I am a Senior Full Stack Engineer with 7 years of experience situated at the intersection of enterprise-grade stability and cutting-edge AI automation. My career has been defined by a transition from building high-concurrency Java/Spring Boot ecosystems to architecting modern, high-performance TypeScript frontends and RAG-integrated AI pipelines.
I specialize in finding data-intensive bottlenecks and reducing operational overhead — historically by as much as 70% — through custom automation tools and cloud-native architectures.
From provisioning automated pre-production environments on Azure/AWS to delivering WCAG-compliant, accessible UIs for institutional clients like the Washington State Board (SBCTC).
I don’t just call APIs — I build data processing pipelines. Hands-on with training NLP workflows, manually structuring vector datasets for RAG, and deploying local LLMs for unstructured data problems.
Zero-cost architecture — Cloud Run + Cloudflare, tuned for a true $0 ops footprint (cost optimization at the core).
Live production SaaS for tax filing and appointments: zero recurring infra spend while staying secure and scalable.
Ensemble CV + Flask API — cosine NN retrieval with demographic-aware search pruning.
A high-precision image recommendation engine that uses a multi-model ensemble for visual similarity, demographic markers, and occasion context.
Hybrid on-chain + IPFS — ~95% lower storage cost vs naive all-on-chain metadata.
Community-driven news verification dApp: Proof-of-Reputation voting and Sybil-resistant jury mechanics.
Open to collaboration
Building the future, one line at a time. Whether you're shipping a product, scaling a team, or exploring something ambitious — I'd love to hear from you.
