Swathi Gangisetty
Staff Software Engineer at Netflix
Santa Barbara, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSwathi Gangisetty is a Staff Software Engineer with over 15 years building distributed systems and a track record of connecting business strategy to engineering execution. She has led platform and product initiatives across SaaS and on‑prem products—from driving HubSpot’s usage‑based billing and AI monetization that contributed $19M+ ARR to modernizing penetration testing at HackerOne and scaling Anchore’s vulnerability intelligence for container security. Her strengths lie at the intersection of systems design, product thinking, and execution: she builds centralized metering, real‑time monitoring, and governance pipelines that enable new monetization and compliance models at scale. A hands‑on leader, she has deep experience with large data pipelines and storage systems (Kafka, Cassandra, RDS, Elasticsearch, Ceph) and has contributed backend improvements to the widely used Anchore image scanning engine to enrich vendor advisories. Based in Santa Barbara, she combines technical stewardship with mentoring and team scaling, routinely turning ambiguous, high‑risk problems into pragmatic, auditable solutions.
11 years of coding experience
14 years of employment as a software developer
Master’s Degree, Master’s Degree at Georgia Institute of TechnologyBachelor’s Degree, Bachelor’s Degree at Chaitanya Bharathi Institute Of Technology
Telugu, Hindi, English
Github Skills (12)
schema-design10
scanning10
schema10
python10
database-design10
sql10
db-schema10
vulnerability-scanners10
database-schema10
security9
docker8
dockers8
Programming languages (7)
Github contributions (5)
anchore/anchore-engine
Apr 2018 - Dec 2021
A service that analyzes docker images and scans for vulnerabilities
Role in this project:
Back-end Developer
Back-end DeveloperContributions:201 reviews, 160 commits, 152 PRs in 3 years 9 months
Contributions summary:Swathi made several changes to the core backend components of the Anchore Engine. Their contributions focused on incorporating vendor advisory information into the image vulnerability scanning process. Key modifications included schema updates for fixed artifacts database, implementing data ingestion logic, and modifying policy engine gates to handle vendor-provided advisories. The changes indicate a focus on improving the accuracy and completeness of vulnerability analysis.
containerspythondocker-imagedockerhubvulnerabilities
nightfurys/enterprise-docs
May 2019 - Mar 2022
Source for the Enteprise Docs static site
Contributions:22 pushes, 8 branches in 2 years 10 months
pelicangitbookstatic-sitestatic-site-generator
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