Curriculum Vitae
Abdulkader • Vienna, Austria
Professional Experience
- Automated workflows, reducing task completion time in critical business cases from days to minutes.
- Managed and maintained data infrastructure and analytics dashboards across 6 African partner countries.
- Built an AI evaluation system to automate strategy assessment, substantially decreasing reliance on external consultants.
- Led internal AI knowledge transfer sessions on privacy, model limitations, and modern tooling.
- Overhauled 3D robotics simulation software algorithms, significantly enhancing performance and UX workflows.
- Designed telemetry data collection tests on physical robotic hardware for machine learning model training.
- Constructed mission-critical PowerBI business intelligence dashboards and conducted data wrangling workshops.
- Set up robust CI/CD automated testing pipelines to ensure legacy codebase quality and maintainability.
- Analyzed user behavioral patterns across multi-billion-row telemetry databases using Apache Spark & Databricks.
- Conducted root cause diagnosis for high-throughput distributed service failures using structured log analytics.
- Formulated server performance testing KPIs and led knowledge transfer sessions on big data workflows.
- Tested and validated freshly deployed enterprise data warehouse pipelines.
- Implemented and deployed machine learning solutions on Azure Cognitive Services for production workflows.
- Developed anomaly detection algorithms to identify human modeling errors within complex 3D BIM data.
- Extracted predictive operational insights from business and construction manufacturing datasets.
- Sole developer for flight revenue and flight service quality forecasting software.
- Authored highly optimized SQL queries and designed mock testing environments (databases) to ensure calculation precision.
- Evaluated transformer code-generation models, generated annotated algorithmic benchmark datasets, and validated peer developer submissions.
Education
Thesis: "Memory Efficient Fine-tuning of Large Language Models"
Focus in Data Science and Machine Learning. Received Outstanding Graduate Award.
Thesis: "The Feasibility of Hand-Gesture Controlled Applications"
Certifications
Investment and Portfolio Management Specialization
5-course series on asset pricing, modern portfolio theory, and behavioral economics.
Reinforcement Learning Specialization
4-course comprehensive series covering Reinforcement Learning based on Sutton and Barto's book.
Take the Lead: Leadership, Entrepreneurship, Management
Executive leadership program on decision-making, leadership, and negotiation.
Microsoft Azure for Data Engineering
Data lakehouse architecture, Azure Synapse, and automated streaming ingest pipelines.
Microsoft Certified: Azure Data Scientist & Azure AI Engineer Associate
Proctored industry certifications for ML model training and cognitive service production deployments.
Technical Skills
Python, SQL, R, Kotlin, JavaScript, TypeScript, Julia, Java, Rust
PyTorch, TensorFlow, Hugging Face, JAX, NumPy, SciPy, Pandas, Polars, Scikit-learn, Apache Spark, Databricks, Microsoft Azure AI, PowerBI, Matplotlib, Plotly, PyQt, etc.