AI Engineer
&
Full Stack Developer
Building intelligent systems that bridge the gap between machine learning and scalable web applications
About Me
Building cognitive products that feel delightful, dependable, and deeply intelligent.
I blend machine learning research with battle-tested software craftsmanship. From architecting multi-cloud data platforms to launching immersive web experiences, I thrive on shipping systems where inference, automation, and human insight work in harmony. My stack of choice pairs Go + FastAPI backends with modern Next.js frontends, all instrumented with observability, CI/CD, and security by default.
Production-grade intelligence
Shipped transformer workloads, vector search, and real-time inference APIs that power adaptive experiences for millions of users.
End-to-end product delivery
Architected resilient platforms across Go, TypeScript, and Python with CI/CD, observability, and zero-downtime releases.
Reliable automation
Containerized microservices, ephemeral preview environments, and GitOps workflows that keep teams shipping fast and safely.
What drives me
Translate research-grade models into robust APIs with clear SLAs and rock-solid monitoring.
Design human-centered experiences that make complex data feel intuitive and actionable.
Mentor teams to ship faster with automation, testing, and platform thinking as first principles.
Years leading products
8+
Deployments automated
120+
I obsess over the craft: from clean abstractions in Go and TypeScript to resilient data pipelines in Python, every layer gets the same level of care. Whether it’s orchestrating vector databases, tuning inference latency, or designing interaction models, I’m driven by outcomes that compound value for teams and users alike.
Featured Case Studies
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The journey continues with additional experiments, lightning-fast prototypes, and thoughtful engineering tailored to scale.
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