amasQIS.ai
Artificial Intelligence Engineer Intern
Overview · Implementation · Evidence
01APR — OCT 2025
Responsibilities & outcomes
Built backend and applied-AI features across two kinds of products: industrial analytics and an AI-powered virtual try-on experience. My work spanned data access, agent tooling, REST APIs, reporting, and model integration.
- SQL-connected industrial assistant — Implemented data-retrieval tools using FastMCP and LangChain, integrating LLaMA 4 Scout to help analyze electrolyzer measurements and answer questions grounded in industrial data.
- Automated technical reporting — Built diagnostic reporting flows that turned SQL results into visualizations and structured Quarto/PDF outputs, making technical analysis easier to review and share.
- FastAPI backend for virtual try-on — Worked on authentication, user profiles, body measurements, settings, community posts and AI prompt/search endpoints; integrated Firebase services alongside Gemini, MediaPipe and OpenCV for pose-aware experiences.
- Predictive-model and delivery pipelines — Worked with LSTM and XGBoost modeling, PyTorch-based experiments, FastAPI serving, Docker packaging and Airflow-based workflow orchestration.