⭐ Expert Vetted | Top Rated Plus — Top 1% on Upwork 👨‍💻 Founder & CEO, HumbleBeeAI 🥇 AI Professor, Gachon University 🏆 PhD in Artificial Intelligence | 12+ years of experience Short Overview (for a busy client) I am an AI Engineer, Machine Learning Specialist, and Full‑Stack Developer with 12+ years of experience delivering production-grade AI systems, LLM solutions, intelligent chatbots, and computer vision applications for startups and enterprises worldwide. I have helped more than 70 companies across the US, Europe, and the Middle East launch scalable AI products and generate over $5M in additional value through automation, predictive systems, and generative AI–driven features. As Founder & CEO of HumbleBeeAI and AI Professor at Gachon University, I combine deep research expertise with hands-on product delivery, focusing on solutions that are robust, explainable, and directly tied to business KPIs. If you need someone who can design, build, fine‑tune, and deploy real AI systems—not just prototypes or demos—I can own the full lifecycle from idea to production. LLMs, Generative AI & Chatbots LLM fine‑tuning and custom model training (LLaMA, LLaMA‑2, BLOOM, OPT) Prompt engineering and workflow optimization for reliability and cost-efficiency RAG systems using LangChain, FAISS, ChromaDB for private / enterprise search AI chatbot development and multi‑step automation agents API‑based AI integrations for web and mobile products Common use cases: AI assistants, document intelligence, knowledge‑base bots, SaaS AI features, internal productivity tools, and automated business workflows. Computer Vision Expertise Object detection and tracking (YOLO, OpenCV, custom deep learning models) OCR and document-processing pipelines Face recognition and biometric identification systems Image segmentation, classification, and visual analytics Video intelligence pipelines for real-time monitoring and alerts AR/VR vision‑based applications Ideal for: industrial monitoring, security and surveillance, retail analytics, document automation, and smart cameras. Machine Learning & AI Engineering Predictive modeling and forecasting (churn, demand, risk, pricing) NLP systems and text analytics Time‑series modeling and anomaly detection Reinforcement learning for decision-making and control Data pipelines and MLOps, CI/CD for ML AI automation tools and agentic workflows AI‑powered dashboards and insight products I prioritize clean data pipelines, reproducible experiments, and scalable deployment from day one. Full‑Stack & AI Product Development Frontend: React, Angular, Flutter, Streamlit, Tailwind, Figma Backend: Node.js, Django, Flask, .NET, REST APIs Databases: MongoDB, PostgreSQL, MySQL, Firebase, SQL Server Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, Nginx, Heroku I can deliver end‑to‑end AI products—from MVP to production at enterprise scale—without heavy dependency on additional engineering teams.

With 6+ years of experience in data science and analytics, I help businesses turn raw data into clear, actionable strategies. My background combines data analysis, KPI management, and AI/ML engineering, giving me the ability to deliver both insightful dashboards and automation-driven solutions. I’ve successfully delivered projects for global brands like Amazon, Volvo, Ferrero, and Mindshare, focusing on scalable analytics, conversational AI, and data pipelines that drive measurable impact. ✨ What I can do for you: KPI & Data Analysis – Track business performance with precise reporting and interactive dashboards (Power BI, SQL, Looker Studio, Python). AI/ML Solutions – Predictive analytics, classification, clustering, and ML pipelines (scikit-learn, XGBoost, TensorFlow). Chatbots & NLP – Build smart conversational AI (OpenAI, LangChain, RASA, Dialogflow) with intent detection, sentiment analysis & summarization. APIs & Data Pipelines – Automate workflows, integrate third-party APIs, and design ETL processes for real-time insights. I combine technical depth with business understanding, ensuring you don’t just get data—you get solutions that optimize, automate, and scale smarter. Let’s discuss how I can support your next project! 🚀

