Caner K.

AI Automation Engineer | AI Agents , Python , LLM , n8n , Docker , ETL

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 the intelligent automations and autonomous systems that make that manual workload disappear. ⭐ Top Rated · 100% Job Success · $15K+ Earned · 600+ 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 the extraction logic for each source and solved the anti-bot challenges directly. To keep running costs low, I used AI agents only where deterministic code fell short. Other Featured Engineering Solutions Intelligent AI Chatbots & RAG: Not just simple bots reading memorized scripts, but autonomous systems that read and understand your company's own data. Using LLMs and Supabase's vector database infrastructure, I build context-aware systems that automate customer support. 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. End-to-End ELT: Live Weather Data Warehouse: A production-grade data pipeline that automatically pulls public data and transforms it into an optimized PostgreSQL schema. A robust architecture running 24/7 via systemd, Dockerized, and tested with CI/CD processes. Hardware-Optimized Machine Learning (ML vs DL): A research project benchmarking 6 different models based on hardware costs for sustainable waste management. Instead of heavy models, I delivered MobileNetV2 as a solution integrable into edge hardware—achieving 79.7% accuracy in just 5.3 ms, making it 3.6x faster and 10x smaller. 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. Resilient Backend Architecture: The systems I build are containerized with Docker and include strict quality controls that reduce data loss to zero. ⚙️ 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 (which they do every few months), 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. That's what makes it viable for large companies running data operations at scale — no constant babysitting, and low long-term maintenance costs. Why clients keep working with me: ✅ Fault-tolerant by design: no silent failures, no data loss, no schema drift. ✅ 0–4 hour response time with clear, 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 and let's map out the architecture that fixes it permanently. 🚀 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)