Building and shipping AI-native products in recruiting and workflow automation, focused on turning LLM capabilities into reliable production systems.

Designed and launched an end-to-end resume-to-job matching engine that parses unstructured PDFs, extracts structured signals, ranks candidates against live listings using semantic similarity, and generates tailored application assets. Built with attention to evaluation, output quality, and real-world usability

Leading a cross-functional team of 5 across engineering, design, sales, customer success, and marketing. Driving product direction, technical architecture, customer feedback loops, and go-to-market execution. Comfortable operating in ambiguity and taking systems from zero to shipped ( O → 1 )

Full-stack ownership across Next.js (App Router), TypeScript, authentication, Firebase, LLM APIs, and AWS serverless infrastructure (Lambda, API Gateway). Designing structured data pipelines, API contracts, and LLM orchestration layers with telemetry. Implemented structured logging, distributed tracing (AWS X-Ray), and monitoring to track latency, failure modes, token usage, and model performance across the stack.

Focused on observability, debugging workflows, and cost-aware scaling

Partnering directly with businesses to deploy AI into live workflows, recruiting ops, lead qualification, document processing, and internal decision systems, balancing speed with long-term system integrity

Bridging prompt engineering with disciplined software engineering to build AI-native applications that are measurable, debuggable, and scalable.

Built and led full-stack systems powering internal tools, real-time operations, and customer-facing features for a fast-moving commerce-meets-content platform. My work enabled brand partnerships, merchandising, seller onboarding, content operations, and end-user shopping experiences, bridging creative teams, distributed systems, and business outcomes.

Highlights:

* Developed internal platforms used by brand and merchandising teams to configure personalized storefronts, control product drops, and optimize performance using event data.

* Built tools and experiences used by creative and seller teams to manage shows, drops, and auction flows, from product ingestion to show publishing.

* Created reliable, scalable ingestion pipelines using Go, AWS Lambda, ElastiCache, and SQS, syncing product and content data from Shopify and Sanity into Algolia with support for full reindexing and real-time updates.

* Implemented search and recommendation systems with Algolia and Segment, tuned for ranking, typo tolerance, and traffic-source personalization.

* Supported ops and support teams through diagnostic tools, custom admin dashboards, and smarter observability via Grafana and logging.

* Helped scale both Remix and Next.js applications, ensuring server-side rendering, testability, and component modularity as the platform evolved.

Domains touched:
E-commerce infrastructure, internal tooling, content ingestion, search and discovery, live media ops, personalized UIs

Tech Stack:
Go, TypeScript, React (Remix/Next.js), Algolia, Shopify Admin API, Segment, AWS (Lambda, S3, SQS, Step functions, ElastiCache, API Gateway ), Sanity, Tailwind PostgresDB, MySQL

I modernized the TESLA automation platform, the internal system T-Mobile engineers relied on to simulate and validate 4G and 5G network configurations before major launches.

I led the migration from legacy jQuery to Vue.js, building interactive dashboards and inline report editors that gave engineers a faster, cleaner way to track results and format findings. The interface adhered to T-Mobile's design and accessibility standards while dramatically reducing manual work.

On the backend, I connected Flask and FastAPI microservices to multiple internal and vendor systems. I automated the reporting pipeline, eliminating manual updates to leadership and freeing engineers to focus on testing rather than paperwork.

Tech stack: Vue.js, Flask, FastAPI, Python, Jenkins, Azure, REST APIs, Redis, CKEditor, Accessibility/UX Compliance