I am a full-stack and platform engineer with 4+ years of experience building scalable Node.js systems across IoT, SaaS, video analytics, and compliance-driven products.
I specialize in high-throughput data pipelines, multi-tenant architectures, and event-driven backend services. My work has included systems processing 10K+ events per minute and platforms handling 50,000+ daily transactions.
I have strong experience with Node.js, Express, Fastify, PostgreSQL, MySQL, MongoDB, Kafka, ClickHouse, MQTT, Docker, and cloud-based deployment workflows. I also enjoy improving performance, reliability, and developer productivity through automation and clean architecture.
A major part of my background is building privacy and compliance features, including GDPR/CCPA workflows, audit trails, encryption, and data retention systems. I am comfortable working in fast-paced environments where security, scale, and maintainability matter.
I have also taken on technical leadership responsibilities, mentoring junior engineers and leading backend delivery for production systems. I like collaborating with cross-functional teams to turn product requirements into robust technical solutions.
I am currently focused on backend and platform engineering opportunities where I can contribute to scalable infrastructure, real-time systems, and high-impact product development.
Promoted from Junior Software Engineer. Led backend development for a next-generation Video AI platform. Designed high-throughput event-driven ingestion pipelines using Kafka and ClickHouse, migrated core services to PostgreSQL, and built scalable distributed backend services with Node.js and Express. Also architected GDPR/CCPA compliance workflows, audit trails, and privacy systems across multiple product lines.
Developed backend systems for a drive-thru analytics platform handling 50,000+ daily transactions across 30+ POS integrations. Built real-time analytics and reporting features, and contributed to a video analytics platform with tenant-based authorization for enterprise clients.
Worked on a production line management system using Node.js, Express, SQL Server, and Sequelize. Improved query performance through indexing and optimization, implemented caching to reduce database load, and delivered APIs for web and mobile applications.
Bachelors Of Computer Science (BCS), Computer Science
Completed a comprehensive computer science curriculum covering programming, algorithms, databases, and software engineering principles. Final year project: Social Media Predictive Analytics System using machine learning and predictive analytics models.
A'Levels, Science and Mathematics
Completed advanced level studies with a focus on science and mathematics.
O'Levels, General Secondary Education
Completed secondary education with a strong foundation in mathematics and science.
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