+ records at production scale 𝗠𝘆 𝗨𝗽𝘄𝗼𝗿𝗸 𝗵𝗶𝘀𝘁𝗼𝗿𝘆 𝗶𝘀 𝗻𝗲𝘄𝗲𝗿, 𝗯𝘂𝘁 𝘁𝗵𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗱𝗶𝘀𝗰𝗶𝗽𝗹𝗶𝗻𝗲 𝗯𝗲𝗵𝗶𝗻𝗱 𝘁𝗵𝗼𝘀𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 𝗶𝘀 𝘄𝗵𝗮𝘁 𝗜 𝗯𝗿𝗶𝗻𝗴 𝘁𝗼 𝗲𝘃𝗲𝗿𝘆 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗵𝗲𝗿𝗲. What I Build 🧠 𝗟𝗟𝗠 𝗮𝗻𝗱 𝗥𝗔𝗚 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Retrieval-Augmented Generation pipelines Knowledge assistants and enterprise search Vector databases and hybrid retrieval (dense + sparse) Fine-tuned models for domain-specific tasks Context management and prompt architecture 🤖 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗮𝗻𝗱 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Autonomous agents and multi-agent orchestration Workflow automation with tool-using LLMs LangGraph and CrewAI multi-step pipelines AI copilots and productivity assistants Background job agents with monitoring and fallback 💬 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗜 Multi-turn chatbots with persistent memory Customer support automation with escalation logic HR screening and recruitment AI Knowledge base assistants and FAQ resolution 🖥 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗔𝗜 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 AI SaaS platforms and dashboards Backend APIs for AI systems (FastAPI, Django) Cloud deployment, scaling, and monitoring Analytics and observability for AI workloads 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 LLMs: GPT-4 / GPT-4o, Claude 3.5, LLaMA 3, Mistral / Mixtral, Gemini AI Frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI Vector Databases: Pinecone, Weaviate, Qdrant, pgvector, ChromaDB Backend: Python, FastAPI, Django, Node.js, REST APIs, GraphQL Cloud: AWS, GCP, Azure, Docker, Kubernetes, Terraform Certifications: Recommenders and Reinforcement Learning (DeepLearning.AI / Stanford), Advanced Learning Algorithms (DeepLearning.AI / Stanford), Supervised Machine Learning (DeepLearning.AI / Stanford), Vector Search Certified Professional (Oracle), Generative AI Certified Professional (Oracle) Industries: Healthcare, FinTech, HR Tech, SaaS, Legal Tech, E-commerce 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 ✔ Production-grade systems, not experimental builds ✔ Architecture-first: scalability and reliability are decisions made at the start, not the end ✔ I ask the questions that prevent expensive redesigns three months in ✔ Clean code, documented deployments, and clear handoffs ✔ I've seen what breaks at scale. I build around it from day one. If you're building an AI product, LLM platform, or intelligent automation system and need someone who's shipped this stuff in production before, let's talk through your requirements.

