My quant development expertise comes from 8+ years of active market experience and a track record across high-stakes environments. Each role taught me critical skills I now apply to building robust algorithmic trading systems.
Each career phase developed specific skills that make my trading systems more robust
Managing construction projects taught me to design for failure modes and scale. I now apply this to trading infrastructure: planning for 3x load, calculating resource constraints, and building systems that don't collapse under volatility.
Built and governed the firm's data infrastructure from scratch: real-time WebSocket ingestion, performance-critical pipelines with full auditability, and high-availability decision-support systems on PostgreSQL and TimescaleDB — for futures, FX, crypto, and equities.
Productized proprietary trading algorithms end-to-end: API data ingestion → signal generation → automated execution with dynamic risk management. Custom bot solutions for private clients across futures, FX, crypto, and equities — engineered for high availability and observability.
Bottom line: 8+ years of market experience building systems where failure isn't an option — from research to execution.
Get battle-tested tools and templates for building robust algorithmic trading systems
Complete 47-point checklist to ensure your trading systems are production-ready before real capital is at risk
Calculate the exact ROI of your quant infrastructure investments in minutes
5 proven architecture templates for research, backtesting, and live execution stacks
See exactly how much downtime and bad data could be costing your trading operation
* Results are estimates based on typical improvements seen in similar projects. Actual results may vary depending on your specific infrastructure and requirements.
Let's discuss your strategy and create a system that survives real money
Most projects completed in 6-10 weeks
Systems built to survive real markets
Post-launch support and documentation
Let's discuss how we can build robust algorithmic trading systems together — from research to execution.
Want to learn more about my services?
Robust algorithmic trading systems — engineered from research to execution. Not just strategies: the full infrastructure that takes an idea from hypothesis to live trading with real capital.
I build trading systems where failure has real consequences:
Systems designed to survive the market — with failover, quality gates, and monitoring from day one
Ideas validated rigorously before a single dollar is at risk — then executed with discipline
8 years of active market experience — walk-forward, out-of-sample, and sensitivity testing before anything goes live
The difference: an attractive backtest is cheap. I build systems that stay honest when assumptions change — and survive live markets.
Ready to build trading systems that work when real money is on the line?
Quantitative Developer with 8 years of active market experience — focused on turning trading logic into systematic, validated, and executable systems, from research to live execution.
I spent four years in construction project management learning how systems fail under pressure. Then came the markets: from building a fintech group's trading data infrastructure from the ground up, to productizing my own algorithms and automating client strategies across futures, FX, crypto, and equities.
The pattern is clear: I've always worked where reliability isn't optional and every decision is backed by data. Construction taught me to design for failure modes. Trading taught me that validation is non-negotiable — a strategy is not robust simply because it produces an attractive backtest.
I specialize in quantitative research, backtesting workflows, and automated execution — testing strategies out-of-sample, with walk-forward validation, sensitivity analysis, realistic costs, and risk controls built in.
Open to full-time Quantitative Developer roles and select consulting engagements — with prop firms, systematic trading teams, and trading technology companies.












