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I help AI teams improve model performance through structured evaluation, error detection, and rubric-based scoring. My background combines large-scale research operations, data validation, and AI response evaluation workflows. I specialize in reviewing LLM outputs for: • Intent alignment and task adherence • Logical consistency and hallucination detection • Rubric-based scoring (quality, relevance, safety) • Edge case identification • Structured written feedback for model refinement I have worked on data-intensive projects where consistency, precision, and guideline adherence were critical. I am comfortable reviewing high volumes of outputs while maintaining objective standards and documentation clarity. I approach AI evaluation analytically — focusing on measurable quality signals rather than subjective impressions. If you need someone who can systematically review outputs, flag failure modes, and provide clear evaluation rationale, I’m ready to contribute.

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.

Professional Summary: Results-driven Electrical Engineer and Senior AI Consultant with extensive experience in technical auditing, workflow optimization, and large-scale data evaluation. Expert in analyzing complex business requirements and translating them into scalable, automated workflows. Currently contributing to high-impact international AI projects via OneForma and Centific, specializing in: LLM Training & Evaluation: Precise fine-tuning and RLHF (Reinforcement Learning from Human Feedback) to enhance model reasoning. Technical Data Verification: Rigorous validation of engineering/technical outputs to ensure 100% accuracy. AI Orchestration: Automating processes using Python and advanced LLM frameworks. I bridge the gap between complex engineering domains and AI model reliability. If you need a consultant who understands the technical "why" behind the data, I am ready to collaborate. Core Expertise: LLM Evaluation & RLHF Technical Data Validation Python & Workflow Automation Electrical Engineering Principles Strategic Consulting

AI & Machine Learning Specialist with expertise in Data Analysis and Computer Vision I am an AI and Machine Learning specialist with hands-on experience in developing deep learning models, image processing pipelines, and data-driven solutions. I have worked on advanced research projects at Yıldız Technical University Applied Artificial Intelligence Lab, including collaborations with CERN and TÜBİTAK, where I applied convolutional neural networks (CNNs) to analyze over 1M jet images from particle physics experiments. In addition, I gained industry experience at Pi Robotik, where I built real-time image processing systems using HALCON and MVTec DL Tool for automation and manufacturing. Whether you need AI model development, machine learning pipelines, or computer vision solutions, I can deliver efficient and scalable results tailored to your project needs. Skilled in Python, TensorFlow, Keras, OpenCV, HALCON Strong background in Data Analysis, Model Optimization, and Image Processing Experience delivering both research-grade and industry-grade AI solutions