I’m Joshua Owens, a full-stack developer and backend platform engineer with 9+ years of experience building secure, scalable production web applications and services. I focus on pragmatic system design across Python and FastAPI, TypeScript and React/Next.js, REST APIs, PostgreSQL, and cloud platforms, with an emphasis on reliability, performance, and maintainability. I also build AI-enabled products—especially RAG and LLM orchestration—by integrating leading model providers, implementing robust evaluation and CI/CD quality gates, and ensuring safety, groundedness, and cost/latency controls. Across teams and launches, I partner with product, security, operations, and research to deliver measurable outcomes and ship confidently using observability, testing, and thoughtful architecture.

Joshua Owens

I’m Joshua Owens, a full-stack developer and backend platform engineer with 9+ years of experience building secure, scalable production web applications and services. I focus on pragmatic system design across Python and FastAPI, TypeScript and React/Next.js, REST APIs, PostgreSQL, and cloud platforms, with an emphasis on reliability, performance, and maintainability. I also build AI-enabled products—especially RAG and LLM orchestration—by integrating leading model providers, implementing robust evaluation and CI/CD quality gates, and ensuring safety, groundedness, and cost/latency controls. Across teams and launches, I partner with product, security, operations, and research to deliver measurable outcomes and ship confidently using observability, testing, and thoughtful architecture.

Available to hire

I’m Joshua Owens, a full-stack developer and backend platform engineer with 9+ years of experience building secure, scalable production web applications and services. I focus on pragmatic system design across Python and FastAPI, TypeScript and React/Next.js, REST APIs, PostgreSQL, and cloud platforms, with an emphasis on reliability, performance, and maintainability.

I also build AI-enabled products—especially RAG and LLM orchestration—by integrating leading model providers, implementing robust evaluation and CI/CD quality gates, and ensuring safety, groundedness, and cost/latency controls. Across teams and launches, I partner with product, security, operations, and research to deliver measurable outcomes and ship confidently using observability, testing, and thoughtful architecture.

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Experience Level

Expert
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Expert
Expert
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Intermediate
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Work Experience

Senior Full Stack Engineer at Accenture
October 1, 2024 - Present
Architected a secure RAG web platform using Python, FastAPI, Next.js, REST APIs, embeddings, hybrid vector search, and document-level RBAC to reduce knowledge-retrieval time by 42%. Engineered a provider-independent LLM orchestration service integrating OpenAI, Anthropic, and Azure OpenAI with retries, token controls, and fallback rules to reduce integration effort by 35%. Established automated evaluation and CI/CD quality gates for groundedness, citation accuracy, safety, latency, and cost, reducing validation from three days to under six hours. Led architecture reviews and delivery planning across engineering, AI, cloud, security, and product stakeholders, improving retrieval precision by 18% and delivering three releases on schedule.
Backend Platform Engineer at Scale AI
November 1, 2022 - September 1, 2024
Orchestrated a distributed multimodal task-assignment backend using Python, microservices, transactional workflows, and REST APIs, increasing assignment throughput by 32% and reducing queue wait time by 27%. Hardened workflow services with idempotency, retries, backpressure, and event-driven state management, decreasing stalled or duplicate tasks by 38% during high-volume processing. Developed an LLM evaluation platform for pairwise ranking, rubric-based reviews, dataset exports, and model benchmarking, shortening evaluation dataset release cycles by 35%. Partnered with research, product, operations, and quality teams across four launches to translate requirements into scalable production workflows and reduce late-stage changes by 20%.
Software Engineer at Stripe
February 1, 2020 - October 1, 2022
Modernized recurring billing and failed-payment recovery using Python, Java, Node.js, event-driven microservices, and configurable retries, improving eligible-payment recovery by 5.4%. Safeguarded financial state transitions with idempotency keys, durable event processing, invariant validation, and controlled retries, reducing duplicate workflow execution by more than 90%. Automated transaction and settlement reconciliation with Python normalization, SQL, layered matching, and checkpointed batch processing, resolving 93% of standard records and cutting processing time by 48%. Instrumented payment services with distributed tracing, dashboards, and discrepancy alerts while collaborating with product, risk, compliance, and operations teams, reducing mean time to resolution by 35%.
Full Stack Engineer at Coding ZEAL
August 1, 2017 - January 1, 2020
Delivered a multi-tenant SaaS platform using React, Node.js, PostgreSQL, and REST APIs with background jobs, reducing repetitive administrative work by 35% for client operations teams. Consolidated tenant-aware access, RBAC, and configurable workflows into shared services, decreasing client-specific code duplication by 30% while preserving data isolation. Refactored React forms, tables, validation, and API integrations into reusable components, shortening feature-development cycles by 25% across client implementations. Optimized an e-commerce application with code splitting, image optimization, CDN delivery, caching, and request consolidation, reducing page-load time by 38% and checkout defects by 32%.
Junior Web Developer at PLEXIS Healthcare Systems
October 1, 2016 - July 1, 2017
Implemented Python, Java, and JavaScript enhancements for healthcare claims intake, validation, and exception routing, reducing incomplete submissions by 18%. Expanded unit and integration test coverage with more than 40 regression tests for claims and workflow rules, decreasing recurring defects by 25%. Resolved frontend, backend, and SQL defects while optimizing search and filtering queries, improving claim-processing performance by 30%. Translated healthcare requirements into 12 production-ready workflow enhancements with senior developers, business analysts, and QA, achieving 95% first-pass acceptance.

Education

Bachelor's Degree in Computer Science at Southern Oregon University
September 1, 2012 - September 1, 2016

Qualifications

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Industry Experience

Software & Internet, Healthcare