Engineering Projects
A selection of research and production projects focused on robotics, autonomous systems, and scalable AI infrastructure.
Humanoid VLA: Vision-Language-Action Controlled Robot
Unitree G1 humanoid manipulation system driven by natural-language commands, ACT policies, and a full ROS 2 inference loop.
- —4 single-arm tasks at 86% success, bimanual grasping at 100%
- —Domain randomization: 90% in-distribution to 55% OOD with graceful degradation
- —Natural language parsing into ACT inference at 30Hz through ROS 2
MuJoCo Robotics Lab
A 9-lab journey from planar arms to VLA-controlled humanoid manipulation — building every layer of a robotics stack from first principles in MuJoCo.
- —9 labs progressing from 2-link planar arms to VLA-controlled humanoid manipulation
- —Dual-engine architecture: Pinocchio (analytical brain) + MuJoCo (physics simulator)
- —Sub-millimeter tracking accuracy with computed torque and impedance control
Autonomous Delivery Vehicle - Area99
Last-mile delivery vehicle program spanning chassis integration, Drive-by-Wire controls, embedded systems, and cloud infrastructure.
- —Vehicle Control Unit on STM32 with a CAN bus protocol
- —Compartment control via ESP32 and Micro-ROS
- —Computer vision plus ultrasonic sensor fusion for close-range awareness
BelegPilot: AI Receipt & Invoice Extraction API
Production document extraction API using multimodal models, orchestration, and observability from file upload to structured JSON.
- —Multi-provider LLM integration through LiteLLM
- —AWS deployment pipeline with containerized delivery
- —OpenTelemetry traces for production debugging and monitoring
Energy & EV Forecasting
Forecasting systems for charging-station occupancy, imbalance pricing, and solar production in the German energy market.
- —Production-deployed time-series models
- —MLflow experiment tracking and versioned model promotion
- —Containerized deployment workflows for energy-market forecasting
RAG Configurator: Low-Code Platform for Custom RAG Pipelines
Design, deploy, and test custom RAG pipelines through a visual 9-step wizard. Four microservices, two Vue 3 frontends, 9 agent architectures, full local operation with Ollama.
- —9-step visual wizard for full RAG pipeline configuration — no code required
- —9 agent architectures from Naive RAG to Graph RAG, all built on LangGraph
- —5 chunking strategies and 5 retrieval methods with fine-tuned parameters
Rookie — Personal AI Assistant
A 24/7 personal AI assistant running on a secure VPS, managing Obsidian notes, portfolio website content, emails, calendar, and daily tasks — all through Telegram.
- —24/7 Telegram interface with multilingual support (Turkish, English, German)
- —Automated portfolio content publishing with ISR revalidation
- —Obsidian vault management synced to iPhone via iCloud