Machine Learning Engineer & Researcher | Full-Stack ML Deployment | Applied AI
I build and deploy Machine Learning systems end-to-end:
From data pipelines → model training → backend APIs → user interfaces.
I come from a strong research background in generative models and signal/image analysis, and I'm transitioning into industry roles focused on building production-grade AI systems.
- Machine Learning & Deep Learning (GANs, RL, Transfer Learning, Transformers)
- End-to-End AI systems: model training → API deployment → frontend UI
- Image & signal processing (OpenCV, scikit-image)
- Applied optimization, control systems & scientific computing
Machine Learning & AI
Backend & APIs
Frontend & Web
Cloud & Deployment
| Project | Description | Tech |
|---|---|---|
| TrafficSignalControl-RL | Reinforcement Learning agent to optimize urban traffic flow in SUMO | PyTorch, PPO/Rainbow, Traci |
| ACWGAN-SN PRPD Generator | Synthetic PRPD pattern generation with conditional GANs | PyTorch, OpenCV, PRPD features |
| WhatsApp LLM Chatbot | LLaMA/OpenAI-based assistant with FastAPI backend | FastAPI, Webhooks, LLM Inference |
| Lung Ultrasound Classifier | Feature extraction + model training for artifact detection | PyTorch, scikit-image |
🔗 Repos with ⭐ will soon include deployed demos & documentation.
- Deploying PRPD GAN model for live demo (HuggingFace + Gradio)
- Building UI dashboard for RL traffic control results (React + FastAPI)
- Publishing cleaned & production-ready repositories
- Generative modeling (WGAN-GP, ACWGAN-SN, ACGAN)
- Reinforcement Learning for traffic control
- NLP chat assistants for WhatsApp Business API
- Scientific & industrial AI applications
I’m looking for roles such as:
Machine Learning Engineer | Applied AI Engineer | Full-Stack ML Developer
- ✉ Email: *jose.zapana@pucp.edu.pe
- 🔗 LinkedIn: (coming soon)
- 🌐 Portfolio website (coming soon)