Building Real-Time Collaboration with CRDTs
A deep dive into conflict-free replicated data types and how we used them to build sub-50ms collaborative editing at scale.
I architect and ship scalable web platforms with a focus on performance, reliability, and clean system design.
Principal Full-Stack Architect with 10+ years designing scalable platforms across healthcare, fintech, and logistics. I own architecture end-to-end, from system design and API contracts to cloud infrastructure and production delivery, making the technical decisions that keep systems fast, reliable, and easy to evolve. I've shipped AI-powered products from concept to production, automated credentialing pipelines that cut processing time by 99%, and modernized legacy systems without a single service disruption.
What I have shipped on my own terms.
Modernized a legacy Apache Wicket platform using Spring Boot, Angular, and Docker Swarm, delivering scalable, modular full-stack applications.
32+ tools and technologies across the full stack, from pixel-perfect frontends to scalable infrastructure.
Hover to explore — push them around
Leading full-stack development of healthcare technology products at DentalXChange, architecting scalable microservices, AI-powered automation systems, and distributed event-driven platforms that dramatically reduced processing times and modernized legacy infrastructure.
Built full-stack enterprise applications for a logistics technology company, developing email systems, data mining pipelines, and automated document generation services across Node.js, Python, and Java.
Delivered live, project-based full-stack development instruction through world-leading universities via 2U, training 500+ students across 14 cohorts and 4 countries over nearly 7 years with a 4.9/5 NPS rating while continuously evolving curriculum from traditional web development through AI-assisted engineering.
Contributed to high-performance computing research by building GPGPU simulation tools in C++ and Java, and developing automated data analysis pipelines in Python that dramatically accelerated researcher workflows.
Internship
The foundations behind the work
M.Sc. in Computer Science
Grade: 3.82/4
B.Sc. in Computer Engineering
Grade: 3.7/4
A deep dive into conflict-free replicated data types and how we used them to build sub-50ms collaborative editing at scale.
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