Languages & Data
The daily stack I use to build automation and debug real problems.
- Python
- JavaScript / TypeScript
- SQL
- PostgreSQL
SDET / Quality Engineering
Software Development Engineer in Test
SDET with 3 years of experience building Python-based automation frameworks, defining end-to-end test strategy, and improving release confidence across UI, API, integration, and mobile testing.
01TESTING PHILOSOPHY
I review requirements and code early enough to catch testability and edge-case gaps before a sprint closes, not after a build breaks in staging.
Automation only earns its place if it covers the critical path across UI, API, and integration layers, and runs fast enough that engineers actually trust the result. I build that layer with Python, Playwright, Selenium, and Pytest, and reach for the OpenAI API where it genuinely reduces manual authoring effort.
The job doesn't end at a green checkmark. I track coverage, cycle time, flaky-test rate, and defect leakage, and treat a rising flake rate as seriously as a failing suite.
02TECH STACK
A practical stack across test authoring, delivery, and quality operations.
The daily stack I use to build automation and debug real problems.
Hands-on frameworks and test layers used across product flows.
How I structure quality work from the start of a sprint to sign-off.
The tooling layer around the framework and the team workflow.
03FRAMEWORKS I'VE BUILT
Open folders to trace each framework from specifications through CI. Annotated files reveal a short terminal note about their role.
Project tree / select folders to inspect
Built to scale
Project tree / select folders to inspect
Built to scale
03SELECTED WORK
01 / Vaaree
Problem
Release confidence depended on slow, inconsistent manual regression across UI, API, and integration layers.
Approach
Result
Automation coverage grew from 40% to 75% and regression cycles ran 35% faster, while mentoring a 5-person QA team on the new standard.
02 / Synechron
Problem
Financial workflow testing needed reliable automated coverage fast, with production failures triaged largely by hand.
Approach
Result
Delivered a working, lower-flake automation layer for financial workflows within a focused 3-month tenure.
03 / TestYantra Softwares Pvt Ltd
Problem
A distributed loan processing system needed systematic API and data validation to catch reliability issues earlier.
Approach
Result
Cycle time dropped 20%, manual testing effort dropped 30%, and API reliability improved 15%.
04TOOLS I'VE BUILT
Shipped tool / built solo
An internal web app built for the QA team that turns PRDs into structured test scenarios using the OpenAI API.
Manual test-case writing
30–40%
less effort for the QA team
05EXPERIENCE
Dec 2024 - Present
Vaaree
Bengaluru, India
40% → 75% coverage and 35% faster regression cycles
Oct 2024 - Dec 2024
Synechron
Bengaluru, India
Short 3-month automation stint with meaningful impact on financial workflows
Jul 2023 - Aug 2024
TestYantra Softwares Pvt Ltd
Bengaluru, India
20% lower cycle time, 30% less manual effort, 15% better API reliability
06MEASURABLE IMPACT
Metrics from automation, delivery, and team practice across recent roles.
40% → 75%
automation coverage at Vaaree
35%
faster regression cycle time
30%
manual testing reduction
15%
API reliability improvement
25%
better delivery adherence
5
QA engineers mentored
07CONTACT
Open to SDET, QA Automation, and quality engineering roles that need strong automation ownership and practical release discipline.
Download resume