Things I've built — from anomaly detection models to full-stack apps.
My work spans end-to-end AI engineering (time series anomaly detection, energy consumption analysis) and full-stack development. AI/ML projects are featured first — they reflect my current focus as a Master's student in Applied Mathematics & Machine Intelligence.
⭐ AI/MLAnomaly Detection — German Housing Energy (Ainubes)
Production-scale AI system developed at Ainubes GmbH to detect anomalies in residential energy consumption time series across a large German housing dataset. Built from scratch with proprietary data — custom feature engineering, statistical and ML-based detection models, and real-time alerting for energy inefficiencies.
PythonTime SeriesScikit-learnAnomaly DetectionSignal Processing- ⭐ AI/ML
Archivfy — Intelligent Document Platform (Ainubes)
AI-powered document management platform developed at Ainubes: automatic classification of uploaded documents by date, year, quarter, and month; OCR-based semantic search so clients can retrieve documents by keyword from any file format.
PythonOCRDocument AINLPCloud Storage 
⭐ AI/MLTime Series Anomaly Detection
Open-source exploration of anomaly detection algorithms for time series data — including statistical, isolation forest, and LSTM-based approaches, with benchmark comparisons.
PythonPyTorchScikit-learnPandasMatplotlib
WebHikma Invest
A secure investment platform to help achieve financial life goals — retirement planning, education funding, and property purchase — with portfolio analytics.
ReactNode.jsMongoDBExpress
WebAqlam
A social platform for book lovers — connect with readers, share reviews, join book clubs, and discover your next read. Full-stack with Spring Boot backend.
JavaSpring BootAngularPostgreSQL
WebLab Xpert
A management platform for medical laboratories — streamlining operations, improving efficiency, and ensuring accuracy in test processing with role-based access control.
JavaSpring SecurityJWTREST APIs