I bridge the gap between complex data technology and strategic business decisions.
While many focus on just "building features," I focus on building Revenue Engines—designing automated systems that ensure every marketing dollar is trackable, every lead is accounted for, and every decision is backed by clean, audited data.
I specialize in the intersection of Software Engineering and Growth Strategy:
- Marketing Data Intelligence: Expertise in auditing complex attribution models (First-touch to Multi-touch) to eliminate budget waste. [cite_start]I solve "True Blind Spots" in multi-device and multi-identity user journeys.
- Engineering for Growth: Building custom internal tools (CRMs, Dashboards, Tracking Webhooks) that off-the-shelf software can't handle.
- Operational Automation: Using AI-driven development to build high-performance, resource-optimized systems in record time.
- [cite_start]Lead Stewardship: Implementing "Anti-Loss" systems and Identity Stitching to ensure lead-to-revenue continuity.
I use technology as a lever to solve business problems, not just to write code.
- Languages: Python (Data/Automation), JavaScript/TypeScript (Web/Backend), Bash (System Infra).
- Engines: Node.js, Flask, Socket.io (Real-time systems).
- Data & Ops: PostgreSQL (Supabase), Redis, Docker, Git, CI/CD.
- Specialty: High-speed development through AI-Augmented Engineering.
Though most of my production code is in private enterprise repositories, here is the logic I build:
A deterministic execution engine for Binance Futures, optimized for low-resource environments.
- Impact: Reduced RAM usage from 71% to <2% while maintaining sub-second execution.
- Stack: Python, Termux/LXC.
A backend solution to solve attribution loss in non-linear user journeys (Paid → Organic → WA → Reg).
- [cite_start]Impact: Decreased attribution "blind spots" by 10–20% through identity mapping and backend lookup logic.
- [cite_start]Logic: Implemented Identity Stitching to link leads across different devices and contact numbers.
I am at my best when solving "impossible" tracking problems or untangling messy management data.
"I don't just build systems; I build clarity."