21+ years of extensive experience in the IT industry with a proven track record of delivering AI-powered voice assistants, RAG platforms, and intelligent agents for global startups, EdTech platforms, and enterprises. Worked across finance, education, retail, and consulting industries, helping clients design and deploy AI solutions that reduce costs, improve efficiency, and unlock new business opportunities. Skills and Expertise • AI Development: Generative AI, LLMs (GPT, Claude, LLaMA), AI Agents, Conversational AI, Retrieval-Augmented Generation (RAG), and Prompt Engineering. • Frameworks & Libraries: LangChain, LlamaIndex, Transformers, TensorFlow, PyTorch. • MLOps & Cloud: CI/CD Pipelines, FastAPI, Docker, Kubernetes, AWS, GCP, Azure. • Databases: PostgreSQL, MySQL, MongoDB, Redis, and Vector Databases (Pinecone, Qdrant, ChromaDB, Elasticsearch). • Specialized Solutions: Voicebots, Virtual Assistants, Multimodal AI, and Custom AI Model Training & Fine-Tuning.

Hello, My job is to turn raw data into purified insights. I apply statistics, machine learning and analytic approaches to solve critical business problems. My main function is to help organizations turn their volumes of big data into useful and actionable insights. Skills: statistics, data munging, data visualization, exploratory data analysis, Tools: R, SAS, SPSS, Tableau, Microsoft Excel, SQL, LaTeX, Markdown, R Shiny I pride myself on ensuring that all my work is error-free and completed in the shortest time. I look forward to building a strong long-term relationship with all of my customers.

An AI/ML engineer with more than three years of experience and expertise in the field of Machine Learning, Deep Learning, NLP and Computer Vision. I am also a Kaggle Competitions Master and Notebook Expert. I have won 1 gold, 6 silver and 5 bronze medals in various competitions. I bring the best AI solutions out there to every problem of my client. Area of expertise: - Generative AI and RAG-based applications - Computer Vision - Image Classification - Object Detection - Facial Recognition - Action Detection - Emotion Detection - Image Segmentation - 3D Image Classification - Natural Language Processing - Sentiment analysis - Entity extraction from a text - Text classification - Text analysis, tokenization, lemmatization, POS tagging, dependency trees - Unsupervised clustering of text - Outliers detection - Topic Modeling - Text similarity - Time series analysis - Text Visualization Skills: - Machine Learning/Deep Learning libraries: scikit-learn, TensorFlow, NumPy, Pandas, Matplotlib, Seaborn, jupyter Notebook, Anaconda, Keras, PyTorch - Machine Learning algorithms: Linear Regression, Logistic Regression, Support Vector Machines (SVM), Naive Bayes, KNN, Decision Tree, Random Forest, Gradient Boosting, Principal Component Analysis (PCA), KMeans, Agglomerative Clustering - Deep Learning Algorithms: Simple NN, CNN, RNN, LSTM, Transformers, BERT, GPT-3, GPT-2 - NLP: NLTK, spaCy, Gensim, word2vec, GLoVe, doc2vec, HuggingFace Transformers - Programming languages: JavaScript, Python - Collaboration and work management tools: Jira, Confluence, Trello, Basecamp - Cloud Computing and Containers: Docker, Google Cloud, AWS - Database Technologies (relational and non-relational): Microsoft SQL Server, Oracle, PostgreSQL, MongoDB (NoSQL) Moreover, I have built many end-to-end applications in ML in my past projects. Some of these can be seen in my portfolio. I am hard-working and passionate about solving the client's hunger for AI solutions. I am a quick learner with a problem-solving attitude, always interested in making long-term professional relationships with my clients to ensure the successful completion of the task within a deadline. I am ready to work on a wide range of projects including Predictive Analytics and reinforcement Learning.

