Full Stack Developer with 4+ years of experience building scalable web applications and cloud-native systems across React, Next.js, Node.js, and TypeScript — from AI-powered SaaS platforms and RAG applications to fintech products and distributed, event-driven systems on AWS. I care about clean code, performance, and shipping software that actually works in production.
I am a Full Stack Developer with 4+ years of experience building scalable, production-ready web applications using React.js, Next.js, Node.js, and TypeScript. I hold a background in Computer Engineering and a Post Graduate Certificate in Information Technology from Humber College, Toronto. I care deeply about clean code, performance, and building software that solves real problems for real users.
My expertise spans the full stack — from architecting RESTful APIs and event-driven microservices in Node.js to building accessible, responsive frontends with React and Tailwind CSS. I have improved application performance by up to 40% through code splitting, lazy loading, and bundle optimization. My database experience covers PostgreSQL, MongoDB, DynamoDB, MySQL, and Redis, with hands-on cloud deployment across AWS (Lambda, API Gateway, EC2, S3, ECS Fargate, CloudWatch) using Infrastructure as Code (AWS CDK), Docker, Kubernetes, and CI/CD pipelines with GitHub Actions and Jenkins. I also have hands-on experience with the Elastic Stack (Elasticsearch, Kibana) for search and observability.
I have worked at Wouessi Inc. in Toronto, where I delivered and deployed many enterprise-grade frontend and full-stack solutions for multiple clients across fintech, SaaS, and corporate sectors. Prior to that, I built MERN stack applications at AasmaTech and developed React + TypeScript platforms at WebTech Crew supporting thousands of concurrent users.
Beyond my day-to-day work, I build independent, production-grade projects to keep sharpening my craft. OpsBoard is a distributed, event-driven platform I designed and deployed solo on AWS — 16 Lambda functions, a single-table DynamoDB design with atomic counters, an SNS-to-SQS event pipeline with dead-letter-queue handling, ElastiCache Redis caching, and a fully containerized worker on ECS Fargate — with the entire infrastructure defined as code and deployed via a secure, OIDC-based GitHub Actions CI/CD pipeline. MovieMind is a hybrid Vector + Knowledge Graph RAG application combining OpenAI embeddings with Neo4j graph traversal and adaptive query-intent classification — benchmarked at 25% more accurate and 42% more comprehensive than baseline LLM responses. I've also implemented Auth0-based authentication with role-based access control via custom claims.
I am passionate about AI-powered development — integrating OpenAI's API, building real RAG systems, and leveraging tools like Claude Code, Claude, and GitHub Copilot daily to ship higher-quality work faster, while staying fully accountable for every line that ships. I embrace Agile practices, take full ownership of my work end-to-end, and am always looking for the next hard problem worth solving.
Opole University Of Technology - Opole, Poland
Oct 2018 - Dec 2022Humber College - Toronto, Ontario
Jan 2024 - Aug 2025