Hire the Best Generative Adversarial Network 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.

I am not just an AI Engineer; I am a storyteller who connects the dots between complex data and business growth. With 5 years of hands-on experience and a robust academic foundation in Statistics and Engineering, I specialize in building AI systems that don't just work they innovate. Why work with me? I don’t just deliver code; I translate your high-level business needs into high-performing, production-ready AI systems that solve real-world bottlenecks. My Core Expertise: - AI Solutions: Text analysis & image recognition - AI Search: Smarter answers with RAG & advanced prompt design - Custom AI Models: Tailored GPT, Gemini, LLaMA, Claude & more - Vibe Coding: Cursor, Lovable, Antigravity, etc.. - AI Workflows: Multi-agent automation for complex tasks - Voice AI: Text-to-speech & speech-to-text (AWS, Google, Azure) - AI Visuals: From idea to image using DALL·E, Midjourney, Stable Diffusion - Automation: Zapier, Make, n8n & custom workflows - Smart Pipelines: Event-driven triggers, error handling & smooth operations AI Agents & Chatbots: I build sophisticated multi-agent and RAG frameworks. Examples include E-commerce virtual associates that drive sales and POS customer support agents that handle complex queries autonomously. Text-to-SQL & Analytics: I enable non-technical users to "talk to their data," providing instant, natural-language insights into sales, inventory, and KPIs. Intelligent Automation (n8n): I streamline operations by eliminating repetitive tasks. My AI-powered HR Agent workflow automatically parses, scores, and ranks candidates to find your "best fit" instantly. Computer Vision & OCR: Expert in YOLO and Qwen2.5-VL. I automate data entry from handwritten or digital invoices directly into structured JSON for accounting and inventory software. Full-Stack AI Deployment: I take models from notebooks to production. Expert in the full AI lifecycle, including MLOps, containerization (Docker), and scalable cloud deployment on GCP. The Toolbox: Frameworks: PyTorch, Keras, TensorFlow, Scikit-learn, OpenCV. LLM Ops & Orchestration: LangChain, LangFlow, DSPy, OpenAI API, Apple MLX. Deployment: Docker, GCP, MLOps pipelines. I am dedicated to delivering results that exceed expectations always on time and within budget. Let’s build your success story. Click the 'Invite' button to start a conversation!

I build and ship production AI systems that real users depend on, not demos. RAG pipelines, multi-agent LLM apps, fine-tuned models, and multimodal/OCR extraction, deployed to run 24/7 on Kubernetes and serverless GPU. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Top-Rated Plus | 100% Job Success | 4+ years ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Enterprise-grade AI for multinational companies and startups, including HIPAA-conscious healthcare workflows. I turn complex requirements into intelligent, production-ready applications that drive measurable results. ━━━━━━━━━━━━━━━━━━━━━ WHAT I DO BEST ━━━━━━━━━━━━━━━━━━━━━ Agentic AI & Multi-Agent Systems Custom architectures with LangGraph, CrewAI, and Model Context Protocol (MCP), including self-improving agents that learn from evaluation feedback. Built for real automation, not chatbot demos. Advanced RAG, Evaluation & Observability 10+ production RAG systems (self-RAG, adaptive retrieval), one serving hundreds of users across thousands of documents. Migrated Pinecone to Weaviate for better recall at lower cost. Every system ships with LLM-as-judge, retrieval metrics, and full tracing (LangSmith/Langfuse), so quality is measured, not guessed. LLM Fine-Tuning & Cost Optimization PEFT (LoRA/QLoRA), SFT, DPO, and instruction tuning. Fine-tuned a 7B Arabic model served on autoscaling serverless GPU, plus multimodal vision-language models. Cut client AI costs by up to 40% through open-source replacement and quantization, with no drop in performance. Multimodal & Document AI OCR and document-extraction pipelines across PDF, DOCX, PPTX, Excel, and images, with strong F1 on messy financial and clinical documents. Also built a temporal, multi-hop knowledge graph over an encrypted Postgres + Qdrant store with client-side encryption. AI Automation & Integrations Connecting LLMs to real business systems: n8n, Make (Integromat), Zapier, CRM automation (HubSpot, GoHighLevel, Airtable), Supabase backends, and Twilio/WhatsApp. AI that plugs into how your team actually works. Enterprise Backend & Scalable Infra Master-level Python (FastAPI, Flask), robust CI/CD, and multi-cloud deployment (AWS, Azure, GCP). Docker + Kubernetes with KEDA autoscaling, plus privacy-first, multi-tenant systems (E2EE, RBAC, audit logging), including HIPAA-conscious PHI handling. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TECH STACK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ Agents & LLMs: LangChain, LlamaIndex, LangGraph, CrewAI, MCP, Hugging Face (PEFT/TRL), Ollama, TGI, vLLM ▸ Eval & Tracing: LangSmith, Langfuse, LLM-as-judge, custom eval frameworks ▸ Vector DBs: Weaviate, Pinecone, Qdrant, FAISS, ChromaDB ▸ Models: OpenAI, Claude, Gemini, fine-tuned open-source ▸ Automation: n8n, Make (Integromat), Zapier, Supabase, Twilio ▸ Backend: Python (FastAPI, Flask), TypeScript/Node (NestJS, NextJS), PostgreSQL, MongoDB ▸ MLOps & Cloud: Docker, Kubernetes, KEDA, CI/CD, Airflow, MLflow; AWS (SageMaker, Lambda), Azure ML / Azure OpenAI, GCP, serverless GPU ▸ CV & Data: OCR optimization, vision-language models, Stable Diffusion, web scraping ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHY CLIENTS PICK ME ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ Ships to production. I build AND deploy. You get systems that run 24/7 and scale, not a prototype someone else has to finish. ▸ Proven track record. Top-Rated Plus, 100% Job Success, enterprise and healthcare AI delivered end-to-end. ▸ Innovation-driven. I bring the latest (MCP, adaptive RAG, new model releases) into production. ▸ Cost-conscious. High-performance AI that optimizes spend without compromising quality. ▸ Quality-first. Production-grade code, proper testing, and evaluation built in. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Building an AI product, or need one taken from prototype to production and scaled reliably? Send me the brief and I'll tell you exactly how I'd approach it.

