Hire the Best Semi-Supervised Learning Specialists

Hi, I am Omer Faruk — a Computer Vision expert with a PhD in the field and over 15 years of hands-on experience bridging academic research and real-world AI solutions. My work spans from implementing cutting-edge academic papers to deploying production-ready AI systems. 🎓 Academic & Computer Vision Background My research foundation is deep and practical: ➡️ Developed a GAN-based facial image augmentation approach using latent space exploration via GAN inversion — outperforming existing methods in the literature as part of my PhD thesis. ➡️ Performed 3D facial expression recognition using point clouds and surface patches, achieving superior emotion recognition accuracy by combining both modalities. ➡️ Published multiple papers on skin lesion classification and segmentation in top-tier journals, achieving state-of-the-art performance on well-known benchmarks in the medical imaging literature. 🤖 Generative AI (Image & Video) ➡️ Stable Diffusion, Flux Dev / Schnell / Pro, DALL·E, Midjourney, ControlNet, ComfyUI, HunyuanVideo ➡️ Fine-tuning Flux models using Replicate and Fal ➡️ Deploying generative pipelines on cloud GPU providers like RunPod and Modal 🧠 Large Language Models & AI Agents ➡️ Integrating and deploying GPT-4, Claude 3 (Haiku, Sonnet, Opus), Llama, Mistral, Falcon, Gemma ➡️ Building intelligent agent pipelines with LangChain, CrewAI, AutoGen ➡️ Custom Model Context Protocol (MCP) server development 🗣️ Voice AI & Conversational Agents ➡️ Production-grade voice agents with VAPI, Bland AI, Pipecat AI, Air.ai ➡️ Real-time audio via WebRTC and WebSockets ➡️ Text-to-speech integration: ElevenLabs, Coqui, Bark ➡️ OpenAI Realtime Audio / Speech-to-Speech API 🔍 RAG & Vector Databases ➡️ End-to-end RAG pipelines for document Q&A, semantic search, and knowledge-grounded chatbots ➡️ Vector stores: Pinecone, Weaviate, FAISS, ChromaDB, PGVector 🖥️ Local LLM Deployment ➡️ Model quantization — GGUF, GPTQ, AWQ, INT4/INT8 for memory-efficient inference ➡️ GPU/CPU offloading strategies for running large models on constrained hardware ➡️ Serving via Ollama, LM Studio, llamacpp, vLLM, Text Generation Inference (TGI) ➡️ Model sharding, layer offloading, KV cache optimization ➡️ Context window management for production-grade private AI deployments 🛠️ Tech Stack ✔️ Computer Vision → OpenCV, PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, SciPy, Pandas, Matplotlib ✔️ Generative AI → Stable Diffusion, Flux, ComfyUI, ControlNet, HunyuanVideo, DALL·E, Midjourney ✔️ LLMs & Agents → LangChain, CrewAI, AutoGen, MCP, GPT-4, Claude 3, Llama, Mistral, Gemma, Falcon ✔️ Local LLM → Ollama, LM Studio, llama.cpp, vLLM, TGI, GGUF, GPTQ, AWQ ✔️ RAG & Vector DBs → Pinecone, Weaviate, FAISS, ChromaDB, PGVector ✔️ Voice AI → VAPI, Bland AI, Pipecat AI, ElevenLabs, Coqui, Bark, WebRTC ✔️ Cloud & GPU → RunPod, Modal, Replicate, Fal, HuggingFace If you're looking for a specialist who combines deep academic expertise in Computer Vision with modern Generative AI and LLM capabilities, let's connect. I'm ready to take on challenging problems and deliver quality results.

