I'm Vijay Sekhar Reddy — a software quality engineering leader working at the intersection of automation, cloud data platforms, and practical AI. I turn complex systems into dependable digital experiences.
My background spans financial services, banking, and healthcare. I've led test strategy, automation, API validation, performance testing, production readiness, and cloud data quality across cross-functional teams.
Today, I'm especially interested in applying AI to remove repetitive engineering work while keeping humans accountable for reliability, security, and release decisions.
Based in Jersey City, with a New York state of mind: keep moving, keep learning, and build with purpose.
Connect on LinkedIn ↗Leading quality strategy for customer-facing wealth technology, including regression and automation, release readiness, cross-browser and mobile coverage, data validation, and observability.
Led a cross-functional QA team on cloud data platform validation, covering AWS Glue, streaming, APIs, ETL, database integrity, and CI/CD test integration.
Led automation and performance testing initiatives using Java, Selenium, Cucumber, JMeter, and LoadRunner; mentored engineers and improved test workflows.
Built and maintained UI automation frameworks, coordinated test planning and UAT, and used reporting dashboards to communicate engineering quality.
Established foundations in functional testing, traceability, automation, release validation, and collaborative Agile delivery.
Public-safe summaries of engineering initiatives and personal experiments. Client details and internal code remain private.
Coordinated end-to-end test strategy across data, functional, performance, and automation workstreams for an AWS-based platform migration.
AWSKafkaData QE
Designed a tool concept to compare API behavior between old and new environments across many request combinations and report differences.
APIsAutomation
Explored a developer-facing utility to make database table relationships and downstream impact easier to investigate.
JavaSpring Boot
Experimenting with AI-enabled workflow helpers for test authoring, element discovery, and engineering productivity.
AIQA
Participated in a vibe-coding hackathon, building with Cursor. Project specifics will be added after public review.
CursorVibe coding
Notes and experiments on AI tools, developer workflows, quality engineering, and emerging approaches to building software.
Read the blog ↗Professional certifications and learning completions as provided; verification links can be added later.
Java · Python · Selenium · TestNG · Cucumber · Playwright · Postman · REST Assured · Appium
EC2 · S3 · RDS · Glue · MSK · Lambda · Step Functions · CloudWatch · SQL · Kafka
JMeter · LoadRunner · GitHub Actions · Jenkins · Bamboo · Git · qTest · Jira · Splunk · Dynatrace
Interested in quality engineering leadership, cloud platform reliability, automation, or AI-enabled developer tools? I'd love to connect.