Experienced in: 1. Computer vision • C++, Python, OpenCV, CUDA, Git, Linux, Qt, Boost, OpenGl, PCL, Strong math background, Neural Networks - road segmentation for unmanned vehicles (ENet, Caffe, OpenCV, C++, Linux) - car tracking (Yolo v3, OpenCV, C++, Linux) - wagon number identification (Yolo v4, Python) - implementation of real time 360°/perspective camera transformation on Cuda (C++, Cuda, OpenCV, Linux, Jetson Nano) - distance calculation to point on 2D camera frame (C++, OpenCV, Linux) - automate grading system for handwritten answer sheets (computer vision part, OpenCV, Java, Android Key stack: Linux, C++ (Qt), Python, Java, OpenCV, Yolo (darknet) 2. Machine Learning Machine learning research projects in the following domains: - person segmentation (ModNet, RVM, TDNet, UCTransNet, XMem etc.) - image inpainting (Pen-Net, Deepfillv2, Shift-Net, ViNet etc.) - image upscale (RDN, RRDN, Stable Diffusion, ISR etc.) - image relighting (Total Relighting, DPR, RelightNet etc.) - road segmentation for unmanned vehicles (ENet, Caffe, OpenCV, C++, Linux) - car tracking (Yolo v3, OpenCV, C++, Linux) - wagon number identification (Yolo v4, Python) - implementation of real time 360°/perspective camera transformation on Cuda (C++, Cuda, OpenCV, Linux, Jetson Nano) - distance calculation to point on 2D camera frame (C++, OpenCV, Linux) - automate grading system for handwritten answer sheets (computer vision part, OpenCV, Java - Android, IOS - Swift) Key stack: Linux, Python, Pytorch, Tensorflow, OpenCV, Pillow, Numpy, C++, CUDA, Darknet, SegNet 3. Robotics and Embedded development: - OCPP Protocol, Linux, Modbus, Raspberry Pi, CAN; -ROS Robot operating system; - Skilled in SLAM, localization, mapping - Experienced in path planning algorithms, obstacle avoidance, holonomic, and non-holonomic motion planning, trajectory planning for robotics arms; - Used to work with Bayesian/Kalman filters, and sensor fusion (LiDAR, IMU, Visual, Odometry, Radar, GPS). 4. Android development (Kotlin, Java, Android Studio, Eclipse, Firebase). Has expert colleagues in: • .Net Framework (C#, VB.Net, ASP.Net, .Net Core, WPF, UWP,WCF, ADO.Net) • Java (j2se, j2ee, servlets, java beans, Maven) • JavaScript (Node.JS, Express.js, Vue.js, Element.js, Angular.js, D3.js) • C++ (TCP/IP, HTTP, HTTPS, WebSocket, Modbus) • Python (MAVLink, WebSocket) • Step7 (S7 Communication, OCPP, Modbus, CANOpen, ProfiNet) Database • PostgreSQL • MySQL • MongoDB • Microsoft SQL • Oracle Database • Neo4J Software development for mobile platforms • Crossplatform React Native, Flutter, Xamarin, • Android (Kotlin, Java, Android Studio, Eclipse) • iOS (Objective C, Swift) Mobile apps development: • Crossplatform: Futter, React Native, Xamarin. • Android (Java, Kotlin) • iOS (Objective C, Swift) 1. Native Development - Kotlin/Java - Swift / Objective-C - iOS/macOS/tvOS/watchOS - Firebase, CloudKit, Coredata 2. Cross-Platform and Hybrid App Development - React Native/React - Flutter / Dart - Xamarin.iOS / Xamarin.Android / Xamarin.Forms tech stack ● Android Studio, Gradle, Kotlin DSL, KSP ● Kotlin, Java programming languages ● AndroidX, Android Jetpack libraries, Android Architecture Components ● Jetpack Compose ● Material Design Components ● Clean Architecture, SOLID design principles ● MVVM, MVI, GoF design patterns ● Modularization (multi-module projects) ● Kotlin Coroutines + Flow, RxJava, RxBinding ● REST API / Networking - OkHttp, Retrofit 2, Socket IO ● Room Database, SQLite, Datastore ● Kotlinx Serialization, Protobuf, Moshi, Gson ● Dependency Injection (Hilt, Dagger 2, Koin) ● Git ● Firebase Products, Google Cloud APIs, HMS Services ● Admob, Google Play Billing Library (in-app purchases), Samsung/Huawei IAP ● Unit / Instrumented (UI) tests ● Agile Scrum development methodology ● CI/CD (GitHub Actions) AR/VR: Vuforia ARkit/ARcore/AR Foundation Wikitude Oculus Integration OpenXR XR Interaction toolkit VR Walkthrough UltimateXR VR Interaction Framework Hardware expert: • Nvidia Jetson Nano, TX2, Xavier; • Raspberry Pi; • Arduino, STM32; • Depth cameras Intel Realsense d435i , Zed Sterelabs. • Lidars, Radars. Charging stations for the Electric Vehicles development software for the managing stations and networks (server and user applications): • C#, SQL, PostgreSQL, .Net Core, REST Api, WebSockets • OCPP Protocol, Linux, Modbus, Raspberry Pi Software development • .Net Framework (C#, VB.Net, ASP.Net, .Net Core, WPF, UWP,WCF, ADO.Net) • Java (j2se, j2ee, servlets, java beans, Maven) • JavaScript (Node.JS, Express.js, Vue.js, Element.js, Angular.js, D3.js) • C++ (TCP/IP, HTTP, HTTPS, WebSocket, Modbus) • Python (MAVLink, WebSocket) • Step7 (S7 Communication, OCPP, Modbus, CANOpen, ProfiNet) Database • PostgreSQL • MySQL • MongoDB • Microsoft SQL • Oracle Database • Neo4J