✅ Top 1% part of Upwork's Expert-Vetted program | NO AGENCY SOLO DEVELOPER 🎖️ 8 years+ of experience in Data Science 🏅 180+ Upwork Projects 💯 Less than 1 Hour Response time My specialty is to take your business problem and find a suitable end to end solution using AI and programming tools from Python, R, JavaScript programming languages. My extensive experience and wide skillset from data acquisition, model training to production grade application or REST API development will save you time and costs (material or psychological i.e. trying to find developers to make MVP, organize and support communication within team). AI Agentic systems are overtaking markets with potential impact on various businesses and creating opportunities to utilize. My skills in AI Agentic system development using Langchain, LangGraph, CrewAI, Autogen, RAG, MCP, Retell.ai, Elevenlabs will give you opportunities to cut costs and optimize your business operations. My skills include machine learning, deep learning, computer vision, web scraping, data engineering, web development, and data visualizations. I can create interactive web applications and dashboards using Python's Dash framework and R's shiny package so you will be able to observe, analyze and present various aspects of your business and other activities in practical ways. My expertise also includes the development of graphical user interface GUIs with Python's Kivy framework. In Computer Vision, my skills include image classification, object detection, and image segmentation with Python tools such as Tensorflow, Keras, CNNs (LeNet, AlexNet, VGG1619, InceptionV3, ResNet50), SSD, YOLO, TFOD, and Mask R-CNN. Importantly, I have skills in math and statistics essential for understanding processes behind code and interpreting outcomes from it. I have done my MBA with a focus on data science. I have been working as an accountant for around five years, including a member of the Big Four and as Data Scientist in a local IT company focused on DS. Thus, I understand finance from theoretical and practical sides and can apply code to analyze vast amounts of financial or other data efficiently. Considering my previous experience, my domain knowledge in finance, marketing (CTR, CLV), process optimization, and other business areas, I will focus on understanding your business goals and implementing solutions to make them come true. My skills include: ✅ Data Science ✅ Machine Learning ✅ Deep Learning ✅ Algorithmic Trading ✅ Generative AI ( Langchain, IIamaIndex, LangGraph, LangSmith, HuggingFace, StableDiffusion, Midjourney, OPEN AI, CHAT GPT4, CHAT GPT3.5, Mistral7B, Gemini, Cursor, Ollama, CrewAI, AutoGen, MCP, Google MCP Toolbox for Databases) ✅ Prompt Engineering (ICO, TESSA, ReAct, Chain of Thought, Map Reduce, Refine) ✅ AI Agents, Inbound & Outbound & Batch Calls, Chatbots, RAG, Conversational Agents, VAPI, Retell.ai, make.com, gohighlevel, n8n, telnyx, twilio ✅ Full Stack Development (React, React Native, Next.js) for AI integration ✅ Interactive Visualizations/Dashboards ✅ Data Engineering (MySQL, MongoDB, PostgreSQL, BigQuery, Oracle, SQLServer, Pinecone, ETL) ✅ Python, R, SQL ✅ Object Oriented Programming (OOP) ✅ PEP-8 (pylint, isort, flake8, autopep, black, docstrings, pydocstyle, mkdocs) ✅ Web development (interactive dashboards Dash) ✅ Bot Development (Telegram) ✅ Graphical User Interfaces (GUI) Kivy ✅ Big Data (Spark) ✅ Recommender Systems ✅ DevOps (ML Deep Learning model deployment on cloud, TDD, AWS, GCP, Azure, Docker, REST API) ✅ OCR ✅ Computer Vision ✅ Audio Processing ✅ Natural Language Processing NLP (Bert, fastText, Langchain) ✅ CNN (LeNet, AlexNet, VGG1619, InceptionV3, ResNet50) ✅ Object Detection (R-CNN, SSD, YOLO, TFOD API) ✅ Image Segmentation (Mask R-CNN) ✅ Transfer Learning ✅ Time Series Analysis (ARIMA, SARIMA, LSTM, PROPHET) ✅ OpenCV ✅ Educational Tutorials ✅ Web Scraping ✅ Web Crawling ✅ API Clients ✅ Keras, Tensorflow, PyTorch ✅ Dash, Shiny, Plotly, Streamlit, React, Next.js ✅ Pandas, Numpy, Scipy, Scrapy, Selenium, requests, ggplot2 ✅ IOT (Raspberry Pi) ✅ REST API (Google Ads, Google Analytics, FB/META API, Stripe, CCXT, OPEAI etc.) ✅ REST API development (Flask, FastAPI)

⭐⭐⭐⭐⭐ 5.0/5.0 Ex-Amazon, Ex-Adobe Top 1% Expert-Vetted on Upwork —. 150+ AI projects shipped at 5/5 stars and 100% Job Success. Advisor to venture-funded AI startups. I architect production LLM agents, RAG systems, and voice AI for teams that need senior thinking and staffing. 𝗪𝗛𝗔𝗧 𝗜 𝗗𝗘𝗦𝗜𝗚𝗡 ✅ Multi-agent systems on LangGraph, OpenAI Agents SDK, and Google ADK — with MCP and A2A interop for tool use, memory, and cross-framework orchestration ✅ Production RAG with hybrid search, Voyage rerank-2.5 / Cohere Rerank v3.5, agentic retrieval, citation enforcement, and RAGAS evaluation ✅ Voice AI agents on LiveKit Agents + Pipecat with Deepgram Nova-3, Cartesia Sonic-3, ElevenLabs Flash v2.5 — sub-300ms end-to-end latency ✅ LLM fine-tuning and adapter training (LoRA, QLoRA, DoRA) with Unsloth, Axolotl, TRL on Llama 4, Qwen3, Mistral, DeepSeek ✅ Time-series and forecasting systems (TimeGPT, PatchTST, Prophet) for trading, demand, and operations ✅ Computer vision and generative imaging/video (SAM 3, YOLO26, Flux, Veo 3.1, Kling 3.0, Runway Gen-4.5) 𝟮𝟬𝟮𝟲 𝗦𝗧𝗔𝗖𝗞 GPT-5.5, Claude Opus 4.7 / Sonnet 4.6, Gemini 3 Pro, Llama 4, DeepSeek V3.2 · LangGraph, OpenAI Agents SDK, Google ADK, Pydantic AI, DSPy · LlamaIndex, Haystack · pgvector, Qdrant, Pinecone, Weaviate, Milvus · LangSmith, LangFuse, Arize Phoenix · vLLM, SGLang for self-hosted inference · AWS Bedrock, Azure AI Foundry, Vertex AI · Python, FastAPI, Node.js, TypeScript, Next.js · MCP servers and A2A agent communication 𝗕𝗘𝗬𝗢𝗡𝗗 𝗧𝗛𝗘 𝗖𝗢𝗗𝗘 I bring senior product and people leadership — having managed engineering organizations approaching a thousand people and led products from idea to end-of-life. I speak on AI and entrepreneurship at conferences and podcasts, and advise venture-funded AI startups on architecture, hiring, and go-to-market. 𝗖𝗥𝗘𝗗𝗘𝗡𝗧𝗜𝗔𝗟𝗦 ▸ Top 1% on Upwork — Expert-Vetted, Top Rated Plus, 100% Job Success Score ▸ 150+ AI projects shipped at 5/5 stars ▸ Ex-Amazon, Ex-Adobe, Ex-Accenture ▸ Mentor and advisor at multiple venture-funded AI startups ▸ Speaker and panelist on AI and entrepreneurship ▸ Founding partner at a boutique AI engineering studio — Frankfurt and US team 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 Senior engineering and architecture only. Engagements typically begin with a paid 1–2 week discovery sprint to scope architecture, model selection, and milestones — then fixed-scope delivery with weekly demos. I work async-friendly across EU and US time zones and turn down work that doesn't merit senior attention. If you're shipping AI to production and need an architect who's done it 150+ times, message me with what you're building.

