Senior Full Stack Engineer

Architected agent-powered capabilities for an internal content and media platform, spanning frontend interfaces, application state, backend services, APIs, and data storage. Improved asset workflows for 12 enterprise teams and increased workflow efficiency by 30%.

Built a React, TypeScript, Redux, and Tailwind CSS creative editor for previewing, trimming, tagging, and versioning audio, image, and video assets, reducing editing time by 35%. Developed natural-language agent capabilities using model orchestration, tool calling, and MCP integrations.

Implemented Node.js, Express, BullMQ, Redis, and AWS SQS workflows for media generation and transcoding with retries, idempotency, and dead-letter queues, maintaining 99.9% completion across 50K+ daily jobs. Improved platform performance, deployment automation, LLM evaluation, and observability using PostgreSQL, MongoDB, S3, CloudFront, Promptfoo, GitHub Actions, Docker, Kubernetes, Terraform, OpenTelemetry, Datadog, and Sentry.

Led a React-based rebuild of a personal-loan flow that increased completed conversions by 25%. Delivered high-performance Next.js applications with server-side rendering, improving organic traffic and discoverability by 25%.

Launched a production agent using LangGraph, FastAPI, OpenAI, and Anthropic models with tool calling and human approval, resolving 60% of applicant questions without handoff. Built RAG pipelines using pgvector, Pinecone, embeddings, hybrid retrieval, and reranking to achieve more than 90% grounded-answer accuracy.

Orchestrated document extraction through AWS SQS and Lambda, reducing turnaround time from three days to four hours. Established Jest, Pytest, agent evaluations, Terraform-managed AWS infrastructure, Docker, ECS, CI/CD, and testing standards while improving production performance and reducing defects.

Created a Google Ads creation feature that made campaign setup four times faster and saved more than 100 staff hours each month. Built an ad-creative tool enabling marketers to compose image and copy variants with live previews, producing three times more campaign variants per week.

Directed the cross-functional launch of a new website in six weeks. Developed responsive interfaces with React, Angular, TypeScript, and Next.js, supported by a shared library of more than 40 reusable components.

Integrated NestJS and Python services with AWS Lambda and MySQL, and scaled Kafka and AWS SQS event-driven pipelines processing more than 2 million ad-performance events daily. Increased automated test coverage from 45% to 85% with Cypress and Jest, while improving team onboarding through Dockerized environments and reusable UI patterns.

Shipped the greenfield React frontend for DutchiePay, an ACH payments service that became the company's largest revenue stream. Improved payment interaction responsiveness by 20% through Node.js, Java, and gRPC integrations.

Designed GraphQL-powered payment workflows connected to Spring Boot microservices, Kafka events, and PostgreSQL transaction data. Built reusable components, Redis caching, and MySQL-backed state patterns for customer onboarding, account linking, payment setup, and transaction feedback.

Strengthened settlement and webhook processing with retries and reconciliation checks, reducing failed transactions by 35%. Supported secure, HIPAA-aligned handling of sensitive customer and transaction data, with no security incidents during the tenure.

Improved a property-map module to load twice as fast, contributing to a 50% increase in user retention. Built React Native saved-search functionality to provide a consistent cross-platform experience for mobile users.

Refined React rendering and data-loading patterns for interactive, map-heavy, image-rich real-estate workflows. Exposed GraphQL and Python APIs that delivered PostgreSQL property and saved-search data to responsive web and mobile interfaces.

Investigated performance bottlenecks across Angular and React state, SQL queries, network requests, and map rendering. Documented API contracts and frontend patterns, and maintained quality through GitLab collaboration, peer review, testing, and iterative delivery.

Relevant coursework included Software Engineering, Distributed Systems, Database Systems, Web Application Development, Machine Learning, and Computer Networks.