EXPERIENCE
WORK HISTORY
@ Bestow
Senior Software Engineer
February 2025 - Present
Build distributed Go gRPC microservices powering policy and billing for a life insurance platform, including the event-driven Actor Creation service and the Illustration service for new IUL products. Drive 25% developer productivity gains across engineering as a CTO AI Guild member, championing agentic development workflows and agent orchestration.
Technologies: Go, gRPC, PostgreSQL, Redis, Kubernetes, Docker, JWT, OAuth 2.0, Linux, GCP (Cloud Storage, GKE, Pub/Sub, KMS), Elasticsearch, Pulumi, CircleCI, New Relic
@ Atlassian
Software Engineer
May 2021 - February 2025
Worked across Bitbucket Cloud and Jira Align. Unblocked enterprise customer migration by building a schema-agnostic, event-driven Go Audit Logs service, drove $6M in annual customer expansion by migrating Jira Align's UI from Angular to React, hardened authentication via the App Passwords initiative, and led Bitbucket Cloud's 6-month Python 2 to 3 monolith migration with zero downtime.
Technologies: Go, Python, Django, C#, React, TypeScript, REST APIs, PostgreSQL, Redis, JWT, Docker, AWS (S3, SQS, SNS, EC2), Celery, Bitbucket Pipelines, Jsonnet
Data Engineer
May 2019 - May 2021
Started building big data pipelines on Databricks Spark and Airflow, then shifted to building backend services and Python libraries that improved the data engineering team's data quality, refresh latency, and development velocity, before moving into backend engineering on Bitbucket Cloud.
Technologies: Python, Apache Spark, PySpark, Spark SQL, Apache Airflow, AWS, AWS Kinesis, Databricks
@ Credit Sesame
Senior Data Analyst, Product and Marketing Analytics
June 2018 - May 2019
Grew new user revenue 20% by building a gradient-boosted model to predict credit card conversions and A/B testing high-impact features, and cut TV ad model update time 80% by independently architecting an Airflow-based ETL infrastructure on AWS for real-time ad performance tracking.
Technologies: Python, Machine Learning, Apache Airflow, AWS EC2
@ loanDepot
Data Scientist, Risk Modeling
Jan 2015 - June 2018
Drove $200K+ in daily fundings by creating both the pricing and risk models for loanDepot's first personal loan product, and cut delinquency by 15% and fraud by 25% via Python-based ML models, unlocking a $100M increase in warehouse credit from institutional investors.
Technologies: Python, SQL Server, Risk Modeling
TECHNICAL SKILLS
LANGUAGES
Go, Python, TypeScript
FRAMEWORKS
Go http/net, Django, React
APIS
HTTP/REST, gRPC, Protobuf
SECURITY
JWT, OAuth 2.0, Auth0, SOPS
CLOUD
AWS: EC2, RDS, ElastiCache, SQS, SNS, S3, EMR, Redshift, Kinesis, MSK
GCP: Google Kubernetes Engine, Cloud SQL, Pub/Sub, Memorystore, Cloud Storage, KMS
DATA STORAGE
PostgreSQL, Redis, Elasticsearch
CONTAINER ORCHESTRATION
Kubernetes, Google Kubernetes Engine (GKE), Docker, Docker Compose, Linux
OBSERVABILITY
New Relic, Splunk, Sentry
CI/CD
CircleCI, Bitbucket Pipelines, GitHub Actions
PLATFORM TOOLING
incident.io, LaunchDarkly, SonarQube, OpsGenie
AI DEVELOPMENT
Claude Code, Beads, sub-agents, custom skills and workflows, plugins, context optimization, agent orchestration
BIG DATA
Apache Spark, Spark SQL, Databricks, Apache Airflow, AWS Kinesis/Apache Kafka, AWS EMR, AWS Redshift
EDUCATION
@ University of North Texas
Master of Science in Economics
Concentration in Econometrics
@ University of Texas at Austin
Bachelor of Arts in Economics
Minor in Mathematics