class BenedictThekkel:
title = "Full-Stack / Product Engineer"
trained_as = "Electrical Engineer (UQ, 2024)"
builds = "complete products end to end - device to model"
languages = ["Python", "TypeScript", "C/C++", "SQL"]
backend = ["Django", "Django REST Framework", "PostgreSQL"]
frontend = ["React", "TypeScript"]
infra = ["AWS", "Docker", "Terraform", "Ansible", "CI/CD"]
hardware = ["ESP32", "Arduino", "PCB design", "firmware"]
ml_ai = ["PyTorch", "computer vision", "LLM agents (Ollama)"]
philosophy = "The best systems are invisible to their users."- 🔭 Building production full-stack platforms end to end — schema, auth, REST API, front-end, and cloud deploy (healthcare patient-outcomes platform at Recovery Metrics)
- ⚡ Electrical engineer by training — comfortable all the way down to firmware and PCBs (Phisaver ESP32 IoT switchbox; contributed a firmware feature now running across the deployed fleet)
- 🤖 Growing ML/AI practice — PyTorch & computer vision, plus local LLM agents, a self-expanding knowledge graph, and pgvector search in my Stock Market Analyser
- 🧩 Happiest at the intersection of hardware, software, and ML/AI



