Machine Learning Engineer | Data Scientist | MLOps & Production ML | GenAI (RAG/LLMOps)

I build production-grade ML systems end-to-end—from data pipelines and feature engineering to model training and deployment-ready inference services. My focus is on measurable outcomes, reproducibility, and operational excellence.

• 🔬 End-to-End ML Engineering: Data pipelines → Feature engineering → Model training/validation → Production deployment
• 🤖 GenAI & LLMOps: RAG systems with retrieval + reranking, evaluation harnesses, prompt engineering, and auditable outputs
• ⚙️ MLOps & Platform Engineering: CI/CD, Docker/Kubernetes, monitoring, model versioning (MLflow, DVC), and infrastructure as code
• 📊 Data Engineering: PostgreSQL, ETL/ELT, data quality frameworks, and dataset curation
• ☁️ Cloud & Infrastructure: AWS (ECS, ECR, ALB), Terraform, Kubernetes deployment patterns

• 🏗️ Founder & Lead AI Engineer at Neuromorphic Inference Lab (Open Source Initiative)

  • Building production RAG services with citation/audit trails and regression-style evaluation harnesses
  • Deploying ML systems to AWS with CI/CD quality gates and operational telemetry
  • Improving data processing efficiency by 30% through optimized ETL and reproducible builds

• ⚡ Technical Operations Lead at E-Distribuzione S.p.A. (Enel Group)

  • Operationalizing predictive analytics for grid operations (LV/MV fault detection)
  • Sustaining 99.9% operational uptime through robust batch inference workflows
  • Leading technical teams and establishing execution cadences for operational stability

Languages

ML/AI

MLOps & Infrastructure

• 🎓 MSc, Data Science and Artificial Intelligence – University of Liverpool (exp. Aug 2027)
• 🎓 Postgraduate Certificate, Data Science and AI – University of Liverpool (May 2026)
• 🎓 MSc, Management and Innovation – Mercatorum University (Dec 2024)
• 🎓 BSc, Psychological Sciences and Techniques – Mercatorum University (Feb 2023)

✅ Full-Stack Software Developer (IBM) – Jan 2026
✅ Python (Kaggle) – Aug 2025
🔄 AWS Certified Machine Learning Engineer - Associate (MLA-C01) – In Progress
🔄 Google Professional Machine Learning Engineer – In Progress
🔄 AWS Certified Data Engineer - Associate (DEA-C01) – In Progress
🔄 Certified Kubernetes Administrator (CKA) – In Progress
🔄 HashiCorp Certified: Terraform Associate – In Progress

🥇 Innovation Challenge Winner – Enel (Feb 2017)
Awarded for proposing an AR-enabled smart helmet solution to monitor subcontractor work quality and enhance operational safety compliance.

• 🌍 Former City Coordinator at Plastic Free – coordinating volunteer-led environmental clean-up initiatives and mobilizing community participation
• 📚 Continuous learner with a bias for systems thinking, operational rigor, and engineering excellence

⚡ "Strong bias for measurable outcomes, reproducibility, and operational excellence."