Meneghetti
Substance over spectacle.
The engineering mindset.
I started building production ML systems from scratch at 20 · no playbook, just hard problems and the need to ship. Full lifecycle ownership: architecture, training, MLOps, live deployment on AWS. I care about systems that are observable, maintainable, and actually used.
Cloud Practitioner · CLF-C02
Full-stack ML engineering.
Things I've actually shipped.
Prism · ML Classification Engine*
Production-grade pipeline for high-throughput classification. Ingestion, feature engineering, quantized ONNX INT8 inference serving millions of records.
Atlas · Enterprise AI Assistant*
Agentic RAG platform with semantic retrieval and a self-improving feedback loop. 1st prize, Innovation Challenge 2024.
Sentinel · Industrial Safety Vision*
Real-time computer vision for workplace safety: hazardous behaviour, missing PPE and fall detection from existing cameras. No hardware replacement.
PrepWise · AI Study Planner
The Motion AI for university students: AI-driven scheduling, spaced repetition and adaptive workload planning around real deadlines. Co-founded with a team of four; scope delivered, project closed.
Motorsport Telemetry Suite
Unsupervised ML driving coach · K-Means segments lap data into 5 objective driving phases from speed, throttle, brake and RPM. Drivers argue about feel; I wanted numbers.
↗ github