About Me

I'm a solution architect building bridges between complex technical systems and real-world problems.

As a passionate builder of digital experiences, I specialize in creating elegant solutions to complex problems through thoughtful design and engineering. Over the past decade, I've worked with startups and enterprise companies to build products that millions of users rely on every day.

My approach is simple: understand the problem space, identify user needs, and craft solutions that are both technically excellent and easy for people to use. This philosophy has driven me to build products across artificial intelligence, fintech, and sustainability domains.

Technical Journey

Enterprise Solutions Architect

GlobalTech Solutions • 2020 - Present

New York, NY (Remote)

Led architecture design for mission-critical systems handling 10M+ transactions daily. Introduced reactive architecture patterns reducing latency by 40% while scaling to 10x capacity.

Lead Full-Stack Developer

GreenFuture Technologies • 2017 - 2020

San Francisco, CA

Developed AI-powered climate modeling platform used by 300+ organizations. Led a team of 8 engineers while integrating machine learning models into the platform's core API.

Senior Software Engineer

FinFusion • 2014 - 2017

London, UK

Architected next-generation financial API supporting 50+ banks. Implemented robust fraud detection systems processing over a billion transactions annually.

Technical Toolkit

Back-End Development

Node.js Go Python

Infrastructure

Docker Kubernetes Terraform

Modern UI

React Vue.js Tailwind CSS

AI & Data

TensorFlow Python PyTorch

Development Philosophy

Sustainable Design

Prioritize performance and maintainability in every architecture decision. Create solutions built to last across technological cycles.

User Empathy

Every technical decision is viewed through the lens of user impact. I believe great engineering means understanding human needs.

Continuous Learning

The tech landscape evolves rapidly, and so do I. Daily learning, weekly experiments, and quarterly deep dives are standard practice.