Hi there! I'm an AI Engineer specializing in Computer Vision, LLM Fine-Tuning, RAG Systems, and AI Agent Development. With 4+ years of hands-on experience in Machine Learning and AI engineering, I build intelligent, production-ready systems that help businesses automate workflows, analyze visual data, detect sensitive information, and make smarter decisions with AI. ⚙️ What I Do: • RAG & LLM Systems: Production RAG pipelines with semantic search, vector stores (ChromaDB), time-aware retrieval, and grounded LLM responses via OpenAI GPT-4o-mini and LangChain — deployed on GCP with Docker and GitLab CI/CD • LLM Fine-Tuning: End-to-end fine-tuning pipelines across Llama, Mistral, Gemma, Phi, DeepSeek, Qwen, and Granite for NLP classification tasks — including custom dataset construction, HuggingFace Trainer API, and benchmark evaluation • Computer Vision: Real-time object detection and tracking (YOLOv8/v11, ByteTrack, StrongSORT), multi-camera Re-ID with epipolar geometry, emotion recognition, and TensorRT/ONNX-optimized inference pipelines • AI Agents & Automation: LLM-powered agents, Celery-based data ingestion pipelines, chatbot development, and API-driven workflow automation with FastAPI • ML Model Development: CNNs, NLP, model training, fine-tuning, ONNX/TensorRT optimization, and scalable production deployment • AI Infrastructure: FastAPI, Docker, GCP, GitLab CI/CD, PostgreSQL, MongoDB, Redis, scalable AI app architecture 🧠 Tech Stack: Python · PyTorch · HuggingFace Transformers · LangChain · OpenCV · YOLOv8/v11 · ChromaDB · FastAPI · Celery · Docker · PostgreSQL · MongoDB · GCP · GitLab CI/CD · ONNX · TensorRT · Streamlit · Stable Diffusion · scikit-learn 🌟 Why Clients Work With Me: • End-to-end delivery — from data collection and model training to production deployment and maintenance • Hands-on experience across media, retail, urban planning, and data privacy domains • High focus on accuracy, low latency, and scalability • Clear communication, fast delivery, and strong problem-solving under real production constraints Let's bring your AI, Computer Vision, or LLM idea to life 🚀

🚀 Fractional CTO & AI/IoT Solutions Architect | From Idea to Investor-Ready Product. 👋 I’m Amr Kamal, a Fractional Chief Technology Officer who turns early ideas into VC-funded, production-ready products across health-tech, B2B, climate, and IoT. In the past 10 years I’ve: 🚀 Secured grants & seed rounds for founders in the USA , EU, and MENA by delivering investor-ready tech roadmaps. 🖥️ Shipped multi-agent AI systems (OpenAI O3, DeepSeek, custom CV) that analyze speech, vision, and IoT data in real time , employees multi agent arch with custom orchestration & feedback extending current models capability including context size . 🌐 Scaled cloud micro-services on GCP , AWS & Azure (Docker, K8s, Terraform, serverless) to thousands of daily users. ⚙️ Deployed edge devices on ESP32, STM32, Nordic & Qualcomm QCC74x with FreeRTOS, BLE-Mesh, LoRa and ultra-low-power design. 📊 Built Full stack cloud apps & dashboards & mobile apps fast with FlutterFlow, Next.js & lovable so stakeholders see results in days, not months. What I offer & How I deliver value : Technology strategy : Market Discovery →Technology Roadmap →market-tech fit → board-ready roadmap → ( URS → SRS → UAT → Development Plan → Jira ) AI & data architecture : Custom Agentic Multi Agent - Multi Model RAG AI solutions ( Most accurate , Adheres to B2B business needs ) , with on-primes ( Deepseek / Huggingface ) or private cloud or via model provider —whichever your licence & privacy mandates require. IoT firmware + cloud : End-to-end stack: PCB Design & review → embedded C/C++/ ,RTOS → secure OTA → IoT Cloud backends or custom servers . Hire & mentor 10x talented developers , start up software development process , set up CI/CD and DevOps, present metrics to investors. Signature wins: +Multi-Startup Founder ( + 6 startups ) with 5 SaaS products in the market & 10 IoT products ( all invented by me ) +Past Tech Lead experience for software houses (20-dev) with access to premium vetted talent pool + Tech & Team Evaluation , Investment due-diligence adviser (VISASQ / Coleman) + UNDP, Microsoft for Startups, GitHub Social Good Recognition & honours for my work with Farmtopia +ADPList Top-100 AI/ML mentor in Africa. ⚡ Working style Document-first for traceability, Weekly agile sprints, clear cost dashboards. Extreme Agility with “Minimum Lovable Piece” mindset—every feature must earn its keep, but must ship usable value fast, polish iteratively Fixed-price milestones available – always transparent on scope & cost . Ready to move from concept to launch? Send a brief (or even a single constraint) and I’ll reply within 24 h with a concrete next step.

