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Chaya E.
Bio
Junior Software Developer with hands-on experience in backend, frontend, and AI-driven systems. Skilled in Python, C#, .NET, React, SQL, and Docker. Strong analytical thinking and fast learning abilities, with experience delivering full end-to-end features.
Skills
Python
MinIO
Docker
Redis
FastAPI
FastMCP
LangChain
Alembic
Playwright Mcp
uv
Bootcamp Project
Comprehensive testing framework for software quality assurance
Mentored by: Quinn
Data Science Bootcamp 2025 (Data)
Responsibilities:
Designed and maintained a PostgreSǪL database, including schema migrations using Alembic. Designed and maintained a PostgreSǪL database, including schema migrations using Alembic.
Developed the Quinn UI Tester microservice using Python, FastAPI, and Playwright MCP, enabling automated, browser-based UI tests driven by natural-language scenarios and producing reproducible, artifact-rich results (screenshots, DOM snapshots, logs) within the Quinn MCP Testing platform.
Built agent-based orchestration flows using LangChain and LangFlow.
Integrated LLMs using prompt-engineering techniques to convert natural-language test descriptions into structured steps, executed by a Playwright MCP microservice.
Implemented asynchronous task coordination between microservices.
Worked in an Agile team using Docker and Git for collaboration.
Click to enlarge
Additional Projects
2025 | Developed 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 UI components in Angular/React using 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.
2025 | Developed an AI-powered smart trip planner
An AI-powered trip planner that generates personalized itineraries from natural-language input.
• Tech: React + Vite, Python, FastAPI, OpenAI Function Calling
• Built React frontend and Python/FastAPI backend.
• Built an OpenAI-powered Function Calling pipeline that interprets natural-language requests
(NLP) and generates personalized trip itineraries automatically.
• Integrated Google Places API for retrieving locations and points of interest.
English Level
Fluent