Business Thinking Came First
My foundation is in Business Administration (DBA) and Entrepreneurship. It shaped how I think about incentives, models, and decisions before writing code.
Quant System Designer (ML/RL-focused) | Algorithmic Trading Systems Designer
I work at the intersection of markets, data, and execution architecture.
I work at the intersection of markets, data, and execution architecture.
I design quant systems that survive real-world conditions.
My focus is turning trading ideas into real systems: decision logic, risk layers, monitoring, and continuous optimization loops.
My Story in Four Chapters
This is a growth story: from business modeling to building software systems that survive real scale.
Then I Built in Real Environments
At Soodo, as a Quant & Algorithmic Trading Systems designer, I design and build data-driven tools and algorithmic trading systems. I also built a full clinic platform for a busy OB/GYN practice, now evolving into Cliniclick.
The Pattern Became Clear
The best outcomes happen when business decisions, data, and product execution live in one system. Great code alone is not enough; decision structure matters.
How I Help Today
I work with founders and teams as a strategic partner: bringing clarity to hard decisions, structure to growth, and alignment between vision and execution.
What You Get in Engagements
- A clear action map from ambiguity to execution
- Architecture that can absorb product growth
- Lower technical debt while keeping delivery speed
- Technical choices aligned with business reality
Domains I Know Deeply
- Fintech and data-heavy systems
- Health product operations and clinic workflows
- Growing SaaS teams that need resilient architecture
- Builders who value both structure and depth
Quant Problems I Solve
From Strategy to Live System
- Convert strategy concepts into testable decision logic
- Design data flow, feature layers, and signal-quality validation
- Connect decision outputs to order execution and state control
Risk, Monitoring, and Resilience
- Build risk guardrails for drawdown, stop logic, and liquidation protection
- Implement live monitoring with operational thresholds and alerts
- Set retraining and optimization loops to adapt to market drift
I engage as a technical partner, not just a developer. That means clarity, architecture, and execution ownership in one line.
If you are building something meaningful in fintech, health, or data-driven environments, let's talk
One focused quant architecture call is enough to identify your core bottleneck and the correct next build phase.
Book a Quant Architecture Call