Hired · Now at Evos NYC --:--

QA Engineer · Automation · API · Data

Software people can trust.

I bring clear risk signals to complex software. Now at Evos, with experience across healthcare, payments, robotics, and AI validation.

View experience
6+
years in quality engineering
04
companies along the way
EVOS
a new chapter · 2026
Portrait of Karina Blanchette
Current Focus Evos - QA Engineer Quality signal: online
PlaywrightSeleniumTypeScriptJavaPythonAWSSQLDatadog
01 / Approach

I work where a small defect can have a large consequence.

My job is not to collect passing test cases. It is to understand how a system can fail, build the right evidence, and help teams release with a clear view of risk.

02 / Expertise

Quality, engineered
as a system.

From the interface to the data layer, I build quality signals teams can act on.

01 Core practice

Test automation

Coverage that stays useful as the product changes.

I design maintainable regression suites for complex user journeys, integration points, and critical release paths.

regression-suite / main
✓ehr.integration.syncpassed
✓payments.authorizationpassed
✓mobile.hardware.flowpassed
PlaywrightSeleniumTypeScriptJava
02Under the interface

API + data

Validate the behavior. Then validate the truth.

API workflows, SQL checks, system integrations, and data consistency across distributed products.

03Emerging systems

AI validation

Clinical AI needs more than a happy path.

Python-assisted validation for AI-generated clinical documentation, with close attention to accuracy, context, and downstream risk.

04Release confidence

Delivery + observability

Quality feedback belongs inside delivery.

CI/CD, AWS workflows, Git-based collaboration, and production signals that shorten the distance between defect and diagnosis.

03 / Experience

Systems tested
in the real world.

A career shaped by regulated data, global transactions, connected hardware, and fast-moving product teams.

01
— presentCurrent chapter

Evos

QA Engineer

Current company

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LOREMIPSUMDOLORSIT
02
2024 — 2026

Avodah Inc.

Senior QA Engineer

Healthtech / AI

Led system integration testing across Athena, Veradigm, and Practice Fusion; built regression coverage from the ground up; and validated AI-generated clinical documentation with Python-assisted workflows.

EHR integrationsAI validationAWSAPI testing
03
2024

Aescape

QA Engineer

Robotics

Tested robotic massage systems across hardware, firmware, Android, and mobile software—where physical behavior and digital state had to agree.

Hardware integrationAndroidFirmware
04
2020 — 2023

Visa

QA Engineer

Payments

Delivered end-to-end testing for global payment flows, validating API behavior and using complex SQL checks to protect data consistency.

Payment flowsSQLSeleniumAPI

04 / Quality protocol

Make risk
visible.

Good QA is a decision system. Every test should help the team understand what changed, what matters, and what to do next.

  1. 01

    Model the risk

    Understand the system, the customer, and the cost of failure before choosing coverage.

  2. 02

    Build the signal

    Combine targeted automation, exploratory testing, API checks, and data evidence.

  3. 03

    Close the loop

    Turn failures into fast, specific feedback that improves both the product and the process.

Good work starts with a conversation

Stay in touch.

I’ve joined Evos and am not currently looking for a new role. For a conversation about quality engineering or to reconnect, you’re welcome to reach out.

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