About — Yerevan, Armenia
- 01
Who I am
QA engineer with nearly three years testing enterprise platforms through EPAM Systems. I'm also in my fourth year of a BSc in Applied Statistics and Data Science at Yerevan State University, which is where most of my current curiosity about data and machine learning actually comes from.
- 02
What I build
Professionally: automation frameworks and API test coverage — Page Object Model UI regression suites, REST Assured and Cucumber-based validation, CI-integrated pipelines. Independently: full products end to end — a dual-mode AI/manual trip planner, two independent football media platforms with their own auth and rights-compliance layers, and a churn-prediction pipeline built as a sequence of tested, gated milestones rather than a single prototype.
- 03
What I care about
Correctness that's actually verified, not assumed. I come from testing, so I default to distrust — of a model's probability output, of a UI that 'looks right,' of any feature nobody wrote a regression test for. I'd rather ship something smaller that's actually true than something impressive that quietly isn't.
- 04
Currently exploring
Data science and applied ML — the degree feeds directly into how I think about testing now: less 'does this look right' and more 'can I prove this is calibrated, unbiased and reproducible.' My diploma project and the Customer Intelligence Platform are where that's showing up most directly right now.
N51 School after V. Petrosyan
Yerevan · Grades 1–9 · English-emphasis instruction — Nine years of general schooling in Yerevan, with an English-emphasis instructional track, before moving to a specialized math and physics school for the final years before university.
PhysMath School
Yerevan · 3 years — A specialized mathematics and physics school in Yerevan, known for strong olympiad results and — by some international 'best schools' style rankings circulating around 2022/2023 — cited among top-ranked schools globally, though that specific claim isn't something I can independently verify. What I can say directly: it's where the analytical foundation for everything I do now in statistics and data science was built.
BSc, Applied Statistics and Data Science (4th year)
Faculty of Mathematics and Mechanics. A degree spanning statistics, probability theory, programming, data science, machine learning, deep learning, algorithms and databases — the academic counterpart to the QA and engineering work on the professional side. Diploma project: in progress.
Yerevan State University · Faculty of Mathematics and Mechanics
- 01Machine Learning
- 02Game Theory
- 03Random Processes
- 04Deep Learning
- 05Data Structures
- ArmenianNative
- EnglishB2 / C1
- RussianProfessional working proficiency
- SpanishA1+ (approaching A2)
Roughly 1,000–2,000 words and basic conversation — real progress, not yet a full A2
QA & Automation
Professional foundation — nearly three years of it.
- Java 17
- Selenium WebDriver
- Playwright
- REST Assured
- TestNG
- JUnit 5
- Cucumber (BDD)
- SpecFlow
- API Testing
- UI Regression Testing
- Page Object Model
- Allure Reporting
Engineering
The tooling behind everything I ship independently.
- Java
- C# / .NET
- TypeScript
- JavaScript
- HTML / CSS
- Next.js
- Git
- GitLab CI
- GitHub Actions
- Jenkins
- Azure DevOps
- Docker
Data Science
Where the degree and the curiosity meet.
- Python
- pandas
- NumPy
- scikit-learn
- matplotlib
- seaborn
- Statistics & Probability
- Machine Learning
- Deep Learning
- Feature Engineering
- Regression Analysis
Backend & Data
What powers the independent products.
- PostgreSQL
- Supabase
- Prisma
- SQL
- REST APIs
- Row Level Security