𝐒𝐞𝐧𝐢𝐨𝐫 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐀𝐈 𝐒𝐚𝐚𝐒 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 | 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 | 𝐀𝐈 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐄𝐱𝐩𝐞𝐫𝐭 (𝐧𝟖𝐧, 𝐌𝐚𝐤𝐞 𝐜𝐨𝐦, 𝐙𝐚𝐩𝐢𝐞𝐫, 𝐆𝐇𝐋) I design and build production-grade AI systems, SaaS platforms, and automation solutions that help businesses scale, reduce manual work, and launch real AI-powered products not prototypes or demos. If you're building an AI SaaS product, LLM application, AI automation system, or AI voice agent, you don’t need another API integrator you need a system architect who can design for reliability, scale, and real-world usage. I am a Senior AI/ML Engineer and Full Stack Python Developer with 14+ years of experience building AI products, SaaS platforms, LLM systems, RAG pipelines, and automation infrastructures in production environments. 𝐌𝐲 𝐟𝐨𝐜𝐮𝐬 𝐢𝐬 𝐬𝐢𝐦𝐩𝐥𝐞: 𝐓𝐮𝐫𝐧 𝐢𝐝𝐞𝐚𝐬 𝐢𝐧𝐭𝐨 𝐟𝐮𝐥𝐥𝐲 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐬𝐜𝐚𝐥𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐫𝐞𝐚𝐥 𝐰𝐨𝐫𝐥𝐝. 🚀 What I Build:- a) AI SaaS & Full Stack Web Applications: I design and build complete AI-powered SaaS platforms and web applications from the ground up. This includes everything from intuitive user interfaces to scalable backend systems, APIs, databases, and deployment architecture. I work with modern technologies like React, Next.js, TypeScript, Node.js, Python, FastAPI, Django, and the MERN stack to deliver solutions that are secure, scalable, and ready for real users. Whether you're building an AI SaaS product, CRM platform, marketplace, internal business tool, or startup MVP, I help you turn your idea into a fully functional product that can scale with your business. b) AI Agents & RAG Systems: I build intelligent AI systems that don’t just respond to prompts—they can reason, plan, and execute tasks. These systems are designed to handle real workflows end-to-end, not just generate text responses. Using frameworks like LangChain, AutoGen, CrewAI, and LlamaIndex, I develop: autonomous AI agents multi-step reasoning systems retrieval-augmented generation (RAG) pipelines with memory tool-using AI systems MCP (Model Context Protocol) integrations c) LLM Integration & AI Engineering: I integrate advanced language models such as OpenAI GPT-4o, Claude, and Gemini into real-world applications and business systems. The goal is simple: AI systems that work consistently and reliably in production. My focus is on building AI features that are reliable, production-ready, and optimized for scale, including: real-time streaming responses for smooth user experience proper rate limit and error handling fallback and recovery mechanisms evaluation and testing pipelines scalable deployment architecture d) AI Automation (n8n / Make / Zapier / GHL): I build end-to-end automation systems that help businesses eliminate manual work and streamline operations. Using tools like n8n, Make com, Zapier, and GoHighLevel, I automate: sales and lead management workflows CRM and customer journey automation internal business processes marketing and outreach systems AI-powered decision workflows e) No-Code to Scalable Code Migration: If your product was built on platforms like Bubble, Webflow, FlutterFlow, Replit, or Base44 and has started hitting limitations, I help you migrate it into a scalable, production-grade system. I rebuild your application using modern frameworks like Next.js and robust backend architectures while preserving your existing functionality. At the same time, I upgrade your system for: better performance stronger security long-term scalability clean maintainable architecture Why clients pick me: Most developers integrate an API and call it done. I architect the full system proper error handling, rate limit management, monitoring so it still works when 500 real users hit it, not just in the demo. **Tech Stack** Frontend: React · Next.js · TypeScript · Tailwind CSS · Redux Backend: Node.js · Express · Python · FastAPI · Django · Laravel · GraphQL · REST APIs Database: MongoDB · PostgreSQL · MySQL · Redis · Prisma · Supabase · Firebase AI: OpenAI GPT-4o · Claude API · Gemini · LangChain · AutoGen · CrewAI · LlamaIndex · Pinecone · Weaviate · Hugging Face · Ollama · Claude Code · Vertex AI Automation: n8n · Make com · Zapier · MCP · Webhooks DevOps: AWS · Vercel · Docker · GitHub Actions · CI/CD · Linux VPS **Industries: Fintech · Health tech · B2B SaaS · Marketplace · E-commerce · On-demand · EdTech · Logistics · Legal tech · HR tech · Real estate tech · Travel tech · CRM platforms · Internal tools Got an existing app that needs fixing, scaling, or AI added? I handle that too. If you're looking for an AI Engineer, AI SaaS Architect, or Full Stack Python Developer, I can help you design and build a production-ready AI system that actually scales in the real world. 📩 Message me first tell me what you're building and what's blocking you.

