Senior Backend-Focused Full Stack Engineer
10+ years delivering scalable APIs, distributed systems, and cloud-native backends. Deep hands-on experience with AI/ML, LLMs, RAG pipelines, and blockchain infrastructure in production.
About Me
I'm a senior backend-focused full stack engineer with 10+ years of experience delivering production systems across healthcare, fintech, real estate, and e-commerce at companies including Thoughtworks, Kraken, and BigCommerce.
I own end-to-end delivery—from architecture and data modeling to shipping and postmortems—while staying comfortable partnering with front-end, product, and security stakeholders. My recent work spans integrating LLMs and RAG pipelines into production, owning high-throughput blockchain deposit infrastructure, and tuning database performance under extreme load.
I write clean, testable code, lead architecture reviews, and mentor engineers on scalable design patterns. I thrive in remote-first, async-heavy environments and care deeply about reliability, observability, and thoughtful system boundaries.
Microservices, REST & gRPC APIs, event-driven design, idempotency, and distributed systems at scale.
RAG pipelines, LLM APIs, vector databases (Pinecone, Weaviate), and reliable ML data pipelines in production.
AWS (S3, Lambda, EC2), Kubernetes, Docker, and CI/CD pipelines for multi-environment deployments.
Observability with Prometheus, Grafana, Datadog, ELK; distributed tracing; proven track record of reducing latency.
Core Skills
Career
Portfolio
Production systems built across healthcare, fintech, real estate, and enterprise e-commerce — each with measurable outcomes.
Thoughtworks × Medical Provider Client
Built a Python and FastAPI pipeline leveraging LLMs to structure unstructured medical notes with ~80% higher accuracy. Added retrieval-augmented generation (RAG) with Pinecone for accurate extraction across thousands of documents per day.
Less manual processing time
Higher extraction accuracy
Fewer processing failures
Thoughtworks × Real Estate Platform
Built a Node.js and Python backend serving personalized property recommendations from real-time user behavior signals. Lowered recommendation latency by 60% with asynchronous, event-driven processing and a layered Redis cache.
Latency reduction
Less DB lock contention
User engagement lift
Kraken — Cryptocurrency Exchange
High-throughput Go and Kafka pipeline for real-time cryptocurrency deposit detection and ledger attribution. Idempotent, versioned ledger updates tolerated out-of-order events with 100% data integrity.
Traffic spikes absorbed
Tx bottleneck cut
Data integrity maintained
BigCommerce — E-Commerce Platform
High-availability authentication stack in Java and Spring Security for 800+ concurrent logins/minute. Hierarchical RBAC and audit logging for 30,000+ enterprise users; eliminated 95% of session cache race conditions.
Concurrent logins
Enterprise users
Fewer surprise logouts
Education
The University of Texas at Austin
Get In Touch
Open to senior backend engineering, staff engineer, and technical lead roles. Remote-first. Available for a conversation about your next big challenge.
Whether you have a backend challenge, a technical leadership gap, or just want to talk architecture — I'm happy to chat.
