Abdullah Imtiaz

Full-Stack Engineer & Research Student

● Currently looking for Werkstudent opportunities in Germany / Remote

A Full-Stack Engineer and research student building AI-powered tools, DSL-driven systems, and production-grade web platforms.

About Me

M.Sc. Research student at TU Ilmenau (2026 - Present) with 1.5+ years of experience in full-stack engineering and AI API integration. I focus on DSL-based architectures, LLM integration, and building production-grade web platforms. I truly enjoy solving real engineering problems with clean, scalable code.

Technical Core Competencies

01. Full-Stack Development Building production-grade web platforms with React.js, Next.js, Node.js, and Express.js, from database design to deployment.
02. AI / LLM API Integration Integrating third-party LLM APIs into internal tools and products, enabling automated code generation and natural-language-driven features.
03. DSL & Architecture Design Architecting DSL-based systems with dynamic component styling and OpenAPI specification support for scalable website builders.
04. Data Visualization Turning raw CSV and Excel data into interactive dashboards and charts, powered by natural language prompts and structured LLM configuration.
05. Agile & BDD Practices Applying Behavior Driven Development and Agile methodologies to align engineering output with real user and technical requirements.

Featured Projects

ChartAmp

Next.js • Node.js • LLM API • Dec 2025

AI-powered platform generating custom charts and dashboards from natural language prompts or CSV/Excel schemas via LLM API, with real-time collaborative sharing.

View Code (GitHub)

Capsule Network for Lung Nodule Detection

Python • PyLIDC • PyTorch • May 2024

Deep learning Capsule Network for CT lung nodule classification (outperforming a baseline CNN, 63% → 71% accuracy), with a radiologist-facing web interface.

View Code (GitHub)

Freelancer Hiring Platform

React.js • Node.js • Socket.io • Nov 2023

Full-stack hiring marketplace with personalized dashboards, job recommendations, real-time notifications, and automated application workflows.

View Code (GitHub)