riccardogiro

Quantitative Ai Engineer

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Quantitative AI Engineer & Technical Co-Founder with 6+ years of experience building production machine learning systems for systematic decision-making in trading and commodity forecasting. Demonstrated ability to architect and execute full-stack trading systems, from market data ingestion to live execution and risk monitoring. Track record delivering multi-million revenue streams and seven-figure investments through proprietary ML development. PhD in Information Technology with industrial deployment expertise.

Core Competencies:

Systematic Trading & Alpha Research | Time Series Forecasting | Backtesting & Execution Engines
Python, PyTorch, scikit-learn | Pandas, Polars, NumPy, SciPy, TA-Lib
Market Data Pipelines | Low-Latency Trading Systems | Risk Monitoring | Cost & Latency Optimisation
SQL (PostgreSQL, TimescaleDB, QuestDB, Redshift) | AWS & Linode | Docker, Terraform, CI/CD
Grafana | FastAPI | Looker | Airflow | ML Infrastructure

Experience: 6 years

Yearly salary: $10,000

Hourly rate: $10

Nationality: 🇮🇹 Italy

Residency: 🇮🇹 Italy

Experience

Quantitative AI Engineer, Co-Founder
Proprietary Fund
2024 - 2025
Built full trading technology stack single-handedly: market data ingestion, event-driven backtester with walk-forward validation, live trading engine, and risk/position monitoring; achieved sub-50ms latency. Owned end-to-end quantitative strategy lifecycle across major crypto perpetuals: directional long/short strategies research, feature engineering, backtesting, live model deployment, and continuous risk monitoring with automated controls and kill-switches.
Data Scientist
EdgePetrol
2022 - 2026
Brought £1.5M+ in investment capital through the delivery of 2 proprietary Python data products that became core commercial assets. Reduced AWS spend by $200,000 annually through infrastructure audit, compute optimisation, and resource consolidation.
Data Scientist
Schlumberger Ltd
2021 - 2021
Reduced computational cost and latency by 50% with a novel PyTorch deep learning system for seismic image processing.
Research Scientist
Eni / Politecnico di Milano
2019 - 2021
Generated a seven-figure revenue stream via industrial deployment of proprietary ML models for time series forecasting in oil & gas production; each model achieved >95% prediction accuracy. Designed and deployed a Python ETL pipeline processing 1M+ records/second, migrating 50 TB of legacy data into QuestDB time series database.

Skills

ai
aws
crypto
data-science
finance
quantitative
quantitative-analyst
quantitative-developer
quantitative-researcher
quantitative-trader
research
trader
english
italian
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