About
Software engineer (backend + platforms) with 5+ years building and operating high-throughput, event-driven systems across revenue-critical billing and shared platforms. Delivered 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.
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
Built and operated an event-driven outbound platform (Lambda + SQS + Postgres/Supabase) delivering 1M+ personalized emails/day.
Owned deliverability + reliability (rate limiting, backoff, idempotency, monitoring/alerting, safe rollouts), reducing failures at high volume.
Shipped end-to-end product iterations (design → build → launch → monitor) with direct customer feedback; cut deployment time 50% via release automation.
Integrated GPT-4/Claude/LLaMA into production; improved user satisfaction 40%, scaled to 20+ customers ($20K MRR), and raised $250K (accelerator + pre-seed).
Raised $XXX,000 in pre-seed funding and secured $125K investment through Launch Accelerator.
Founder + Engineer
Ellis
August 2023 - January 2025
San Francisco, CA - Onsite
Built and operated an event-driven outbound platform (Lambda + SQS + Postgres/Supabase) delivering 1M+ personalized emails/day.
Owned deliverability + reliability (rate limiting, backoff, idempotency, monitoring/alerting, safe rollouts), reducing failures at high volume.
Shipped end-to-end product iterations (design → build → launch → monitor) with direct customer feedback; cut deployment time 50% via release automation.
Integrated GPT-4/Claude/LLaMA into production; improved user satisfaction 40%, scaled to 20+ customers ($20K MRR), and raised $250K (accelerator + pre-seed).
Raised $XXX,000 in pre-seed funding and secured $125K investment through Launch Accelerator.
Founder + Engineer
Ellis
August 2023 - January 2025
San Francisco, CA - Onsite
Built and operated an event-driven outbound platform (Lambda + SQS + Postgres/Supabase) delivering 1M+ personalized emails/day.
Owned deliverability + reliability (rate limiting, backoff, idempotency, monitoring/alerting, safe rollouts), reducing failures at high volume.
Shipped end-to-end product iterations (design → build → launch → monitor) with direct customer feedback; cut deployment time 50% via release automation.
Integrated GPT-4/Claude/LLaMA into production; improved user satisfaction 40%, scaled to 20+ customers ($20K MRR), and raised $250K (accelerator + pre-seed).
Raised $XXX,000 in pre-seed funding and secured $125K investment through Launch Accelerator.
Software Engineer
Match Group
August 2021 - August 2023
Texas - Remote
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.
Led development of a safety metrics platform, reducing data retrieval time 80% for Safety Agents and speeding time-sensitive investigations and response.
Centralized cross-brand user data into DynamoDB/Redshift/S3, giving Safety Agents a consistent view to make faster enforcement decisions (ban/escalate) and improve response time.
Shipped .NET 7 AOT for production AWS Lambdas, cutting cold starts 40% and improving responsiveness for internal tooling.
Software Engineer
Match Group
August 2021 - August 2023
Texas - Remote
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.
Led development of a safety metrics platform, reducing data retrieval time 80% for Safety Agents and speeding time-sensitive investigations and response.
Centralized cross-brand user data into DynamoDB/Redshift/S3, giving Safety Agents a consistent view to make faster enforcement decisions (ban/escalate) and improve response time.
Shipped .NET 7 AOT for production AWS Lambdas, cutting cold starts 40% and improving responsiveness for internal tooling.
Software Engineer
Match Group
August 2021 - August 2023
Texas - Remote
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.
Led development of a safety metrics platform, reducing data retrieval time 80% for Safety Agents and speeding time-sensitive investigations and response.
Centralized cross-brand user data into DynamoDB/Redshift/S3, giving Safety Agents a consistent view to make faster enforcement decisions (ban/escalate) and improve response time.
Shipped .NET 7 AOT for production AWS Lambdas, cutting cold starts 40% and improving responsiveness for internal tooling.
Software Engineer
Quorum
October 2020 - August 2021
Texas - Remote
Built desktop and web features for an oil & gas software suite (Java, JavaScript/TypeScript, React), collaborating with product to deliver customer-facing workflows.
Designed MSSQL pipelines (procedures, triggers, views) for reliable data processing and reporting across large energy datasets.
Added automated tests (JUnit, Jest) to reduce regressions across web and desktop apps.
Software Engineer
Quorum
October 2020 - August 2021
Texas - Remote
Built desktop and web features for an oil & gas software suite (Java, JavaScript/TypeScript, React), collaborating with product to deliver customer-facing workflows.
Designed MSSQL pipelines (procedures, triggers, views) for reliable data processing and reporting across large energy datasets.
Added automated tests (JUnit, Jest) to reduce regressions across web and desktop apps.
Software Engineer
Quorum
October 2020 - August 2021
Texas - Remote
Built desktop and web features for an oil & gas software suite (Java, JavaScript/TypeScript, React), collaborating with product to deliver customer-facing workflows.
Designed MSSQL pipelines (procedures, triggers, views) for reliable data processing and reporting across large energy datasets.
Added automated tests (JUnit, Jest) to reduce regressions across web and desktop apps.
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