🎯 I turn raw ideas into AI-powered products investors back & users love • Ex-Google & NGINX engineer, • Top-1% Upwork "Expert-Vetted" freelancer, • AI / full-stack architect with 100 + shipped products powering 1 M+ monthly users and helping founders raise $30 M+. 🚀 RESULTS * SaaS platforms & mobile apps that closed $50 M+ in VC rounds * AI agents & RAG chatbots saving 1000s of staff hours monthly across law, procurement, healthcare & finance * Digital products delivering 1 M+ monthly active users and 7-figure ARR growth 🤝 WHY FOUNDERS HIRE ME * Investor-ready builds - Planning to raise? I understand what it takes to impress VCs - from demo-day-ready UX to scalable architecture that holds up under due diligence. * Battle-tested delivery – 10 + years of experience with Google, NGINX/F5 & high-growth startups * Speed without chaos – Lean scope, fast reliable launches, clear milestones, weekly demos, * no-surprise invoices. * Built-in AI edge – Ship smarter products faster with AI agents, RAG, fine-tuned LLMs, and vector search - without hiring a separate ML team. * True partnership – Aligned with your business goals: product strategy, UX polish, post-launch optimization, and VC + go-to-market support (AI-driven SEO, ChatGPT/Google/Bing indexing, ads, directories) – not just coding. 🗺️ MY PROVEN PROCESS TO BUILD SAAS 1. Discovery → AI opportunity mapping & success metrics (BRD, wireframes, technical architecture) 2. Clickable Prototype → Investor-ready demo in 7-14 days 3. Incremental Build → Weekly value drops with real-time staging links 4. Launch & Iterate → Observability, A/B tests, cost & latency tuning 📞 NEXT STEP Ready to turn your vision into reality? Invite me to your job or drop a message for a free strategy call. Let's build something investors fund and users rave about -together. 🔧 TECH STACK React / Next.js • React Native & Flutter • Python, FastAPI • Prisma & tRPC • PostgreSQL, Supabase • AWS Bedrock, GCP Vertex • OpenAI GPT, Anthropic Claude • LangChain, LangGraph, LlamaIndex • Pinecone, Weaviate • WebGPU & WASM • MCP, A2A, n8n, Clawdbot, Make . com automations • Docker & Kubernetes

Hi, I'm Ibrahim 👋 AI Engineer · Automation Architect · Full-Stack Builder 17 jobs. 191 hours. 100% Job Success. Top Rated Plus. Every project shipped on time. No exceptions. I build production-grade AI systems, cloud infrastructure, and automation pipelines — and I use Claude Code to move fast on full-stack builds without cutting corners on quality. 💡 What I Build ✔️ n8n & Make workflows for ops, sales, and marketing automation ✔️ Claude-powered AI agents with tool use, memory, and real context ✔️ RAG pipelines with production-grade retrieval (AWS Bedrock, pgvector, S3) ✔️ Voice agents via Retell AI with CRM and calendar integration ✔️ Full-stack web apps and dashboards (React, Next.js, Node.js — built with Claude Code) ✔️ CRM integrations across HubSpot and GoHighLevel ✔️ Lead qualification, enrichment, and outreach automation ✔️ AWS infrastructure — Lambda, DynamoDB, Amplify, CDK, SageMaker, Bedrock ✔️ WhatsApp, email, and multi-channel AI agent systems 🛠️ Tech Stack AI & Automation: Claude Code · Anthropic API · n8n · Make · Retell AI · OpenAI API · LangChain · RAG Pipelines Cloud: AWS Bedrock · Lambda · S3 · DynamoDB · Amplify · CDK · SageMaker · pgvector Full-Stack: React · Next.js · Node.js · REST APIs · GraphQL · PostgreSQL Integrations: HubSpot · GoHighLevel · Calendar Booking APIs · Twilio · WhatsApp · Stripe 🚀 Why Clients Work With Me ✅ 100% Job Success — Top Rated Plus on Upwork ✅ I ship things that work in production, not just demos ✅ Claude Code means faster full-stack delivery without sacrificing architecture ✅ Clean documentation — you'll never be stuck with something you can't maintain ✅ Direct communication — I'll tell you straight if something isn't worth building ✅ AWS infrastructure thinking, not just glue-code deployments ✅ Available across US, Singapore, Japan, and Ireland time zones 📈 What You Can Expect When we work together, you get: A clear technical plan before anything is built AI systems that actually solve the problem, not just look impressive Workflows documented so your team can own them Production-ready AWS deployments with proper architecture Fast turnaround — I know what I'm doing and I move accordingly No black boxes. No technical debt. No ghosting. 💬 Got an automation eating your team's time, an AI product you want to ship, or a full-stack build you need done right? Send me a message and I'll tell you exactly how I'd approach it. 📅 Open to both short-term projects and long-term partnerships. Let's build something that actually works.

