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• 15+ Years Engineering Experience • IBM Certified Data Scientist • Google Certified BI Professional I’m a data scientist with 15+ years of engineering experience and a deep passion for solving real-world problems through data. I help businesses predict outcomes, optimize operations, and automate workflows with custom AI solutions. I have a strong background in R&D, process development, and production, so I know how to build models that actually work in real life. What I Offer: • End-to-End Machine Learning Solutions From raw data to production-ready models, including EDA, feature engineering, modeling, and performance tuning. • AI Agent Development (LLM-powered) GPT-based smart agents to classify, summarize, or route feedback, requests, and operational data. • Forecasting & Optimization Predictive models for demand, process efficiency, and business KPIs, designed with measurable ROI in mind. • Business Process Automation (RPA) Robotic Process Automation certified, using Python to automate repetitive workflows across business functions. • Data Preparation & Insightful Visualization Clean, accurate, and clearly presented. I turn raw datasets into decisions. Communication is just as important as modeling, I do both with care. Whether you need clean models, intelligent automation, or custom AI solutions, I bring deep expertise, clear communication, and a focus on outcomes. 📩 Let’s talk about how we can put your data to work.

As a highly skilled and experienced Python and R developer, bioinformatician, and data scientist, I am passionate about using technology to solve complex problems and uncover insights from large datasets. With a background in Bioengineering degree and data science projects, I have developed expertise in data analysis, visualization, and scripting with Python, R and Bash, and machine learning, including frameworks such as Keras, FastAI, Sklearn, Pytorch and AWS infrastructure. Whether you need help with python scripts, data analysis, bioinformatics, machine learning, or software development, I have the skills and experience to deliver high-quality work that meets your needs. I have a proven track record of delivering projects on time and within budget, and I am always looking for new challenges and opportunities to learn and grow. In addition to my technical skills, I am a clear and effective communicator who is committed to understanding your needs and delivering results that exceed your expectations. I am confident that I can help you achieve your goals and look forward to working with you on your next project.

Are you looking to integrate custom LLM Agents, ChatGPT/Claude/Gemini, or highly accurate RAG pipelines into your systems without the operational complexity? I build deterministic, scalable, and cost-optimized AI solutions that drive real business value—from initial concept to full AWS deployment. I am a Full-Stack AI/ML Engineer who bridges the gap between cutting-edge Artificial Intelligence and robust software engineering. I don't just train models in notebooks; I conceptualize, design, develop, test, refine, and deploy AI systems that integrate seamlessly into your existing software infrastructure. My approach focuses on solving the biggest bottlenecks in modern AI: reducing API costs, eliminating latency, preventing hallucinations, and lowering operational complexity. Whether you need a custom LangGraph multi-agent system, an intelligent CRM integration, or a scalable backend API, I build solutions with scalability, speed, and maintainability in mind. CORE EXPERTISE & HIGH-DEMAND SOLUTIONS I BUILD: LLM Integrations & Advanced Agentic Workflows • API Integrations: Deep expertise in OpenAI's ChatGPT, Anthropic's Claude, Google's Gemini, and open-source models (Qwen, Llama, Mistral). • Agent Architectures: Building complex, multi-agent systems using LangGraph and custom frameworks. • Cost & Speed Optimization: Implementing model routing, response caching, and prompt engineering to keep API costs down while maximizing speed. • Deterministic AI: Forcing LLMs to produce structured, predictable outputs using Pydantic, JSON schemas, and function calling. • Smart Feature Extraction: Offloading tasks from expensive LLMs to efficient algorithms whenever possible to save you money and ensure accuracy. RAG Pipelines & Intelligent Data Processing • Enterprise RAG: Building Retrieval-Augmented Generation systems (document ingestion, hybrid retrieval, response generation) with extreme accuracy and consistency. • Vector Search: Implementing advanced search algorithms using Vector Databases (Pinecone, Chroma, etc.). • Document Parsing & OCR: Extracting actionable data from PDFs, Word docs, Excel, CSVs, and integrating them into your AI systems. AI Automations & Third-Party Integrations • Workflow Automation: Building no-code/low-code pipelines using n8n, Make, and Zapier to create end-to-end AI-powered workflows. • Platform Integrations: Connecting AI agents to Slack, ClickUp, WhatsApp, Twilio, Shopify, Amazon, Monday, Notion, Airtable, HubSpot, Salesforce, Zapier, Make, Google Workspace, Microsoft Teams, Discord, Telegram and existing CRMs to automate business management. • Webhooks & Custom APIs: Developing secure webhooks to route data flawlessly between platforms. Voice AI & Computer Vision • Speech-to-Text & Text-to-Speech: Integrating state-of-the-art voice pipelines (WhisperX, Faster-Whisper, Deepgram, ElevenLabs, Retell, Pyannote for speaker diarization). • Computer Vision: Developing comprehensive Deep Learning solutions including Object Detection (YOLO architectures), Image Classification, Facial Recognition, and Semantic Segmentation (DeepLabV3+). Expertise in PyTorch/Torchvision frameworks and building robust image processing pipelines with OpenCV. Data Science, Predictive ML & LLMOps • Predictive Analytics: Beyond GenAI, I utilize the Python data stack (Pandas, NumPy, Scikit-learn, XGBoost) for deep data analysis, forecasting, and classification on structured business data. • Security & Monitoring: Ensuring enterprise data privacy by deploying air-gapped local LLMs (Ollama, vLLM) and using LLMOps tools (LangSmith) to track agent behavior, rigorously evaluate RAG accuracy, and prevent prompt injections. Full-Stack Deployment, MLOps & Cloud Infrastructure • Backend Development: Writing powerful Python scripts and building ultra-fast APIs with Python FastAPI. • Cloud & DB: Deploying on AWS (EC2, S3, RDS, Lambda) with PostgreSQL and MongoDB architectures. • Containerization & Optimization: Dockerizing applications, utilizing ONNX and Quantization techniques to run heavy ML models on CPU for maximum cost efficiency. • Frontend/Dashboards: Creating interactive UIs with Streamlit for quick demonstrations and internal tools. PROVEN TRACK RECORD: As a graduate of Software Engineering and a highly prestigious, government-backed AI & Technology Academy, I thrive in high-pressure, results-oriented environments. My portfolio includes fully deployed systems such as: • AI-Powered Background Removers with Google OAuth and AWS deployment. • Fine-tuned NLP & RAG systems generating automated test queries. • Full-scale App Review Analyzers using BERTopic and AWS RDS. • Local, offline AI Agents with real-time web search capabilities. Let's Build Something Impactful. I am highly communicative, proactive, and dedicated to solving your specific business bottlenecks. Send me a message, and let's discuss how we can turn your data and ideas into a deployed, revenue-generating AI product.