I am the Top 3 percent developer on Upwork having Pink badge, I help clients build products that are sharp, scalable, and results focused. I design and build production-grade AI systems powered by Large Language Models, Retrieval-Augmented Generation, intelligent chatbots, and autonomous multi-agent architectures that go beyond prototypes and deliver measurable business outcomes. My expertise lies in combining advanced AI modeling with scalable system design, enabling chatbots, agents, and multi-agent systems to operate reliably in real-world environments. 🔹 Core Expertise Generative AI Systems LLM integration using OpenAI, Gemini, Claude, and open-source models like LLaMA and Mistral Prompt engineering for deterministic outputs, structured responses, and controlled reasoning Tool-augmented generation and function calling for real-world execution Context management for long conversations and memory-aware systems RAG & Knowledge Systems End-to-end RAG pipelines with vector databases like Pinecone, FAISS, Weaviate Hybrid retrieval combining semantic search, keyword search, and metadata filtering Context optimization like chunking strategies, re-ranking, and compression Knowledge grounding for chatbots and AI assistants to reduce hallucinations AI Chatbots (Advanced) Conversational AI with multi-turn memory and contextual awareness Domain-specific chatbots for customer support, internal tools, and SaaS platforms Stateful chat systems with session memory and retrieval-backed responses Integration with APIs, CRMs, and external tools for actionable conversations AI Agents & Multi-Agent Systems Autonomous AI agents with task planning, reasoning, and tool usage Multi-agent orchestration where agents collaborate, delegate, and validate outputs Workflow automation agents for tasks like lead qualification, research, and execution Event-driven agent systems with feedback loops and self-correction Machine Learning & Deep Learning NLP pipelines, embeddings, and similarity search systems Fine-tuning and domain adaptation for LLMs Recommendation systems and predictive modeling Evaluation frameworks for model performance and reliability 🔹 System Design & Engineering I focus on building end-to-end AI architectures where chatbots and agents are part of a larger, reliable system. Backend systems using Python, FastAPI, Node.js Scalable architectures for chatbot platforms and agent workflows Vector database optimization and retrieval latency tuning Real-time inference systems for conversational AI Secure integrations with third-party APIs and enterprise systems MLOps & AI Infrastructure Deployment on AWS, GCP, Azure with GPU scaling CI/CD pipelines for AI systems and agent workflows Monitoring, logging, and observability for chatbot and agent performance Cost optimization for LLM-heavy applications 🔹 What I Build Intelligent AI chatbots with deep contextual understanding and action capabilities RAG-powered knowledge assistants for enterprises and SaaS products AI agents that automate workflows like lead qualification, support, and operations Multi-agent systems for complex task orchestration and decision-making Document intelligence systems for extraction, summarization, and structured insights AI copilots integrated into products for enhanced user experience 🔹 My Approach I design systems where chatbots and agents are not just interfaces, but intelligent decision layers. Focus on accuracy, latency, and cost trade-offs Build for edge cases and unpredictable inputs Ensure structured outputs for downstream systems Design modular architectures for scaling from single-agent to multi-agent systems 🔹 Differentiation Deep expertise in both LLMs and system-level architecture Experience building real-world chatbot and agent-based systems Strong understanding of multi-agent coordination and workflow automation Ability to convert complex ideas into scalable AI products Product-focused mindset with emphasis on measurable impact 🔹 Tech Stack Python, FastAPI, Node.js, LangChain, LlamaIndex, Pinecone, FAISS, Weaviate, OpenAI, Gemini, Claude, Hugging Face, Docker, Kubernetes, AWS, GCP If you are looking to build advanced AI chatbots, intelligent agents, or multi-agent systems, I can help you design and implement solutions that are technically robust and production-ready. Let us build systems that think, act, and scale.