Are you a startup founder or agency sitting on a software project that keeps breaking, stalling, or eating your budget without delivering results? 𝘐𝘴 𝘺𝘰𝘶𝘳 𝘤𝘶𝘳𝘳𝘦𝘯𝘵 𝘥𝘦𝘷𝘦𝘭𝘰𝘱𝘦𝘳 𝘮𝘰𝘳𝘦 𝘧𝘰𝘤𝘶𝘴𝘦𝘥 𝘰𝘯 𝘸𝘳𝘪𝘵𝘪𝘯𝘨 𝘧𝘢𝘯𝘤𝘺 𝘤𝘰𝘥𝘦 𝘵𝘩𝘢𝘯 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 𝘴𝘰𝘭𝘷𝘪𝘯𝘨 𝘺𝘰𝘶𝘳 𝘣𝘶𝘴𝘪𝘯𝘦𝘴𝘴 𝘱𝘳𝘰𝘣𝘭𝘦𝘮? Typical founders and agencies I speak to are doing well on the business side but deeply concerned about one thing. 𝑻𝒉𝒆𝒊𝒓 𝒔𝒐𝒇𝒕𝒘𝒂𝒓𝒆 𝒘𝒂𝒔 𝒏𝒆𝒗𝒆𝒓 𝒃𝒖𝒊𝒍𝒕 𝒕𝒐 𝒔𝒄𝒂𝒍𝒆. They are disappointed with systems that crack the moment traffic spikes. They are unhappy with developers who disappear after delivery leaving them with technical debt they cannot explain to their own team. ▸ 𝘋𝘰𝘦𝘴 𝘺𝘰𝘶𝘳 𝘴𝘺𝘴𝘵𝘦𝘮 𝘭𝘰𝘢𝘥 𝘭𝘪𝘬𝘦 𝘢 𝘸𝘰𝘰𝘥𝘦𝘯 𝘸𝘩𝘦𝘦𝘭 𝘦𝘷𝘦𝘳𝘺 𝘵𝘪𝘮𝘦 𝘳𝘦𝘢𝘭 𝘶𝘴𝘦𝘳𝘴 𝘴𝘩𝘰𝘸 𝘶𝘱? ▸ 𝘐𝘴 𝘪𝘵 𝘯𝘰𝘵 𝘮𝘰𝘣𝘪𝘭𝘦 𝘰𝘱𝘵𝘪𝘮𝘪𝘻𝘦𝘥? ▸ 𝘋𝘰𝘦𝘴 𝘪𝘵 𝘨𝘰 𝘥𝘰𝘸𝘯 𝘦𝘹𝘢𝘤𝘵𝘭𝘺 𝘸𝘩𝘦𝘯 𝘺𝘰𝘶𝘳 𝘮𝘰𝘴𝘵 𝘪𝘮𝘱𝘰𝘳𝘵𝘢𝘯𝘵 𝘤𝘭𝘪𝘦𝘯𝘵𝘴 𝘢𝘳𝘦 𝘸𝘢𝘵𝘤𝘩𝘪𝘯𝘨? 𝑰𝒇 𝒕𝒉𝒂𝒕 𝒊𝒔 𝒚𝒐𝒖, 𝒕𝒉𝒆𝒏 𝒎𝒂𝒚𝒃𝒆 𝑰 𝒄𝒂𝒏 𝒉𝒆𝒍𝒑. I am a 𝗦𝗲𝗻𝗶𝗼𝗿 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 with 5+ 𝘆𝗲𝗮𝗿𝘀 of experience and 5𝟬+ 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 across SaaS platforms, MVPs, e-commerce systems, and enterprise-level infrastructure. 𝘐 𝘥𝘰 𝘯𝘰𝘵 𝘫𝘶𝘴𝘵 𝘸𝘳𝘪𝘵𝘦 𝘤𝘰𝘥𝘦. I understand your business model first. I choose the right stack strategically. I build systems engineered for 𝗴𝗿𝗼𝘄𝘁𝗵 not just quick launches and I communicate clearly so you never chase updates or wonder what is happening with your product. 𝘛𝘩𝘦𝘺 𝘭𝘢𝘶𝘨𝘩𝘦𝘥 𝘸𝘩𝘦𝘯 𝘐 𝘴𝘢𝘪𝘥 𝘐 𝘤𝘰𝘶𝘭𝘥 𝘳𝘦𝘴𝘤𝘶𝘦 𝘢 𝘧𝘢𝘪𝘭𝘪𝘯𝘨 𝘚𝘢𝘢𝘚 𝘱𝘳𝘰𝘫𝘦𝘤𝘵 𝘪𝘯 𝘶𝘯𝘥𝘦𝘳 30 𝘥𝘢𝘺𝘴. 𝘉𝘶𝘵 𝘸𝘩𝘦𝘯 𝘵𝘩𝘦𝘺 𝘴𝘢𝘸 𝘵𝘩𝘦 𝘳𝘦𝘴𝘶𝘭𝘵𝘴 𝒕𝒉𝒆 𝒄𝒐𝒏𝒗𝒆𝒓𝒔𝒂𝒕𝒊𝒐𝒏 𝒄𝒉𝒂𝒏𝒈𝒆𝒅. You have options. But 𝘩𝘪𝘳𝘪𝘯𝘨 𝘢 𝘭𝘰𝘸-𝘤𝘰𝘴𝘵 𝘥𝘦𝘷𝘦𝘭𝘰𝘱𝘦𝘳 𝘪𝘴 𝘭𝘪𝘬𝘦 𝘭𝘰𝘷𝘦 𝘢𝘵 𝘧𝘪𝘳𝘴𝘵 𝘴𝘪𝘨𝘩𝘵. It feels good at the start. But later you open the box and sometimes 𝘵𝘩𝘦 𝘣𝘰𝘹 𝘪𝘴 𝘦𝘮𝘱𝘵𝘺. I come in with a clear process, defined standards, and long-term thinking. If the system I build does not handle your load, pass QA, and work across every device I will make it right. 