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.

As a Computer Engineering graduate and current Data Science Master’s student at TU Wien, I combine academic rigor with a hands-on approach to build efficient, Python-based solutions. My background in one of Europe’s leading technical universities has sharpened my expertise in advanced algorithms, machine learning, and complex data structures. I pride myself on being detail-oriented and deeply accountable for outcomes, ensuring that every script, model, or database query I deliver is not just functional, but optimized for long-term success. My Core Skills: Data Science & Advanced Analysis: Proficient in Python (NumPy, Pandas) for transforming raw data into actionable insights. AI & Intelligent Automation: Experienced in developing AI-powered tools, including custom voice assistants integrated with ChatGPT and Bing AI for complex task automation. Database Management: Certified SQL developer (MySQL) with a focus on structured data integrity and efficient querying. Whether you need a robust data analysis script, a custom Python automation, or a scalable SQL database architecture, I approach every challenge as a disciplined researcher and problem-solver. Let’s discuss how my technical background and commitment to excellence can contribute to your next project.

I help founders and teams make data-driven decisions by delivering custom data science pipelines and internal products. I work on custom data analysis, modeling, dashboards, and ML/AI applications. From one time analysis to product-grade systems. I have a strong track record in: • Financial modeling and optimization • Dashboards and decision tools • CRM data analysis (HubSpot, Zoho) • Data aggregation, cleaning, and modeling • LLM APIs and workflow automation • Advertising and marketing analytics Founders and team leads typically work with me to: • Analyze company performance, customer behavior, pricing, and profitability • Build forecasting models for sales optimization and budget planning • Extract insights from complex data such as transaction histories, call records, multi-source attributions, and web page events • Build internal web tools to automate reporting, monitoring, and operational workflows • Develop client-facing data products and custom web platforms I have 3+ years of freelance experience and 5+ years of hands-on data science and analytics. I've worked directly with founders and small teams, and delivered 40+ projects with a 100% success rate. My approach combines data science best practices with practical business thinking. I hold a Master's in Computer Science and a bachelor's degree in business, and I conduct applied research in machine learning for finance and NLP. What previous clients say: "Baris will always be the #1 choice in his category. Great guy. 10/10." "One of the best freelancers I've worked with. He understood quickly what I was trying to build." If you have a data problem that needs to work reliably in production, feel free to send a message. I'll be happy to take a look.