I help you leverage AI to solve your business challenges and achieve measurable results. With 5+ years of experience in NLP, Generative AI, Computer Vision, NLU, NLG and large language models, I create AI solutions that are scalable, efficient and tailored to your needs. I have a strong grip on AI models and voice AI technologies and know how to apply them effectively to deliver real value for your business. 𝗪𝗵𝗮𝘁 𝗜 𝗖𝗮𝗻 𝗗𝗼 𝗳𝗼𝗿 𝗬𝗼𝘂: - 𝗔𝗜 & 𝗡𝗟𝗣 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: Build chatbots, perform sentiment analysis and predictive analytics to improve customer engagement - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜: Generate content, create text-to-image models and automate workflows to save time and costs - 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: Implement image recognition, object detection and video analytics to enhance your operations - 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜: Speech-to-Text (STT), Text-to-Speech (TTS), Text-to-Text (TTT), voice assistants and conversational AI - 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗔𝗜: Predictive analytics, diagnostic assistance, patient monitoring and personalized treatment solutions - 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 & 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Connect secure APIs, cloud solutions and real-time data processing to streamline your systems - 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Improve performance, reduce costs and scale AI solutions efficiently I’ve helped clients like ScanPlan B.V., BimBuildings, Wellness Tech, Know-Me and OpenHome, engaging 65,000+ users on OpenHome and delivering projects that enhance user experiences, increase efficiency and reduce operational costs. My expertise spans 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗣𝘆𝗧𝗼𝗿𝗰𝗵, 𝗧𝗲𝗻𝘀𝗼𝗿𝗙𝗹𝗼𝘄, 𝗙𝗮𝘀𝘁𝗔𝗣𝗜, 𝗗𝗷𝗮𝗻𝗴𝗼, 𝗡𝗼𝗱𝗲, 𝗥𝗲𝗮𝗰𝘁, 𝗔𝗪𝗦, 𝗔𝘇𝘂𝗿𝗲 𝗮𝗻𝗱 𝗖𝗜/𝗖𝗗 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀. If you want AI and Voice AI solutions, including Healthcare AI, that solve your toughest problems and grow your business, I’m ready to help you turn your ideas into reality.

Senior Computer Vision Engineer specializing in production-ready AI systems. Over the past 5+ years, I have designed, trained, optimized, and deployed computer vision solutions across medical imaging, biotechnology, agriculture, remote sensing, and industrial applications. ✦ Core Specializations ─────────────────────────────────────────── ⚡ Object Detection & Real-Time Inference Custom detection pipelines built on YOLO, RT-DETR, RF-DETR & Detectron2. Single-modal and multi-modal. Optimized for speed, accuracy, and edge deployment — not just benchmark scores. ⚡ Medical & Biotech Image Analysis Classification, segmentation & prediction systems for clinical and research environments. Calibrated outputs, ordinal grading, custom loss functions designed for domain-specific constraints where off-the-shelf fails. ⚡ Multispectral & Aerial Computer Vision RGB, NIR, thermal — cross-modal fusion architectures for remote sensing, livestock monitoring & precision agriculture. Full pipeline ownership from raw sensor calibration to production-ready detection. ⚡ Video Intelligence & Motion Analysis Action recognition, temporal modeling & tracking from video. Real-time inference pipelines containerized and deployed on cloud GPU infrastructure. ✦ Technical Stack ─────────────────────────────────────────── Computer Vision: PyTorch · OpenCV · YOLO · RT-DETR · RF-DETR · Detectron2 · DINOv2 · Vision Transformers · SAM Image Processing: Camera Calibration · ChArUco · ArUco · Chessboard Calibration · Fisheye Calibration · Stereo Calibration · Image Undistortion · Image Rectification · Geometric Vision Machine Learning: Deep Learning · Classification · Segmentation · Tracking · Action Recognition · Pose Estimation · Multi-Modal Learning Deployment & MLOps: FastAPI · Docker · AWS · GCP · ONNX · TensorRT · CI/CD ✦ What to Expect ─────────────────────────────────────────── Requirements Discovery → Solution Design → Structured Milestones → Weekly Demos & Progress Updates → Production-Grade Delivery → Post-Deployment Support → Send a message with project details to get started.