𝗧𝗵𝗮𝘁 𝗶𝘀 𝗺𝘆 𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲. 𝑰𝒇 𝒚𝒐𝒖 𝒂𝒓𝒆 𝒔𝒆𝒓𝒊𝒐𝒖𝒔 𝒂𝒃𝒐𝒖𝒕 𝒃𝒖𝒊𝒍𝒅𝒊𝒏𝒈 𝒔𝒐𝒇𝒕𝒘𝒂𝒓𝒆 𝒕𝒉𝒆 𝒓𝒊𝒈𝒉𝒕 𝒘𝒂𝒚, 𝒔𝒆𝒏𝒅 𝒎𝒆 𝒂 𝒎𝒆𝒔𝒔𝒂𝒈𝒆 𝒓𝒊𝒈𝒉𝒕 𝒏𝒐𝒘. 𝗬𝗼𝘂𝗿 𝗻𝘂𝗺𝗯𝗲𝗿 𝗼𝗻𝗲 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗽𝗮𝗿𝘁𝗻𝗲𝗿 the architect who makes sure your system never becomes your biggest bottleneck. 𝘗.𝘚. 𝘐𝘧 𝘰𝘯𝘦 𝘥𝘢𝘺 𝘺𝘰𝘶𝘳 𝘱𝘭𝘢𝘵𝘧𝘰𝘳𝘮 𝘢𝘤𝘩𝘪𝘦𝘷𝘦𝘴 𝘦𝘷𝘦𝘯 𝘢 𝘧𝘳𝘢𝘤𝘵𝘪𝘰𝘯 𝘰𝘧 𝘵𝘩𝘦 𝘨𝘳𝘰𝘸𝘵𝘩 𝘺𝘰𝘶 𝘢𝘳𝘦 𝘸𝘰𝘳𝘬𝘪𝘯𝘨 𝘵𝘰𝘸𝘢𝘳𝘥 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘴𝘺𝘴𝘵𝘦𝘮 𝘩𝘰𝘭𝘥𝘴 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 𝘣𝘳𝘦𝘢𝘬𝘪𝘯𝘨 𝒕𝒉𝒂𝒕 𝒊𝒔 𝒕𝒉𝒆 𝒐𝒏𝒍𝒚 𝒎𝒆𝒂𝒔𝒖𝒓𝒆 𝒐𝒇 𝒔𝒖𝒄𝒄𝒆𝒔𝒔 𝑰 𝒄𝒂𝒓𝒆 𝒂𝒃𝒐𝒖𝒕. 𝗙𝗔𝗤 𝗖𝗮𝗻 𝘆𝗼𝘂 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗲𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝗰𝗼𝗱𝗲𝗯𝗮𝘀𝗲𝘀? Both new and existing. 𝘐 𝘥𝘰 𝘯𝘰𝘵 𝘳𝘦𝘸𝘳𝘪𝘵𝘦 𝘧𝘰𝘳 𝘵𝘩𝘦 𝘴𝘢𝘬𝘦 𝘰𝘧 𝘳𝘦𝘸𝘳𝘪𝘵𝘪𝘯𝘨. 𝗪𝗵𝗮𝘁 𝘀𝘁𝗮𝗰𝗸𝘀 𝗱𝗼 𝘆𝗼𝘂 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵? React, Next.js, Node.js, Python, WordPress, AWS, GCP, PostgreSQL, MongoDB and more. 𝘛𝘩𝘦 𝘴𝘵𝘢𝘤𝘬 𝘪𝘴 𝘢𝘭𝘸𝘢𝘺𝘴 𝘤𝘩𝘰𝘴𝘦𝘯 𝘣𝘢𝘴𝘦𝘥 𝘰𝘯 𝘺𝘰𝘶𝘳 𝘯𝘦𝘦𝘥𝘴 not my preference. 𝗖𝗮𝗻 𝘆𝗼𝘂 𝗵𝗮𝗻𝗱𝗹𝗲 𝗯𝗼𝘁𝗵 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗮𝗻𝗱 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁? Yes. I lead execution and stay involved through delivery 𝘐 𝘥𝘰 𝘯𝘰𝘵 𝘤𝘰𝘯𝘴𝘶𝘭𝘵 𝘢𝘯𝘥 𝘥𝘪𝘴𝘢𝘱𝘱𝘦𝘢𝘳. 𝗪𝗵𝗮𝘁 𝗶𝗳 𝗜 𝗼𝗻𝗹𝘆 𝗻𝗲𝗲𝗱 𝗮 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗿𝗲𝘃𝗶𝗲𝘄? That is a standalone service. Send me a message and we can start there. 𝑰𝒇 𝒂𝒏𝒚 𝒐𝒇 𝒕𝒉𝒂𝒕 𝒊𝒔 𝒘𝒉𝒂𝒕 𝒚𝒐𝒖 𝒏𝒆𝒆𝒅 𝗰𝗼𝗻𝘁𝗮𝗰𝘁 𝗺𝗲 𝗮𝗻𝗱 𝗹𝗲𝘁 𝘂𝘀 𝗴𝗲𝘁 𝘁𝗼 𝘄𝗼𝗿𝗸.

Build production machine learning systems: forecasting, NLP, computer vision, and tabular models, plus the MLOps to deploy and monitor them, so the model keeps working after it ships. Machine Learning Engineer with 8+ years taking ML projects from raw data to live deployment in Python and AWS. Shipped models across telecom, automotive, energy, renewables, shipping, and e-commerce: demand forecasting, customer scoring and segmentation, anomaly detection, NLP, and decision automation. 