I build intelligent systems that connect AI, data, and hardware — combining deep learning, embedded control, and real-time data pipelines.
My focus is turning machine learning research into deployable edge and robotics solutions that perform efficiently in real-world environments.

• Applied Deep Learning: Computer vision, CNNs, Transformers, optimization, inference acceleration
• Embedded AI & Robotics: Edge deployment, microcontroller integration, control algorithms
• Data Engineering: ETL pipelines, data cleaning, visualization dashboards (Python, Pandas, Plotly)
• Software & Tools: Python, C/C++, TensorFlow, PyTorch, OpenCV, ROS, Docker, FastAPI

• 🧩 AI-Robotics Integration – deep learning vision + embedded control for robotics platform
• ⚙️ Edge AI Deployment – optimized CNN model on microcontroller for object tracking
• 📊 Data Visualization Pipeline – real-time telemetry dashboard for robotics data streams
• 🤖 Automation Toolkit – open-source collection of ML utilities for hardware systems

I’m passionate about bridging theory and implementation — guiding ideas from algorithm design to hardware realization.
Currently exploring opportunities to contribute to society and research institutions, building intelligent systems for the next generation of automation and IoT.

📫 Connect with me

• LinkedIn → linkedin.com/in/felixsetiono
• Email → felixyustian@gmail.com