I am an Artificial Intelligence undergraduate with hands-on experience in GPT integrations, FastAPI backends, and Python automation. I am at an early stage of my career, but I bring something many experienced developers don't — full focus, fresh knowledge, and the drive to over-deliver on every single project. 🔧 What I Can Build: 🤖 GPT & AI Integration — OpenAI API, custom chatbots, LangChain pipelines 🔌 API Development — FastAPI backends, clean documented endpoints ⚙️ Python Automation — Bots, scrapers, workflow scripts 📊 Data & ML Support — Pandas, Scikit-learn, data pipelines 💻 Stack: Python · FastAPI · OpenAI API · LangChain · Pandas · Scikit-learn · Git · PostgreSQL You get affordable rates, honest communication, and a developer who treats your project like it's their own. Send me an invite — let's build something

✅ Custom LLM and AI agents solutions using LangChain, LangGraph, Redis or n8n ✅ Back-end Development expertise with Python, Node.js, C++, C#, Java and Rust ✅ Data Science and Machine Learning expertise including Deep Learning, Natural Language Processing and Computer Vision using TensorFlow, PyTorch, Keras, scikit-learn, Numba, etc. ✅ Data Engineering, Big Data and ETL using Spark, Snowflake, Hadoop, SQL (PostgreSQL, MySQL) and no-SQL (Hive, MongoDB, DynamoDB) ✅ Front-End Development with JavaScript and TypeScript including the following frameworks: Angular2+, Bootstrap/MaterialUI, React.js, Vue.js, Next.js, Gatsby, Nuxt.js ✅ API Development and Integration, including external API integration like OpenAI API ✅ Cloud Technologies expertise with AWS and GCP ✅ Scraping, Scripting and Automation including Web Scraping and Automation with Scrapy and Selenium ✅ Data Visualization using modern frameworks: Chart.js, D3.js, Leaflet, Highcharts, Plotly, Seaborn ✅ Code Optimization and Speed-up including Legacy Code Refactoring Extensive experience in Software Development using Python, Node.js, C++, C#, Java, Rust and their frameworks. During last several years, I participated on the huge amount of projects requiring Software Engineering skills including the projects on Large Language Models, Natural Language Processing, Computer Vision, Deep Learning, Data Science, Data Visualization, Date Engineering, Scraping, Automation, Front-End and Back-End Development. While working on these project, I was methodically identifying the problem that my clients had and was developing complex and efficient solutions to completely satisfy my clients needs. 💥WHY CHOOSE ME BETWEEN OTHER FREELANCERS?💥 ✅ Customer Orientation: while working on a project, my goal is to add VALUE to my clients. It is extremely important to me to see that my clients business develops and grows up thanks to the value that I provide. ✅ Clients Review: getting clients feedback is significant to me. As you could see from my profile, all of my clients, that I worked with so far, are completely satisfied by the job that I do. That is why I have only 5 star scores in my profile and the job success rate of 100%. ✅ Reliability: when you work with me, you can be sure that I will do what I say I will, when I say I will. I focus on earning the TRUST of my clients that I can RESOLVE any of their issue, and that I will do it well. ✅ Responsiveness: being extremely responsive person, I keep all the ways of communication ready for my clients. I answer to the most of their requests within a day (refer to the dedicated section in my profile for details). ✅ Open-Mindedness: being an experienced software developer, I pride myself in my ability to discover and use the new frameworks and technologies that I haven't worked with never before, when my client's issue requires it. ✅ Kindness: treating everyone with respect, understanding all circumstances, my main goal is to IMPROVE my clients situation. The client feedback below which you could also find in the review section in my profile and numerous other like that, describes the quality of work and value that you can expect of working with me: "Extremely skilled developer, good communication skills (keeps you informed about the progress). Comes up with ideas to solve problems. Nice working with Ivan (5 star rating for everything). I would definitely hire Ivan again in the future."

