I am a Systems QA & Software Engineer based anywhere/everywhere. With a strong foundational background in infrastructure, servers, and hardware systems, I have transitioned into AI/ML system testing and automated validation.

Currently, I am working on improving full stack developer skills to accelerate my development workflow, build automation scripts, and refine code efficiency with Claude Code.

• 🔧 Current Role: Systems QA Engineer at Apple (Testing Computer Vision ML models)
• 💻 Technical Stack: Python, JavaScript, TypeScript, Node.js, C++
• 🤖 AI & Automation: Claude Code, Automated Test Stations, Data Validation Pipelines
• 🎯 Goal: Full-Stack Software Engineering

• 🔹 AI/ML Testing & Tooling: Building python-based automation and parsing scripts to validate Machine Learning model outputs.
• 🔹 Full-Stack Applications: Developing modern, responsive web apps using the MERN stack (MongoDB, Express, React, Node.js).
• 🔹 Automated Workflows: Integrating AI-assisted coding tools (Claude Code) into daily scripting, debugging, and continuous integration workflows.
• 🔹 Cloud & Infrastructure: Expanding knowledge in Docker, DevOps pipelines, and cloud environments.

• RunShare Pro – A full-stack fitness tracking application powered by MongoDB, Express, React, Node.js, and Leaflet.js for geospatial mapping, secured with JWT authentication.

I am always open to networking, discussing AI/ML engineering trends, or collaborating on:

• ✅ Full-Stack Web Development (React & Node.js)
• ✅ AI-assisted development and QA Automation workflows
• ✅ Open-source Python & JavaScript tooling

📫 How to reach me: enkesh@icloud.com | LinkedIn

💡 Check out my work on [GitHub Repositories]