🔑𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Predictive modeling, classification, regression, forecasting, time series, clustering, anomaly detection, recommendation systems, feature engineering 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞: Python, Pandas, NumPy, Scikit-learn, statistical analysis, data wrangling, EDA, A/B testing 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐍𝐋𝐏 & 𝐂𝐕: TensorFlow, PyTorch, neural networks, text classification, embeddings, image classification, object detection 𝐌𝐋𝐎𝐩𝐬 & 𝐂𝐥𝐨𝐮𝐝: AWS (SageMaker, EC2, S3, Lambda), Docker, MLflow, CI/CD, model deployment, monitoring, scalable pipelines 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝: FastAPI, Flask, Django, REST APIs, n8n, Zapier, Make, webhooks 𝐀𝐈, 𝐋𝐋𝐌 & 𝐁𝐨𝐭𝐬: GPT-4, Claude, RAG, LangChain, LangGraph, vector databases, prompt engineering, AI agents, chatbot development, conversational AI, Telegram/Discord/Slack bots Tell me your data and the outcome you need. I'll reply with how I'd approach the model and a rough timeline, so you know what working with me looks like before you commit.

Senior AI Researcher with 6+ years building production-grade computer vision and deep learning systems that work in the real world not just in notebooks. Currently at PIAspace (Seoul), I develop AI-powered products deployed at 30+ organizations globally: - MACS: Multi-modal AI CCTV anomaly detection system - SSAVE: AI-powered video search model Previously a Visiting Researcher at Mila – Quebec AI Institute (one of the world's top AI research centers), and a Graduate Research Assistant at Sejong University where I built object detection, anomaly detection, and video-to-video translation systems using GANs. With a unique combination of research depth and production engineering experience, I deliver AI solutions that are reliable, scalable, and genuinely deployable.