𝗜 𝗱𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝗱𝗲𝗽𝗹𝗼𝘆 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗰𝗿𝗲𝗮𝘁𝗲 𝗺𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝗺𝗽𝗮𝗰𝘁. I’m Claire L., a Senior Machine Learning Engineer specializing in Generative AI, LLM-based systems, Deep Learning, Computer Vision (YOLO), Predictive Analytics, and production-grade MLOps deployment. I hold a MSc degree in Computer Science and AI with 8+ years of experience helping startups, fintech platforms, healthcare teams, and growing enterprises move from AI idea to production deployment, reliably and at scale. I don’t build experiments. I build systems that integrate cleanly, perform consistently, and deliver long-term value. 𝗪𝗵𝗮𝘁 𝗜 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗲 𝗜𝗻 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴, 𝗟𝗟𝗠 & 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 • Retrieval-Augmented Generation (RAG) • AI copilots & intelligent assistants • Knowledge-base integrated chatbots • Structured data grounding & vector search • Evaluation, guardrails & performance optimization 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 & 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 • Demand forecasting & time-series modeling • Fraud detection & risk scoring • Customer churn & behavioral prediction • Feature engineering & model optimization 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 & 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 • YOLO-based object detection (YOLOv5 / YOLOv8) • Image classification & video intelligence • Custom dataset training & small-object detection • Edge optimization & quantization-aware deployment 𝗠𝗟𝗢𝗽𝘀 & 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 • End-to-end ML pipelines • Model monitoring & drift detection • CI/CD for machine learning • Scalable cloud deployment (AWS, Azure, GCP) • API integration & system architecture design 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗜𝗺𝗽𝗮𝗰𝘁 • Reduced operational waste by 25% through advanced forecasting systems • Improved fraud detection precision for fintech platforms • Built enterprise-grade AI assistants integrated with structured knowledge bases • Deployed real-time object detection systems in production environments • Designed scalable ML infrastructure supporting long-term model reliability 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝘁𝗮𝗰𝗸 • Python | TensorFlow | PyTorch | Scikit-learn • Cloud Platforms: AWS, Azure, Google Cloud • MLOps: Docker, Kubernetes, MLflow • NLP, Computer Vision, Generative AI & Predictive Modeling • N8N, Zapier, Airtable Automations, Make (Integromat), Notion Automations, Retool 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 Every engagement begins with defining measurable KPIs and a clear architecture plan. From there, I design the right combination of data pipelines, models, and infrastructure to ensure the solution performs reliably in production, not just in development. I work best with teams building serious products who need AI engineered properly from day one: secure, scalable, and maintainable. 𝗜𝗳 𝘆𝗼𝘂'𝗿𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗮𝗺𝗯𝗶𝘁𝗶𝗼𝘂𝘀 𝗮𝗻𝗱 𝗻𝗲𝗲𝗱 𝘀𝗲𝗻𝗶𝗼𝗿-𝗹𝗲𝘃𝗲𝗹 𝗔𝗜 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻, 𝗜’𝗱 𝗯𝗲 𝗴𝗹𝗮𝗱 𝘁𝗼 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝘆𝗼𝘂𝗿 𝗴𝗼𝗮𝗹𝘀.