I am a Senior Data Scientist with over 16 years of experience specializing in Generative AI, Machine Learning, and analytics within the telecom industry. My expertise includes building production-grade AI and NLP solutions, implementing Retrieval-Augmented Generation systems, and developing LLM-powered assistants. I have a track record in churn analytics and predictive modeling, enabling organizations to drive strategic insights and enhance customer retention. I excel in leading cross-functional teams to ensure scalable architecture and impactful business outcomes. Proficient in Python, PySpark, and various machine learning frameworks, I bring a robust engineering mindset to model deployment. If you seek a knowledgeable partner to elevate your data science initiatives, let's connect and discuss how I can contribute to your success.

Greetings, I am a Senior AI Engineer specializing in Machine Learning, Deep Learning, Federated Learning, LLMs, and AI Automation. I focus on building scalable, secure, and production-ready AI solutions that solve real business problems. My core strength lies in designing end-to-end AI systems, from data processing and model development to deployment and automation. I have strong experience in LLM-based RAG systems, computer vision, and privacy-preserving AI using Federated Learning. I also work on enhancing AI security through Blockchain integration where applicable. Key Expertise: Generative AI and Automation * LLMs, RAG systems, chatbots * AI workflow automation and integrations Advanced AI * Federated Learning * Secure AI systems with Blockchain integration Machine Learning * Regression models, Decision Trees, SVM * Ensemble methods: Random Forest, Gradient Boosting (XGBoost) * Probabilistic and distance-based models (Naive Bayes, KNN) Deep Learning * ANN, CNN, RNN, LSTM, GAN * Model optimization and deployment Computer Vision * Image classification, object detection, segmentation I am passionate about collaborating with clients to deliver robust, efficient, and future-ready AI solutions. If you are looking for a Senior AI Engineer who combines research-level expertise with real-world implementation, I would be happy to discuss your project.

AI / ML / Agentic AI LLM / Langchain / RAG Bots AI / Machine Learning & Computer Vision specialist with hands-on experience building, training, and deploying deep learning models for real-world applications. I specialize in YOLO-based object detection/segmentation and image processing, with a strong background in PyTorch, TensorFlow, and OpenCV, Plus modern RAG and agentic AI LLM systems using LangChain and LangGraph. Key Expertise YOLO Object Detection & Segmentation: Custom training/tuning (YOLO v8–v12), dataset prep, evaluation, and edge AI deployment on Jetson Nano. RAG & Agentic AI: Retrieval-augmented generation with LangChain/LangGraph, vector stores (Pinecone, ChromaDB), tool use, memory, and guardrails. Recommendation AI Engine Systems. Model Deployment & Optimization: Packaging for production (REST), quantization/acceleration where applicable; VM-based deployments. Full Pipeline Development: Data collection → labeling → training → testing → Flask/FastAPI REST APIs → monitoring. MLOps & CI/CD: Experiment tracking, versioning, reproducible workflows, and automated delivery with GitHub/GitLab. API Integration & Apps: Secure API integration with third-party services; Flutter front-ends that consume ML APIs. Cloud & Storage: AWS S3 for datasets/artifacts; deployable on cloud VMs or on-prem. Frameworks & Tools PyTorch, TensorFlow/TFLite, OpenCV, scikit-learn, Pandas, NumPy LangChain, LangGraph, RAG, LLM, Pinecone, ChromaDB Flask, FastAPI (REST API deployment) Databases SQL, MySQL, PostgreSQL, Supabase GitHub, GitLab (MLOps/CI-CD) Google Colab / Jupyter Notebook AWS S3, VM-based deployments React & Flutter (client apps & dashboards)