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Chaya E.

GitHub

Bio

Software Developer with hands-on experience in end-to-end project development and strong familiarity with AI technologies. A fast, independent learner with strong system-design capabilities and excellent analytical skills for solving complex coding and algorithmic challenges.

Skills

Python
PostgreSQL
MinIO
Docker
Redis
FastAPI
FastMCP
Playwright MCP
LangChain
Alembic
uv

Bootcamp Project

QuinnTests

Comprehensive testing framework for software quality assurance

Mentored by: Quinn

Data Science Bootcamp 2025 (Data)

Responsibilities:

  • Designed, implemented, and maintained a PostgreSQL database, including schema design and versioned migrations using Alembic, ensuring data consistency and safe evolution of the system over time.

  • Developed the UI Tester microservice as part of the Quinn MCP Testing Platform using Python, FastMCP, FastAPI.

    The service executes real browser-based UI tests via Playwright MCP, driven by natural-language test scenarios rather than traditional test scripts.

  • Built agent-driven orchestration flows using LangChain and LangFlow, enabling multiple specialized agents to collaborate on complex testing tasks such as site mapping, step generation, and test execution.

  • Integrated Large Language Models using advanced prompt-engineering techniques to transform high-level, human-readable test descriptions into structured, deterministic test steps executed by Playwright MCP.

  • Implemented asynchronous task coordination between multiple microservices, ensuring reliable execution, clear responsibility boundaries, and scalable test flows.

  • Designed the system to produce artifact-rich outputs, including screenshots, DOM snapshots, and structured logs, enabling reproducible runs and easier debugging.

  • Worked in an Agile team environment, using Docker for containerization and Git for version control and collaboration across distributed services.

Chaya E. - Task Preview
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Additional Projects

a photo management application

A cloud-based photo management app with advanced search, tagging, and AI-powered image processing.

• Tech: .NET Core, Angular, React, MySQL, S3

• Built the .NET backend using a 3-layer architecture with Entity Framework and design patterns.

• Performed API validation using Postman and Swagger.

• Developed advanced UI components with MUI and Angular Material.

• Implemented JWT-based authentication for the login flow.

• Added prompt-driven image processing via DeepAI API integration.

• Deployed the application on Render and managed image storage using AWS S3.

English Level

Fluent