I architect and deploy production-grade AI systems — from LLM inference infrastructure to multi-agent workflows and RAG pipelines. My work spans the full stack: GPU cluster management, model deployment, agentic system design, and enterprise integration. 💡 Notable Projects mdgpt — Sovereign AI Platform (Mijndomein) Designed and deployed a sovereign LLM inference platform for a Dutch enterprise with 1.4M+ active subscriptions. Multi-provider gateway (vLLM, Anthropic, Gemini), 4×A100 GPU cluster, Kubernetes orchestration, and 130+ production agentic tools across engineering and office teams. Stack: FastAPI, async Python, Redis, Phoenix/OTel, Prometheus, OpenWebUI. Savion Clinic & Patient (LMXAI) Built a two-sided clinical AI platform from scratch — a patient nutrition coaching app and a clinic assistant automating 100% of nutritionist workflows. LangGraph-orchestrated multi-agent architecture, RAG pipelines for clinical knowledge retrieval, MCP tool integration, Django + MongoDB + Redis. LMXAI Benchmark (Context Engineering) Achieved top-5 global ranking in LLM education benchmarks, raising accuracy from 68% → 85% through advanced context engineering, prompt optimization, and agentic reasoning within a custom evaluation framework. 🎯 How I Work I build systems that are modular, observable, and production-ready — not prototypes. Focus is always on reliability, latency, and measurable business impact. 🧰 Core Stack LangGraph · LangChain · FastAPI · Python (async) · RAG · vLLM · SGLang · LoRA/QLoRA · Redis · Elasticsearch · PostgreSQL · MongoDB · Docker · Kubernetes · OpenAI / Claude / Open-Source Models · MCP · Context Engineering · GPU Inference · AWQ/FP8 Quantization

As an 𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 (Top 1% on Upwork) with a Master’s in AI from the University of Bath, I provide more than just code. I provide architectural certainty. I design and build resilient, autonomous AI systems that solve high-value business problems for enterprise clients like 𝐍𝐞𝐬𝐭𝐥é, 𝐏𝐟𝐢𝐳𝐞𝐫, 𝐚𝐧𝐝 𝐕𝐢𝐬𝐚. 𝐌𝐲 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: 𝐌𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 Most developers specialize in either text (LLMs) or images (Computer Vision). I bridge this gap. I design Multimodal Agents that can "see" the real world through advanced Computer Vision and "act" upon it using autonomous reasoning. This enables complex workflows such as: - 𝑨𝒖𝒕𝒐𝒎𝒂𝒕𝒆𝒅 𝑽𝒊𝒔𝒖𝒂𝒍 𝑰𝒏𝒔𝒑𝒆𝒄𝒕𝒊𝒐𝒏: Agents that detect manufacturing defects and autonomously manage supply chain responses. - 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒕 𝑺𝒆𝒄𝒖𝒓𝒊𝒕𝒚 𝑴𝒐𝒏𝒊𝒕𝒐𝒓𝒊𝒏𝒈: Systems that interpret video feeds in real-time to alert security teams to specific behavioral anomalies. - 𝑽𝒊𝒔𝒖𝒂𝒍 𝑹𝑨𝑮 𝑺𝒚𝒔𝒕𝒆𝒎𝒔: Knowledge bases that allow users to query technical schematics or video archives using natural language. 𝐖𝐡𝐲 𝐌𝐲 𝐑𝐚𝐭𝐞 𝐢𝐬 $𝟏𝟎𝟎/𝐡𝐫: You are hiring a Lead Engineer and Architect. My 7 years of experience—spanning high-growth startups and global consultancies—allow me to prevent costly architectural mistakes before they happen. I design systems that are scalable, secure, and GDPR-compliant from Day 1. 𝐑𝐞𝐩𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐯𝐞 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬: - 𝑬𝒏𝒕𝒆𝒓𝒑𝒓𝒊𝒔𝒆 𝑫𝒂𝒕𝒂 𝑨𝒏𝒂𝒍𝒚𝒔𝒊𝒔 (𝑺𝒏𝒐𝒘𝒉𝒆𝒂𝒑): Architected a multi-agent system (Agno/LangChain) for automated report generation, currently used by major global financial clients. - 𝑹𝒆𝒂𝒍-𝑻𝒊𝒎𝒆 𝑷𝒓𝒐𝒄𝒕𝒐𝒓𝒊𝒏𝒈 𝑷𝒍𝒂𝒕𝒇𝒐𝒓𝒎 (𝑹𝒐𝒔𝒂𝒍𝒚𝒏.𝒂𝒊): Engineered a microservices-based vision pipeline integrating Gaze Tracking and Pose Estimation, scaling to support thousands of concurrent exams. - 𝑷𝒓𝒆𝒅𝒊𝒄𝒕𝒊𝒗𝒆 𝑺𝒑𝒐𝒓𝒕𝒔 𝑨𝒏𝒂𝒍𝒚𝒕𝒊𝒄𝒔 (𝑭𝑿1): Deployed real-time computer vision models on GCP to analyze live MMA streams and forecast outcomes. 𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: - 𝑨𝒈𝒆𝒏𝒕𝒊𝒄 𝑭𝒓𝒂𝒎𝒆𝒘𝒐𝒓𝒌𝒔: Agno (Phidata), LangGraph, LangChain, CrewAI. - 𝑪𝒐𝒎𝒑𝒖𝒕𝒆𝒓 𝑽𝒊𝒔𝒊𝒐𝒏: PyTorch, OpenCV, YOLO, Vision Transformers (ViT). - 𝑰𝒏𝒇𝒓𝒂𝒔𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆: Docker, Kubernetes, AWS/GCP, Edge AI. - 𝑫𝒂𝒕𝒂 & 𝑴𝒆𝒎𝒐𝒓𝒚:Weaviate, Pinecone, Redis. 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐁𝐮𝐢𝐥𝐝? If you are looking for a partner to guide your technical strategy and execute with precision, invite me to your job. Let's discuss your architecture.

