I build intelligent systems that bridge hardware and software. Currently focused on reducing hallucinations in task-oriented dialogue via preference-based optimisation, industrial IoT automation, and applied ML for time-series problems.
- 🧠 Lab Rotation 2 @ HHU — DPO-based hallucination reduction on dialogue NLG. Strict preferences beat gold/random by 4–6× on faithfulness; working paper underway.
- 🏭 RIF Institut, Dortmund — Containerised brewery process control: PLC over MQTT, time-series replay via FastAPI + InfluxDB, Streamlit ops dashboards.
- 📈 Side project — TFT + PPO pairs trader: forecasting + RL execution across crypto/equities/ETFs/commodities.
| 🖥️ wattson | DL-workload-aware system monitor — textual TUI with GPU-aware process table, NVML temps, 1 Hz refresh. Active development. |
| 📈 tft-ppo-pairs-trader | Temporal Fusion Transformer + PPO for multi-asset pairs trading. DuckDB · Gymnasium · walk-forward backtesting. |
| 🔧 sensor-anomaly-detection · 🚀 demo | Turbofan engine anomaly detection on NASA C-MAPSS. Isolation Forest F1 = 0.777 + Streamlit dashboard. |
| 🔬 Digital-IC-NN-Duplication | NN-based digital twin for sequential circuits. Published at IEEE 2023. |
| 🖼️ image-downsampling-processor | Verilog low-pass + downsample-by-2 processor, validated against Python reference via SSD. |
ML / Deep Learning
Languages
Data & Infrastructure
IoT · Embedded · Networking
Cloud · Tools
💡 Curious devs: poke around the portfolio — toggle ▮ terminal mode and try help. There are easter eggs.