Do you have an AI vision that needs to become a real, working product? I don't just build models; I engineer complete, scalable solutions that turn data into actionable insights and automation. For over five years, I've specialized in bridging the gap between cutting-edge Artificial Intelligence (AI) research and robust software that delivers real-world value. My core expertise lies in computer vision and machine learning, but my skill set is full-stack. This means I can own your project from the initial data pipeline, through model training and optimization, all the way to deploying a polished desktop application or a secure enterprise API. I thrive on building tools that work seamlessly for end-users, whether it's a retail manager, a traffic controller, or a sports coach. My strongest suit is developing intelligent systems that "see" and understand the world. I've built a retail analytics platform (CrowdIQ) that transforms standard CCTV into a source of business intelligence, tracking customer demographics and behavior. In the sports domain, I created PadelIQ, an analytics engine that uses computer vision to track player movement, posture, and court coverage from match footage, providing real-time coaching feedback. For public safety, I developed a traffic management system (OmniRoad AI) using advanced object detection for real-time accident and congestion monitoring. Beyond computer vision, I architect full-scale data science pipelines. A prime example is my telecom churn prediction project, where I built a machine learning model to identify at-risk customers and paired it with an interactive Power BI dashboard. This end-to-end approach—from data analysis to a clear visualization of insights—ensures the model's findings directly inform business strategy and retention actions. I also develop the tools and infrastructure that power AI applications. I've built secure, enterprise-grade systems like DevelmoGPT, a RAG-based LLM that allows for secure, semantic search over private company documents. From creating simple utilities like PDF-to-audio converters to designing complex role-based access systems, I ensure the foundation of any AI solution is reliable, secure, and maintainable. My process is collaborative and results-driven. I start by deeply understanding your business problem, not just the technical requirement. We'll then iterate through prototyping, development, and testing to ensure the final product not only meets specs but also delivers tangible ROI. I communicate clearly at every stage, providing demos and documentation so you're never in the dark. Let's connect. Share your project idea or challenge, and I'll provide a clear outline of how we can leverage AI, machine learning, or computer vision to build your intelligent solution. Click the invite button to start the conversation. /// The following is just for SEO. You can ignore it /// #computer vision #computer vision engineer #computer vision OpenCV #machine learning computer vision #deep learning computer vision #computer vision machine learning #machine learning python #nlp machine learning

Experienced data scientist with over 4 years of experience in machine learning projects. Active participant on Kaggle, a google backed platform for data science competitions, rated within Top 1% data scientists globally. Have experienced in deep neural networks, convolution neural networks, recurrent neural networks, genetic algorithms, natural language processing, support vector machines, and generative adversarial networks. 𝐒 𝐊 𝐈 𝐋 𝐋 𝐒 ------------------------- 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 : - CNN, - DNN, - RNN/LSTM, - GAN, - Transformers, - Auto-Encoders, - HMM-GMM - SVM, - Boosting, - Random forest, 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 : - C, - C++, - Python, - R, - Matlab, - CUDA(Beginner). 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸/𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 : - Tensorflow, - Tensorflow lite, - Tensorflow js, - Keras, - Pytorch, - RASA, - Pandas, - Scikit-learn, - Open CV, - Tesseract OCR, - Kaldi, - OpenFace, - SpaCy, - NLTK, - Open Pose, - Others as well based on experience. 𝗧𝗼𝗼𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 : - Jupyter-notebook - Google Colab - Pycharm - R-Studio 𝗣𝗮𝘀𝘁 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗼𝗿𝗸 : - Generating karyotype from Chromosome micro slide image. - Identify boundaries of wound and measurement of wound - Extensive object detection, Detection of Sky, Window, Glass, Tree, building. - automated tool for detecting norms and stereotypes in popular culture. - Deep Learning with Image processing for the transformation of style from one image to another. - Mobile embedded object detection model with TF-lite. - Developed an algorithm to generate a 3D model of faces from a single 2D mobile selfie using Python, Convolutional Neural Networks, PyTorch, and CUDA. - Created an algorithm for image and video compression using similarity between images with the help of OpenCV. - Developed an algorithm for the classification of different sounds of drones using MFCC and LPCC features and then SVM and HMM-GMM classifiers. - Created a default loan predictor algorithm with 99.4% accuracy using Python and deep neural networks. - Created an optical character recognition for English language using Python and OpenCV,. - Extracted the Legos from the videos and the classify it into 52 different classes using the convolutional neural network using Python. - Worked on the CNN based binary text classification for the movie reviews to identify the positive and negative reviews with neural networks and Python. - Developed an algorithm for moving object detection, which can find a moving object in a vibrant environment using deep neural networks, OpenCV, and Python. - Many other projects I have worked on. Few of them are signed with NDA. I shall be glad to provide any information/clarification that you might need to make a better decision. If you like my work. Please Direct Message me OR invite me to your job. I will happy to connect and take your project to success. Thanks for taking the time to read through my profile. Looking forward to talking to you. Thanks