7+ Years of Experience | Top Rated Plus Most businesses don't struggle because of a lack of ideas—they struggle because their systems can't keep up. Slow development cycles, brittle architectures, disconnected tools, and the inability to utilize AI effectively often result in lost opportunities, operational inefficiencies, and increased costs. I help businesses build scalable backend systems and AI-powered applications that are designed for long-term growth. Over the past 7+ years, I have worked with startups, SaaS companies, agencies, and enterprise teams to design, develop, and maintain production-grade applications using Python and Django. As AI adoption accelerated, I expanded my expertise into Generative AI and LLM-powered systems, helping companies integrate intelligent capabilities into existing products and build AI-native applications from the ground up. I bring a unique combination of strong software engineering fundamentals and deep understanding of modern AI technologies. I can help you with: ================= • Building robust SaaS applications using Django and Django REST Framework • Designing scalable APIs using FastAPI and modern backend architectures • Developing secure, maintainable, and high-performance Python applications • Architecting multi-tenant SaaS platforms and enterprise systems • Database design, optimization, and performance tuning • Authentication, authorization, RBAC, JWT, OAuth, and SSO implementations • Background processing using Celery, Redis, and asynchronous task execution • Third-party integrations including payment gateways, CRMs, ERPs, and external services • Cloud deployment, CI/CD pipelines, monitoring, and infrastructure automation In addition to backend engineering, I specialize in integrating AI capabilities into real-world products. My AI expertise includes: ===================== • Building LLM-powered applications using OpenAI, Claude, Gemini, Llama, DeepSeek, Mistral, and Hugging Face • Designing Retrieval-Augmented Generation (RAG) systems with vector databases and semantic search • Developing AI copilots and domain-specific assistants • Building multi-agent systems using LangGraph, CrewAI, OpenAI Agents SDK, AutoGen, and PydanticAI • Implementing tool calling, structured outputs, and agent orchestration workflows • Developing document intelligence solutions involving OCR, extraction, classification, and validation • Creating conversational AI solutions for customer support, internal operations, and workflow automation • Integrating AI into existing SaaS platforms without disrupting current business processes Technology Stack =========== Backend & APIs Python, Django, Django REST Framework, FastAPI, Flask, Node.js AI & LLMs OpenAI, Claude, Gemini, Llama, DeepSeek, Mistral, Hugging Face, LangChain, LangGraph, CrewAI, OpenAI Agents SDK, AutoGen, PydanticAI, MCP RAG & Vector Databases Pinecone, Qdrant, Weaviate, Chroma, pgvector, Embeddings, Hybrid Search, Reranking Databases & Messaging PostgreSQL, MySQL, MongoDB, Redis, RabbitMQ Cloud & DevOps AWS, Docker, Kubernetes, GitHub Actions, CI/CD, Monitoring, Observability I focus on building solutions that are secure, scalable, maintainable, and production-ready. Whether it's a high-performance Django backend, an AI-powered SaaS platform, or an intelligent system powered by LLMs, my priority is delivering technology that creates measurable business value rather than experimental prototypes. If you're looking for an engineer who combines deep Python expertise with practical experience shipping AI systems into production, I'd be happy to help bring your vision to life.