I’m a software engineer focused on AI automation and full-stack product development.
I started in test automation and grew into building intelligent tools that simplify engineering workflows, accelerate releases, and improve product quality.
Today I focus on GenAI product development, automation frameworks, and scalable web applications that bridge humans and machines.
- 🧠 Exploring Generative AI, MCP (Model Context Protocol), and AI-first testing workflows
- 🧩 Skilled in Python, Django, TypeScript, Playwright, and React.js
- 🧱 Building GenFlow — a GenAI solution to reimagine test creation and UI flows
- ✍️ Published author: “Detection of Deep Fakes Using Deep Learning” (i-manager Journal)
- ☁️ Microsoft Certified (AI-900: Azure AI Fundamentals)
- 📫 Reach me: shaiksubhansaheb609@gmail.com
| Category | Tools / Frameworks |
|---|---|
| Languages | Python, SQL, TypeScript, JavaScript |
| Backend | Django, Django REST Framework |
| Frontend | React.js, HTML, CSS |
| AI/ML | PyTorch, scikit-learn, LLM APIs, LM Studio |
| Automation & Testing | Playwright, PyTest, CI/CD Pipelines |
| Cloud & DevOps | Docker, GitHub Actions, GitLab CI/CD |
| Databases | PostgreSQL, SQLite, Redshift |
| Visualization | Power BI, JSON Cracker, Graph Modeling |
🧠 GenFlow
Reimagining how teams write tests and visualize applications.
A full-stack platform combining Chrome Extension, Django REST Framework, and Generative AI to replace traditional test lists with flow-based application maps.
Designed to auto-generate pre-aligned test scripts and locators, enabling teams to ship faster and improve coverage.
An AI-powered web app that detects manipulated videos using CNN + LSTM models.
Trained on FaceForensics++, Celeb-DF, and DeepFake Challenge datasets, built with Django and PyTorch.
Machine learning model to detect phishing URLs using feature engineering + Random Forests, served through Django REST API with a React frontend.
🧑🏫 Faculty Vault
A Django + PostgreSQL platform to manage academic data with PDF export, search, and admin features.
- 🧩 Detection of Deep Fakes Using Deep Learning — i-manager Journal Publication
- ☁️ Microsoft Azure AI Fundamentals (AI-900)
- ✍️ Published Author on GeeksforGeeks
- 🧠 Developing LLM-powered UI understanding systems using MCP + Playwright
- 🧩 Automating test generation pipelines with contextual awareness
- 💡 Building visual, AI-assisted tools to make testing intuitive, faster, and human-friendly
- 🧭 Exploring full-stack AI app development with Django + React + Generative AI
✨ "I don't just test systems — I build them to think smarter, act faster, and create impact." ✨