Ahmad Alamrousy
Computational scientist and Machine Learning Engineer
Carol Stream,Illinois
Summary
Computational scientist and Machine Learning Engineer with 9+ years of experience in mathematical modeling, statistical inference, optimization, and large-scale machine learning systems. My work has focused on developing data-driven computational frameworks for extracting meaningful patterns from complex and noisy datasets, combining principles from applied mathematics, algorithms, and scientific computing. I am pursued an M.S. in Data Science while strengthening my background in physics, quantum mechanics, and quantum information science in preparation for doctoral research in Quantum Science and Engineering. My long-term goal is to bridge machine learning and physics through computational approaches for modeling complex quantum and physical systems.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Senior Machine Learning Engineer
infrashield
IL
01.2025 - Current
- Designed and deployed mathematical learning systems based on statistical inference, optimization, and high-dimensional representation learning, achieving 92% predictive accuracy while maintaining robustness under changing data distributions.
- Developed physics-inspired monitoring and calibration frameworks to characterize distribution shifts, uncertainty propagation, and model stability, analogous to parameter drift and noise correction in continuously operating experimental systems.
- Integrated large-scale neural architectures and language models into scientific-style information extraction pipelines, applying principles from dimensionality reduction, probabilistic modeling, and information theory to improve automated decision processes.
- Built closed-loop machine learning systems combining automated measurement, feedback, and adaptive retraining mechanisms, enabling models to self-correct under non-stationary environments.
- Developed scalable computational pipelines using optimization techniques and numerical methods to reduce model deployment cycles from weeks to hours.
Machine Learning Engineer
Master Works
Riyadh, KSA
01.2022 - 12.2024
- Developed large-scale computational models for analyzing complex educational systems using statistical learning theory, time-series analysis, and predictive modeling across more than 10TB of daily data.
- Applied mathematical forecasting techniques, including temporal modeling, regression analysis, and probabilistic estimation, improving prediction accuracy of student performance by 40%.
- Designed algorithms for extracting meaningful signals from noisy, high-dimensional datasets, applying concepts from signal processing, statistical mechanics-inspired data analysis, and pattern recognition.
- Engineered distributed computational frameworks for large-scale data processing, optimizing numerical workflows and reducing computational latency by 60%.
- Built real-time analytical systems translating complex measurements into interpretable models through statistical inference and uncertainty-aware decision frameworks.
Data Scientist & Machine Learning Engineer
Unilever
Dubai, UAE
06.2020 - 12.2021
- Developed mathematical modeling frameworks for complex behavioral systems using statistical inference, machine learning optimization, and predictive analytics, achieving 85% classification accuracy.
- Applied computational methods to extract latent structures from large-scale, unstructured datasets using representation learning and automated feature discovery.
- Designed machine learning algorithms for image and text analysis, leveraging concepts from computer vision, information theory, and probabilistic modeling.
- Implemented automated data processing pipelines transforming heterogeneous observations into quantitative models for decision-making.
- Applied rigorous model evaluation techniques, including uncertainty analysis, validation strategies, and generalization testing to improve reliability on unseen data.
Education
M.S. - Data Science
Eastern University
04.2026
B.S. - Computer Science, Physics and Mathematics
menofiya University
06.2019
Skills
- Physics
- Mathematics
- Computational Science
- Linear Algebra
- Multivariable Calculus
- Differential Equations
- Optimization Methods
- Probability Theory
- Bayesian Inference
- Statistical Modeling
- Classical Mechanics
- Electromagnetism
- Modern Physics
- Computational Modeling
- Numerical Analysis
- Scientific Computing
- Fourier Analysis
- Signal Processing
- Dynamical Systems
- Time-Series Modeling
- Anomaly Detection
- Uncertainty Quantification
- High-dimensional data analysis
- Stochastic processes
- Parameter estimation
- Calibration
- Model validation
- Deep learning frameworks
- PyTorch
- TensorFlow
- Keras
- Scikit-learn
- XGBoost
- Supervised Learning
- Unsupervised Learning
- Representation Learning
- Neural Networks
- Optimization-based Learning
- Probabilistic Models
- CNNs
- RNNs
- Transformers
- Large Language Models
- Fine-tuning
- Retrieval-Augmented Generation
- Physics-informed modeling
- Surrogate modeling
- Data-driven simulation
- Inverse problems
- Uncertainty-aware prediction
- Data processing
- PySpark
- Distributed computing
- ETL pipeline design
- Streaming data architectures
- PostgreSQL
- MongoDB
- SQL-based analytics systems
- Feature engineering
- Statistical analysis
- Data pipelines
- High-dimensional dataset processing
- Cloud platforms
- AWS SageMaker
- Google Cloud Platform
- Azure Machine Learning
- Docker
- Kubernetes
- Git
- GitHub
- CI/CD automation
- Model monitoring
- Automated retraining pipelines
- Performance calibration
- Deployment optimization
- Python
- SQL
- NumPy
- SciPy
- Pandas
- Jupyter
- Flask
- Django
- Streamlit
- Matplotlib
- Seaborn
- Tableau
- Power BI
- SPSS
- SAS
- Weka
Websites
Certification
- Certified Scrum Master (CSM)
- 5th Place, Google-affiliated ICPC Problem-Solving Competition
- Best Employer of the Year, Master Works — for statistical software development
- Market Analysis Certification, Virginia University
- Data Science Specialization, Wesleyan University
- Advanced Machine Learning, Interworks
Selected Projects
- ETEC — statistical software platform for advanced data management and business intelligence
- Time-series forecasting system for judicial caseload projection, Ministry of Justice
- Sentiment analysis pipeline for large-scale social media data
- Stock price prediction using time-series forecasting
- Blindera — assistive software enabling social media interaction for visually impaired users
Timeline
Senior Machine Learning Engineer
infrashield
01.2025 - Current
Machine Learning Engineer
Master Works
01.2022 - 12.2024
Data Scientist & Machine Learning Engineer
Unilever
06.2020 - 12.2021
M.S. - Data Science
Eastern University
B.S. - Computer Science, Physics and Mathematics
menofiya University