Open to opportunities

Andrew Gonzales

@andrewgonzales1

Message

I build backend, data, and LLM systems for high-volume production platforms.

United States

Message

What I'm looking for

I'm looking to own end-to-end backend, data, and AI systems, partnering closely with product, analytics, and operations teams on high-scale, ambiguous problems.

At PrizePicks, I build real-time player projection services, LLM orchestration, and RAG pipelines that ground sports insights in verified datasets and live game state.

I develop Kafka and AWS ingestion pipelines, automated data-quality frameworks, and PostgreSQL optimizations across billions of player and game records. My work has cut reporting latency by over 45% and reduced live-event MTTR by over 40%.

Previously at Amazon, I delivered high-traffic retail and logistics systems spanning React interfaces, Python and Java services, streaming data platforms, and ML-driven analytics. At Groupon, I built Python marketplace microservices supporting 10K+ requests per minute while improving latency, release cycles, testing, and incident response.

I own systems end to end—from schema design, ingestion, and APIs through deployment, observability, cost optimization, and technical mentoring.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

PrizePicks

Nov 2024 - Present (1 year 9 months)

Build real-time player projection services and lead LLM orchestration infrastructure, designing RAG pipelines and high-throughput Kafka ingestion. Optimize PostgreSQL schemas and improve observability, reducing MTTR by over 40%.

Python SQL LLM RAG Kafka AWS PostgreSQL Redis fastAPI GraphQL REST Docker Kubernetes Terraform CI CD OpenTelemetry Prometheus Grafana Datadog A B Testing

Software Development Engineer II

Amazon

Mar 2018 - Oct 2024 (6 years 7 months)

Led end-to-end development of high-traffic retail features across the stack, designing scalable microservices and building predictive analytics tools. Improved API latency by ~25% and reduced MTTR by ~30% through observability enhancements.

Python Java React Next.js Redux Django fastAPI Spring Boot REST gRPC AWS Docker Kubernetes Terraform CI CD Cloudwatch Prometheus Grafana Pandas NumPy scikit learn Agile Scrum

Software Development Engineer

Groupon

Sep 2012 - Feb 2018 (5 years 5 months)

Designed and developed scalable Python microservices for a local commerce marketplace, maintaining 99.9% uptime. Optimized service performance and reduced release cycle time from 5 days to 2 days.