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  • Joined Jan 22, 2026

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Patrick-Oduor/README.md

Hi, I'm Patrick Oduor | Full-Stack Product Engineer πŸš€

I specialize in architecting high-performance ERP systems and automated growth engines. My work focuses on bridging the gap between complex backend logic (Financial Forensics, RBAC, Automation) and premium, conversion-centric user experiences.


πŸ› οΈ Featured Systems

Enterprise-grade property management with a focus on financial integrity.

  • Core Tech: Next.js 15+, MongoDB, Twilio SMS.
  • Key Innovation: Integrated M-Pesa STK Push reconciliation, revenue intelligence tracking, and forensic audit logging.
  • Security: SMS-based identity recovery with infrastructure-level rate limiting.

Luxury Wellness CRM designed as a self-sustaining acquisition engine.

  • Core Tech: Next.js 15+, SendGrid API, MongoDB.
  • Key Innovation: Proprietary Tier Evolution Metric for automated retention and a viral "Gift-to-Acquisition" loop.
  • Security: Custom RBAC middleware for strict management/client data isolation.

πŸ—οΈ Engineering Philosophy

I build with a Product-First mindset. Whether it's implementing rate-limiting to protect API costs or designing viral loops to lower customer acquisition costs (CAC), I ensure that every line of code serves a business objective.


⚑ Tech Stack & Tools

  • Languages: JavaScript (ES6+), TypeScript
  • Frameworks: Next.js 15+ (App Router), React
  • Backend: Node.js, Mongoose, NextAuth.js
  • Services: Twilio (SMS Auth), SendGrid (Email API), M-Pesa (FinTech)
  • Design: Tailwind CSS, Framer Motion

πŸ“« Let's build something elite: Email Me

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  1. rental-management-system. rental-management-system. Public

    A high-performance Property ERP & Tenant Experience Platform architected with Next.js. Engineered to unify automated M-Pesa financial reconciliation, forensic-level audit logging, and a seamless ma…

    JavaScript

  2. serene-oasis serene-oasis Public

    Elite Next.js wellness ecosystem powered by a Tier Evolution Engine. Optimized for high-velocity business growth, sales force automation, and algorithmic customer retention.

    JavaScript