🧐𝗪𝗵𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗰𝗼𝘂𝗹𝗱 𝗮𝗻𝘀𝘄𝗲𝗿 𝘆𝗼𝘂𝗿 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝘀𝗲𝗰𝗼𝗻𝗱𝘀 𝗶𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗵𝗼𝘂𝗿𝘀? That's exactly what I help businesses achieve. With 8+ years of experience, I build interactive Power BI, Looker Studio, and Tableau dashboards that turn scattered data into clear insights. From executive KPI dashboards to automated business reports, I help teams spend less time creating reports and more time making decisions. 𝗪𝗵𝗮𝘁 𝗜 𝗖𝗮𝗻 𝗛𝗲𝗹𝗽 𝗬𝗼𝘂 𝗪𝗶𝘁𝗵 • Power BI Dashboards • Looker Studio Reports • Tableau Dashboards • Executive & KPI Dashboards • Business Intelligence • Data Visualization • DAX & Power Query • SQL & Excel Reporting • Automated Reporting 𝗪𝗵𝘆 𝗨𝗽𝘄𝗼𝗿𝗸 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 ✔ Quick Response ✔ Interactive dashboards that are easy to understand ✔ Automated reporting that saves valuable time ✔ Clean, modern, and business-focused visualizations ✔ Accurate KPI tracking and actionable insights ✔ Reliable communication and on-time delivery 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 ↩↩ E-Commerce • Finance • Healthcare • Marketing • Retail • SaaS • Logistics Whether you're tracking sales, finance, marketing, operations, or business performance, I'll build a dashboard that's tailored to your goals, not just another report. Send me a message or invite me to your project, and let's discuss how we can turn your data into decisions that drive real business growth.

