About

Software engineer with 5+ years building modern web apps and operating high-throughput, event-driven systems across revenue-critical billing and shared platforms. Delivered successful products and measurable gains in latency, throughput, and reliability while enabling launches and faster incident response. Founder background shipping customer-facing product end-to-end.

Experience

Software Engineer

Stripe

January 2025 - Present

Texas - Remote

Redesigned async billing pipeline (~1.5B events/day; >$1B fees/mo), cutting lag 95% (6h→20m) via service decoupling + queueing (Event Bus, SQS); improved billing freshness and incident recovery.

Refactored fee processing to remove protobuf coupling, cutting fee-calc latency ~250ms and sync/async drift; improved correctness and rollout safety.

Extended the fee reassessment pipeline for next-gen product primitives (v2), enabling launches for crypto balance, stablecoin payments, and agentic commerce while preserving billing correctness.

Drove billing platformization: standardized rollout/backfill patterns and reduced operational risk for launches and migrations.

Software Engineer

Stripe

January 2025 - Present

Texas - Remote

Redesigned async billing pipeline (~1.5B events/day; >$1B fees/mo), cutting lag 95% (6h→20m) via service decoupling + queueing (Event Bus, SQS); improved billing freshness and incident recovery.

Refactored fee processing to remove protobuf coupling, cutting fee-calc latency ~250ms and sync/async drift; improved correctness and rollout safety.

Extended the fee reassessment pipeline for next-gen product primitives (v2), enabling launches for crypto balance, stablecoin payments, and agentic commerce while preserving billing correctness.

Drove billing platformization: standardized rollout/backfill patterns and reduced operational risk for launches and migrations.

Founder + Engineer

Ellis

August 2023 - January 2025

San Francisco, CA - Onsite

Architected a performant customer SPA using React, TypeScript, and Next.js, leveraging SSR and complex state management to deliver a seamless UI for orchestrating massive outreach campaigns.

Engineered a scalable, event-driven outbound email platform (Lambda, SQS, Postgres/Supabase) capable of delivering 1M+ personalized messages daily while maintaining high deliverability.

Shipped end-to-end product iterations (design → build → launch → monitor) with direct customer feedback; cut deployment time 50% via release automation.

Integrated GPT-4 and Claude by building dynamic, real-time React UIs to handle complex streaming data, driving a 40% increase in user satisfaction, scaling to $20K MRR, and securing $250K in funding.

Founder + Engineer

Ellis

August 2023 - January 2025

San Francisco, CA - Onsite

Architected a performant customer SPA using React, TypeScript, and Next.js, leveraging SSR and complex state management to deliver a seamless UI for orchestrating massive outreach campaigns.

Engineered a scalable, event-driven outbound email platform (Lambda, SQS, Postgres/Supabase) capable of delivering 1M+ personalized messages daily while maintaining high deliverability.

Shipped end-to-end product iterations (design → build → launch → monitor) with direct customer feedback; cut deployment time 50% via release automation.

Integrated GPT-4 and Claude by building dynamic, real-time React UIs to handle complex streaming data, driving a 40% increase in user satisfaction, scaling to $20K MRR, and securing $250K in funding.

Software Engineer

Match Group

August 2021 - August 2023

Texas - Remote

Led the development of a centralized safety metrics platform that reduced complex data retrieval times by 80%, significantly accelerating time-sensitive investigations and improving agent SLAs.

Built shared platform services and internal gRPC/REST APIs used across brands to deliver cross-app initiatives (Trust & Safety, profile transfers), reducing duplicated effort and improving consistency.

Centralized cross-brand user data into DynamoDB, Redshift and S3, giving Safety Agents a consistent view to make faster enforcement decisions (ban/escalate) and improve response time.

Modernized internal tooling by shipping .NET 7 AOT for production AWS Lambdas, successfully cutting cold start times by 40% and delivering a more responsive experience for internal teams.

Software Engineer

Match Group

August 2021 - August 2023

Texas - Remote

Led the development of a centralized safety metrics platform that reduced complex data retrieval times by 80%, significantly accelerating time-sensitive investigations and improving agent SLAs.

Built shared platform services and internal gRPC/REST APIs used across brands to deliver cross-app initiatives (Trust & Safety, profile transfers), reducing duplicated effort and improving consistency.

Centralized cross-brand user data into DynamoDB, Redshift and S3, giving Safety Agents a consistent view to make faster enforcement decisions (ban/escalate) and improve response time.

Modernized internal tooling by shipping .NET 7 AOT for production AWS Lambdas, successfully cutting cold start times by 40% and delivering a more responsive experience for internal teams.

Software Engineer

Quorum

October 2020 - August 2021

Texas - Remote

Developed complex, customer-facing web workflows using React and TypeScript, translating intricate product requirements into interactive, highly reusable UI components for an oil & gas software suite.

Designed and optimized robust MSSQL pipelines, including stored procedures, triggers, and views to guarantee reliable data processing and performant reporting across large-scale energy datasets.

Authored automated tests using Jest and React Testing Library alongside backend JUnit tests.

Software Engineer

Quorum

October 2020 - August 2021

Texas - Remote

Developed complex, customer-facing web workflows using React and TypeScript, translating intricate product requirements into interactive, highly reusable UI components for an oil & gas software suite.

Designed and optimized robust MSSQL pipelines, including stored procedures, triggers, and views to guarantee reliable data processing and performant reporting across large-scale energy datasets.

Authored automated tests using Jest and React Testing Library alongside backend JUnit tests.

Education

Master's of Science in Computer Science

Rice University

3.9 / 4.0

Master's of Science in Computer Science

Rice University

3.9 / 4.0

Bachelor's of Science in Computer Science

University of Texas, El Paso

3.9 / 4.0

Bachelor's of Science in Computer Science

University of Texas, El Paso

3.9 / 4.0

Skills

Programming Languages

Java

Javascript / Typescript

Python

Ruby

Go

Tools

AWS

Azure

GCP

Github

Jira

React

Get in touch

My time

3:56 AM
3:56 AM
3:56 AM
Texas, USA