Caner K.

Your business runs on data — leads, contacts, metrics — but it's scattered across sites, sheets, and tools. Someone on your team is still copying this data by hand, moving it around, or manually responding to customers. I build intelligent automations and autonomous systems for data-heavy B2B operations — lead generation, research and enrichment, and healthcare and professional-services data. ⭐ Top Rated · 100% Job Success · 631 hours delivered Hi, I'm Caner 👋 My foundation is in mathematics and data science. It's how I first learned to code — and it grew into building production-grade data architectures, AI agents, and automation systems. That's how I work: precise, structured, and built so nothing breaks silently in the background. 🚀 A recent result: I built a custom extraction system that collected and enriched 100,000+ contacts across 19 data fields (1.9 million data points in total). By hand, that's over 2 years of full-time work. I engineered each source's extraction logic and the anti-bot handling myself. To keep running costs low, I used AI agents only where deterministic code fell short. Other Featured Engineering Solutions Intelligent AI Chatbots & RAG: Systems that answer from your own documents with the source attached, and refuse when the answer isn't there. On 42 labelled questions, mine refused all 12 it couldn't support; without the guard it invented answers to 11. Cost-Aware AI Enrichment Pipeline: A smart n8n routing pipeline where 59% of the data is processed with deterministic code (regex, APIs), and LLMs are only called for the complex fields that rules can't solve. This architecture cut operational LLM costs by 69%. Lossless & Self-Healing Webhook Integration: A data receiver architecture operating with 0% data loss in a 1,000+ event test where standard endpoints lost 19.7%. A Dockerized, self-healing FastAPI/Python infrastructure offering a one-click replay feature. CI re-runs the experiments on every push and fails if the README numbers drift. ML vs Deep Learning, benchmarked on cost: 6 models over 4,752 images, accuracy and compute measured together. ResNet50 led at 85.8%; MobileNetV2 shipped — 3.6× faster, 10× smaller, six points behind. How I Build Systems AI and Chatbot Development: By connecting OpenAI / Claude / Gemini APIs to your own data, I build AI agents with measured retrieval quality that cite sources for every answer they give. Advanced Data Pipelines: I clean, structure, and securely transfer data from APIs or web scrapers to your CRM or data warehouse using n8n and Python. The Data Auditor Mindset: In data engineering, blank is better than wrong. I build validation layers and grounding constraints so the system refuses rather than guesses — 12 of 12 unsupported questions declined in my open-source assistant. If a signal isn't verified, it doesn't enter your CRM. Autonomous Execution & Async Communication: I don't rely on endless discovery calls. I operate strictly async—delivering documented architectures, Loom video walkthroughs, and solving roadblocks independently so you can focus on your core product. ⚙️ I build what actually fits, not the flashiest option. Sometimes the solution isn't a complex AI model; it's a cheap and fast classic block of code. Sometimes, instead of using five different SaaS tools, it's building a clean data pipeline or a single "source of truth". I will tell you honestly what your project needs and keep your costs down in the process. 🏗️ Built to maintain, not to throw away. Each data source is engineered as a reusable module, not a disposable one-off script. When target sites change their structure, updating the whole system takes only a few days instead of a rebuild from scratch: what would be a 3-4 month rebuild becomes a 1-2 week update. Why clients keep working with me: ✅ Fault-tolerant by design: no silent failures, no data loss, no schema drift. ✅ Autonomous problem-solving, clear and honest communication. ✅ Delivered exactly what's promised, on time. What clients said: "I have worked with a lot of contractors on Upwork over the last several years. I can say unequivocally that Caner is the most skilled and detailed developer I have ever worked with... His technical knowledge borders on genius. If you need an Agent to help with your automation, you would be making a big mistake not hiring Caner." If your data processes or lead operations are creating manual workloads or your systems are suffering from hidden data loss, send me a message with a quick overview of your bottleneck. I will review it and reply with a free architectural roadmap before we ever start a contract. 🚀 Also work across: data engineering and ETL · data science and analysis (Pandas, SQL, PostgreSQL) · machine learning and deep learning (TensorFlow, scikit-learn) · LLM systems, AI agents and chatbots (OpenAI, Claude, Gemini, RAG) · workflow automation (n8n, Python) · containerisation and deployment (Docker, CI/CD)