I am a highly skilled AI/ML Engineer specializing in building intelligent, production-grade AI systems. My expertise spans Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), Deep Learning, Computer Vision, and AI Agent Development. I am proficient in Python and work extensively with frameworks such as LangChain, LangGraph, TensorFlow, PyTorch, and Hugging Face Transformers to design, fine-tune, and deploy complex models. I have hands-on experience building autonomous AI agents and LLM-powered applications, including a stateful conversational assistant (LangGraph, OpenAI API) for a food delivery and wellness app with personalized recommendations, nutrition tracking, and image-based food recognition, and an autonomous media-buying agent powered by the Anthropic Claude API that integrates with the Meta Marketing API for automated budget optimization with human-in-the-loop approval, real-time SSE streaming, and voice command processing (Deepgram). In fraud detection and anomaly analysis, I've built and maintained a large-scale claims intelligence platform (~7.8M+ records) combining deterministic business rules, behavioral clustering, and an ensemble ML pipeline (Isolation Forest, One-Class SVM, LOF) with SHAP explainability, backed by FastAPI, SQL Server, and SQLAlchemy. My Computer Vision experience includes fine-tuning YOLOv8 for object detection on satellite imagery (parking space detection) using tiling-based training for improved accuracy, along with building Streamlit demos for interactive model evaluation. I also have experience with Retrieval-Augmented Generation (RAG) for document analysis (legal document summarization and Q&A using LangChain and vector databases like Pinecone/FAISS), text classification and AI-generated content detection using fine-tuned Transformer models (RoBERTa, DeBERTa) combined with statistical NLP methods, and building customer support automation systems using Dify, BERT, and Elasticsearch-based RAG pipelines. I work closely with data to drive impactful, measurable results, and I'm proficient in API integrations, cloud deployment (AWS, Azure), Docker-based infrastructure, and observability/evaluation tooling (Langfuse, Weights & Biases) to ensure AI systems are reliable, explainable, and production-ready. My goal is to deliver innovative, high-performance AI solutions — from LLM agents to fraud detection systems and computer vision pipelines — that solve real-world problems and drive measurable business value.

🚀 I build end-to-end systems.From scraping the data to building the app that runs it. I am not just a scriptwriter,I am a Python Systems Engineer with a diverse toolkit. Whether you need to scrape complex websites, architect a high-speed data pipeline, or build a custom web application, I deliver clean, modular, and scalable code. My goal is simple: I automate your headaches and build your assets. 🛡️ 1. Automated Data Acquisition & Intelligence Forget simple scripts that break in a week. I engineer robust ETL pipelines designed for 99.9% availability. ▸ Anti-Bot Bypass: I specialize in handling Cloudflare, Captchas, and dynamic content to ensure uninterrupted data flow. ▸ Reverse Engineering: Whenever possible, I reverse-engineer internal APIs to extract data faster and cleaner than standard browser automation (Selenium/Playwright). ▸ The Result: Structured, validated data delivered directly into your warehouse (PostgreSQL, Snowflake) or via a custom API. ⚙️ 2. High-Performance Systems Architecture I build engines that handle heavy loads without lagging. ▸ Modular Pipelines: I recently architected a real-time pipeline integrating 45+ sources with <100ms latency. ▸ Scoring Engines: I build custom algorithms (using Pandas & NumPy) to rank and match entities, such as CV matching systems or Stock Confluence engines. ▸ Speed: Utilizing AsyncIO and Multiprocessing, I ensure your system can process thousands of tasks in seconds, not hours. 💻 3. Full-Stack Web Development (Django/FastAPI) Your data needs a home. I build the dashboard that controls it. ▸ Secure Backends: I develop robust backends using Django and FastAPI to manage your logic and users. ▸ API Development: I design RESTful APIs to serve your processed data to front-ends or mobile apps efficiently. ▸ Deployment: I handle the full life cycle setting up Linux/Ubuntu servers and deploying your app so it is live and stable. 🧠 Why Partner With Me? ✔ The Bridge Developer: I bridge the gap between "Data Scientist" and "Software Engineer." I can analyze the data and build the system that serves it. ✔ Clear Communication: I explain complex tech in plain English. You will always know exactly where your project stands. ✔ Reliability: I write modular, object-oriented code that is easy to maintain and doesn't break when you scale. 📩 Got a complex problem? Let’s chat. I’m ready to build..

