ML engineer & builder — I train models, design agent pipelines, and ship usable products.
Focus: deep learning (audio / multimodal) · reinforcement learning · tool-using LLM agents · full-stack delivery
| Project | What you'll find | Proof |
|---|---|---|
| BirdCLEF | Multi-label bird sound SED — EfficientNet-B0 + attention | Val macro ROC-AUC 0.8529, weights + train/eval/infer |
| BipedalWalker-PPO | Continuous control with PPO (SB3, 1M steps) | Checkpoints + training progression video |
| AlphaMath | Offline math agent: Qwen2.5-Math writes Python → sandbox → self-repair → majority vote | AIMO-style constraints, no external APIs |
| studio2.0 | Personal site & creative portfolio (Next.js, Three.js) | Live: danielsoleimani.ir |
- gesture-canvas-museum — hand-gesture drawing (MediaPipe + Three.js) · demo
- global-iptv-control-center — Next.js + Supabase product · live app
- pygame-2048 — first real Python project, tested + playable demo
Python · PyTorch · timm · Transformers · Stable-Baselines3 · Gymnasium · scikit-learn · SymPy · Next.js · TypeScript · Supabase
- Specify goal, constraints, and metrics
- Build (including AI as a force multiplier where it helps)
- Verify with tests, held-out metrics, and honest limitations
Open to ML engineering, applied AI, and roles where models meet production.
Web: danielsoleimani.ir · GitHub: danielsolo707