#TeQius
An online coding bootcamp designed to help career-changers break into high-paying tech roles. The platform blends game mechanics, dual mentorship, and project-based challenges to create a learning experience that is immersive, motivating, and outcomes-driven.
TeQius focuses on active learning, real-world application, and continuous feedback. It combines three core pillars into one cohesive learning system:
1. Gamified Learning Experience
2. Dual Mentorship Model
3. Project-Based Challenges
PQI — Solo Python tool that analyzes Polymarket prediction markets with a 7-agent LLM council and prints ranked, reasoned recommendations (research project, not deployed). Python; Anthropic Claude API, asyncio, Pydantic, DuckDB analytics.
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docling-pipelines: Dropbox and Box file events. Added file-event support to the Dropbox and Box ingest providers in docling-pipelines (Python), so a single file can be processed when an event arrives. Input validation, unit tests, and docs included. Both PRs merged. https://github.com/docling-project/docling-pipelines/pull/348
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Enterprise SaaS QA Automation: AI-Powered Testing & CI/CD
My role : Senior QA Automation Engineer
Project description:
Architected and implemented comprehensive test automation framework for enterprise SaaS platform, achieving 92% API and 85% UI test coverage. Developed 230+ automated tests using Pytest and Selenium with Page Object Model design pattern. Integrated AI-powered test prioritization and flaky test detection achieving 95% accuracy. Implemented GitHub Actions CI/CD pipeline reducing regression testing from 2 days to 6 hours (75% reduction). Enabled daily releases while improving production defect detection by 82%. Technologies: Python, Pytest, Selenium WebDriver, GitHub Actions, Docker, Scikit-learn