I take on AI projects that others find too complex — end-to-end systems where the challenge isn't just the model, but making everything work together at scale. If the problem is hard, that's where I do my best work. Over the years I have architected and delivered full-cycle AI systems covering deep learning, LLMs, computer vision, NLP, MLOps infrastructure, and cloud-native deployments. I don't just build models — I build systems that work reliably at scale. I am the right fit if your project involves a complex AI system that needs to be built right, not just fast, multiple moving parts such as data pipelines, model training, APIs, and deployment that need to work together seamlessly, a challenging problem where off-the-shelf solutions fall short, or long-term thinking around performance, cost, and maintainability. My core expertise spans deep learning and LLMs including transformer models, BERT/GPT fine-tuning, and RAG pipelines using PyTorch, TensorFlow, and JAX. I work extensively in computer vision with YOLO, R-CNN, and Vision Transformers, as well as NLP, semantic search, and conversational AI powered by vector databases like Pinecone and Milvus. On the infrastructure side, I build end-to-end MLOps pipelines using Kubeflow, MLflow, and DVC, with CI/CD for models via GitHub Actions and GitLab, and monitoring through Prometheus and Grafana. I deploy across AWS SageMaker, Azure ML, and Google Vertex AI using Docker and Kubernetes, with a strong focus on cost-optimized GPU and TPU workloads. I also have deep experience in data engineering with ETL pipelines, feature stores, real-time streaming using Spark and Flink, and warehousing on Snowflake and BigQuery. For AI-powered APIs and SaaS products, I work with FastAPI, Node.js, Redis, PostgreSQL, and MongoDB. Additional expertise includes reinforcement learning, diffusion models, GANs, federated learning, model quantization, edge AI with TensorFlow Lite and CoreML, and AI explainability using SHAP and LIME. I bring strong communication, clean documentation, and a consistent track record of delivering complex AI projects on time. If you have a challenging end-to-end AI project, I would love to hear about it.

I build production-grade AI systems and enterprise integrations for manufacturing, healthcare, and Fortune 500 organizations. My work centers on AI engineering, business technology solutions, enterprise data operations, and custom integration development. I don't sell technology—I solve business problems. Every engagement starts with understanding your operational constraints, regulatory requirements, and financial targets. Solutions are architected for production environments, not proof-of-concepts. Typical outcomes: 60-80% reduction in manual processing time, predictive lead times on supply chain issues, unified data visibility across disconnected systems, compliant healthcare data platforms, automated quality control in manufacturing operations.

I’m an AI/ML developer with over 10 years of experience in turning ideas into real, practical solutions. I specialize in building custom AI applications, chatbots, and solutions for tasks like NLP, computer vision, and advanced machine learning. Here’s a quick idea of what I can do: - Create AI chatbots and fine-tune large language models. - Solve business challenges using data-driven approaches. - Work on tasks like text analysis, document summarization, image recognition, and more. I’m easy to work with and love collaborating to bring projects to life. Whether you’re exploring an idea or ready to build something, I’m here to help. Let’s connect and discuss how we can make it happen!

I’m a freelance Game Developer with 7 years of experience in Unity and Godot, helping studios and startups design, optimize, and deliver their projects. I’ve contributed to titles released on Steam and mobile, with a strong focus on robust gameplay systems, intuitive player experience, and high performance. ✦ What I offer - Gameplay Systems: design and implementation of robust, modular, and scalable mechanics. - Multiplayer: setup of stable netcode optimized for latency and scalability. - Procedural & Internal Tools: terrain generation, automated pipelines, shaders, workflow optimization. - Performance Optimization: identifying and fixing FPS bottlenecks, ensuring smooth gameplay. - Consulting & Technical Audit: architecture review, strategic recommendations, and tailored solutions. ✦ My added value - A technical and strategic vision, providing guidance that goes beyond implementation. - Proactive problem-solving in performance, architecture, and UX, with multiple solution paths. - Clear and structured communication, delivering measurable outcomes (reports, prototypes, documentation). ✦ Technologies - Unity, Godot, Unreal Engine - Python, C#, C/C++, Lua - Blender - AI and Data Science 💬 Fluent in English & French ⭐⭐⭐⭐⭐ Fast, reliable, and easy to work with