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Senior AI Engineer | Generative AI & RAG Expert | Production-Ready AI Solutions Professional Overview I bridge the gap between complex AI research and production-ready applications. With over 6 years of professional software development experience—5 of which are dedicated to Artificial Intelligence and Data Science—I help businesses build, scale, and deploy intelligent systems that deliver actual value. Currently pursuing my second Master’s degree in Data Science at Freie Universität Berlin, I combine academic rigor with a "product-first" mindset. Whether you need a sophisticated RAG (Retrieval-Augmented Generation) pipeline, a custom NLP model, or a full-stack application integrated with LLMs, I have the technical depth to execute it from scratch to deployment. What I bring to your project: Core AI & LLMs: Expert in RAG architectures, prompt engineering, fine-tuning, and deploying Generative AI solutions using state-of-the-art frameworks. End-to-End Development: Unlike many AI engineers, I have a strong background in Mobile (iOS/Android), Game Dev (Unity), and Full-Stack web development. I don't just build the model; I build the product around it. Data Science Pipelines: From data collection and cleaning to model creation and monitoring in production. Technical Communication: As a former Developer Advocate, I excel at creating documentation, demos, and presentations that make complex technical concepts understandable for any stakeholder. Technical Toolkit: AI/ML: NLP, RAG, LLM Integration (OpenAI, Anthropic, Open-source), Data Science Pipelines. Development: Python, JavaScript/TypeScript, Mobile (Swift/Kotlin), C# (Unity). Content: Technical Writing, Mentoring, Slide Design, and Public Speaking. I am not just looking for "tasks"; I am looking to build solutions that work. If you have a vision but aren't sure about the technical feasibility, let’s have a chat and figure out the best path forward for your project.

I build LLM data pipelines, forecasting models, and production APIs for founders and small teams. From one-time analysis to product-grade systems. I co-founded a market-data startup, where I built an NLP pipeline that labels 1.5M+ news articles and shipped a production API. My research on LLM rerankers was accepted at SIGIR 2026, a leading conference for search and ranking systems. I also maintain open-source LLM tools, including a LangGraph agent CLI on PyPI and a local RAG tool with page-cited answers. I have a strong track record in: • LLM data pipelines: classification, labeling, sentiment scoring, and extraction • Production ML systems and APIs (FastAPI, Docker, AWS, Google Cloud, BigQuery) • Forecasting models for sales optimization and budget planning • Dashboards and decision tools • CRM data analysis (HubSpot, Zoho) • RAG systems and LLM agents (LangGraph), with testing and evaluation Founders and team leads typically work with me to: • Replace manual labeling, tagging, or reporting work with automated LLM pipelines • Add an AI feature to an existing product and make it reliable enough to ship • Build forecasting models on transaction, sales, or CRM data • Extract insights from complex data such as transactions, call records, and multi-source attributions • Turn an LLM prototype into a tested, deployed system 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. 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." For larger projects, my usual structure is a short paid discovery to map the problem and the data, then a fixed-price build with clear milestones, so the budget is known before the work starts. Ongoing support is optional after that. If you have an LLM or data problem that needs to work reliably in production, feel free to send a message. I'll be happy to take a look.

I build production-ready AI systems — not just evaluate them. Recent projects: ✔ Customer Intelligence RAG System — NestJS, LangChain, pgvector, Next.js, Docker ✔ SmartWardrobe AI — Flutter, Groq API, real-time outfit recommendations ✔ SmartBeauty Recommender — Python, personalization engine ✔ Distributed Deep Learning — TensorFlow, PyTorch DDP I specialize in LLM orchestration, RAG pipelines, AI agent development, and full-stack AI applications. I work with Python, TypeScript, Flutter, LangChain, and vector databases. Turkish–English bilingual. Fast communicator. I deliver working systems, not prototypes.

I design and build intelligent AI-powered systems that solve real business problems. My focus is on end-to-end solutions — from data ingestion to production deployment. What I do: • AI & LLM Systems — RAG pipelines, intelligent agents, and conversational AI using OpenAI, Anthropic, and open-source models • Knowledge Graphs — Neo4j-based semantic data architectures for complex relationship modeling and contextual retrieval • Workflow Automation — n8n, Inngest, and custom orchestration for business process optimization • Full-Stack Development — Python (FastAPI, Django), React, Next.js, Flutter for web and mobile applications • Data Engineering — Vector databases (Pinecone, Zilliz, ChromaDB), ETL pipelines, and real-time data processing Recent projects include building an AI-powered real estate platform with automated property matching, a municipal data management system processing 50K+ records, and a yacht charter booking engine with dynamic pricing. I work best with clients who need a technical partner, not just a coder. I understand the full picture — from database schema to user experience to deployment infrastructure. Tech stack: Python, TypeScript, React, Next.js, Flutter, PostgreSQL, Neo4j, Redis, Docker, Kubernetes, AWS, n8n, LangChain, OpenAI API

I build production-ready AI-powered applications: from LLM pipelines and RAG systems to full web products with clean APIs and modern frontends. What I work with: AI/LLM: LangChain, LangGraph, CrewAI, LlamaIndex, OpenAI/Anthropic APIs, RAG pipelines, AI agents Backend: Python (FastAPI, Django), Node.js (Nest.js), REST API, PostgreSQL + pgvector Frontend: React, Next.js, TypeScript Infra: Docker, async pipelines, structured output (Instructor) What I actually deliver: AI agents and automation workflows with real business logic Data enrichment pipelines (NER, SERP, LinkedIn, email discovery) Full-stack web apps — spec → architecture → working product LLM integration into existing products I work spec-first: before touching code, I write a clear technical spec. This cuts revision cycles and makes the final result maintainable — not a pile of vibe-coded spaghetti. 5+ years in fullstack, last 2 years focused entirely on AI-first products. If your project needs someone who understands both the AI layer and the full product stack — let's talk. Ivan.

I am a dedicated and innovative generative AI model trainer, specializing in the intersection of visual storytelling and advanced technology. These days, I am focused on segmentation models and their frontend solutions. I have firsthand experience with state-of-the-art segmentation and annotation models, including SAM2.1, Florence2, and Gemini Vision. I craft full stack websites involving visual AI models. Develop and train models. Craft and implement unique and fully developed solutions. AI and Machine Learning Technologies: Deep understanding of advanced techniques and Diffusion models. Custom AI Model Generation: Specialized in generating tailored Custom Models. I trained the 8th first Flux LoRA model on Civitai. Pipeline Development and API Integration: Proficient in creating custom visual pipelines. Experienced deployment history in Replicate, Comfy Deploy, Runpod, Huggingface. Consultancy and Testing: Offering consultancy on AI technologies and custom integration, coupled with comprehensive testing and analysis of AI products. My insights and recommendations are based on thorough analysis and expertise. Additional Skills: Complementary proficiency in Krita enhances my ability to add refined touches to visual content, ensuring a high level of versatility and quality in content creation.