Summary
Software Engineer with 3 years of experience developing cloud‑native software and building robust data pipelines.
Technical Skills
- Programming Languages: Python, Go, SQL, C/C++, Bash/Zsh
- Cloud Platforms: AWS (Lambda, ECS/EKS, EC2, S3, SQS/SNS, Batch, Fargate, ElastiCache, Neptune) · GCP (BigQuery, GCS, Cloud Run, Cloud Build/Deploy, Compute Engine)
- Data Warehousing & Analytics: Google BigQuery (partitioning, clustering, query optimization), Dataplex, Looker Studio · ETL/ELT design, cost‑aware modeling, data quality verification
- Pipelines & Orchestration: Serverless/event‑driven pipelines (AWS Step Functions, Amazon EventBridge) · Scheduled/recurring ingestion and transformation jobs
- Containers & IaC: Docker, Kubernetes · CloudFormation (infrastructure as code)
- DevOps, Observability & Reliability: CloudWatch logging/metrics/alerts · CI/CD pipelines (building, testing, deployment) · Secrets management · Dashboards for data services
Professional Experience
Intuit
Software Engineer 2
Mountain View, CA
- Built a recurring ingestion system that extracts 3rd‑party security data from APIs into BigQuery on scheduled intervals, ensuring the company’s catalog of cloud assets and vulnerabilities remains continuously accurate and up‑to‑date
- Developed a serverless cloud‑native vulnerability scanner using Go and Python to monitor 100k+ endpoints—reducing mean time‑to‑discovery (MTTD) from 2+ days to <24 hours
- Designed and implemented a full‑stack web application using Python, SQL, and Neo4j graph database to visualize cyberattacks on cloud infrastructure. Enables security teams to trace vulnerabilities from public endpoints to the responsible AWS account and team—reducing ownership attribution time from hours to minutes and cutting mean time to remediation by 70%
- Maintained scheduled BigQuery queries and ETL workflows for vulnerability and endpoint‑discovery data that surfaced exploitable vulnerabilities across cloud environments; expanded coverage to include new CVE and misconfiguration classes by enhancing scanner and transformation logic
- Pioneered and built a data pipeline discovery tool to eliminate redundancy of large‑scale legacy data sets in BigQuery data warehouse—reducing cloud storage usage by 1.2 petabytes, resulting in company savings of $300k+ annually
- Reported and presented security trends, vulnerability regressions, and attack surface exploitability to CISO and Security VPs. Empowered leadership to make informed decisions, manage security risk, and prioritize current initiatives
Intuit
Software Engineer Intern
Mountain View, CA
- Optimized the build process for Docker images, reducing the size of containers by 70%, and increasing the speed of builds by 300%
- Automated the deployment and distribution of updates to Amazon Elastic Compute Cloud (EC2) machine images, freeing up 10+ hours of developer time per week, eliminating the need for manual intervention, and reducing the risk of human error
Education
University of Southern California
Viterbi College of Engineering
Bachelor of Science — Computer Science
Los Angeles, CA