Hi, my name is
Wael.
Data Scientist / AI Engineer
Building privacy-first, on-prem AI/ML systems (air-gapped deployments, encryption, PII redaction) for healthcare and highly regulated environments.
About Me
Data Scientist / AI Engineer specializing in privacy-first, on-prem ML systems (air-gapped deployments, encryption, PII redaction) for regulated environments—especially healthcare.
Tech lead delivering production NLP + computer vision pipelines for high-volume clinical document and communication workflows (100k+ documents/day; supporting 1.5M+ patients in the UK).
Applied research experience in computer vision and generative AI for space/low-gravity experimentation (plant root stress detection and simulation to reduce experimentation cost). Based in Saxony, Germany and open to Germany-based remote/hybrid roles.
Technical Skills
ML / AI
NLP & Vision
Data & Analytics
Infrastructure
Experience
Kynoby AI
Artificial Intelligence Engineer (Tech Lead)
– present · United Kingdom
- ▸ Lead design and delivery of privacy-first AI systems for healthcare communication workflows, deployed on-prem in air-gapped environments with encryption and PII redaction.
- ▸ Built end-to-end medical letter and document processing pipelines combining NLP and computer vision for classification, extraction, triage, and routing at scale (100k+ documents/day).
- ▸ Delivered production systems supporting 1.5M+ patients in the UK, improving operational throughput and standardization of clinical communication handling.
- ▸ Owned multiple automation products (patient communication handling, hospital communication handling, repeat-prescription automation).
- ▸ Drive technical direction across model selection, evaluation, and deployment constraints (latency, confidentiality, reliability), aligning stakeholders on measurable outcomes.
Hochschule Mittweida
Research Assistant (Programming & Data Science - Space Applications)
– present · Germany
- ▸ Develop computer-vision pipelines to detect stress signals in plant roots under space/low-gravity experiment conditions.
- ▸ Apply generative AI methods to simulate experimental conditions to reduce cost and accelerate land-based testing cycles.
- ▸ Collaborate with interdisciplinary research teams, translating experimental goals into data collection, modeling, and evaluation workflows.
- ▸ Build reproducible analysis workflows for research data, enabling iterative experimentation and model improvement.
Kaplan Professional
Assistant Teacher of Data Science and Artificial Intelligence
– · Saudi Arabia
- ▸ Taught statistics and machine learning in a bootcamp environment to large cohorts (200–300 students).
- ▸ Delivered practical instruction in Python-based data science workflows, covering data preparation, modeling, and evaluation fundamentals.
- ▸ Mentored learners through applied ML exercises and projects; developed teaching materials and labs (private).
Artemis-Research
Business Intelligence Analyst
– · USA
- ▸ Produced recurring performance reporting (daily/weekly/monthly) across ~50 clinical sites to support operational and executive decision-making.
- ▸ Managed corporate patient database operations as a Salesforce administrator; implemented controls to improve data quality in medical research cycles.
- ▸ Built and maintained analytics workflows using SQL, BI dashboards (Power BI/Tableau), and Python-based analysis for ad-hoc executive requests.
- ▸ Partnered with stakeholders to define KPIs and standardize reporting outputs, reducing manual reporting friction and improving consistency.
Education
MSc — Data Science & Business Analytics
W. P. Carey School of Business, Arizona State University
Tempe, AZ, USA
- ▸ Full scholarship - Abdullah Al Ghurair Foundation for Education Scholarship Recipient
- ▸ Completed an intensive graduate program focused on data mining, predictive analytics, and analytical decision modeling.
- ▸ Gained hands-on experience with statistical analysis, optimization, and machine learning techniques for business and supply-chain applications.
- ▸ Applied analytics to real-world scenarios through enterprise analytics and strategy-driven applied projects.
- ▸ Developed strong skills in translating data insights into actionable business decisions for management and strategic planning.
BSc — Applied Mathematics
Hochschule Mittweida
Mittweida, Germany
- ▸ Emphasis on mathematical modeling and data-driven methods for engineering and scientific applications.
- ▸ Applying applied mathematics to real-world ML problems, including vision-based analysis and generative modeling for experimental simulation.
- ▸ Research-oriented projects bridging mathematics, computer vision, and applied AI for space applications.
BSc — Logistics and Supply Chain Management
College of International Transport and Logistics, AAST
Alexandria, Egypt
- ▸ Full Scholarship - Merit Scholarship Recipient
- ▸ Completed a comprehensive program covering logistics, supply chain management, transport economics, and operations research.
- ▸ Built a strong foundation in quantitative modeling, operations management, and logistics information systems.
- ▸ Studied global trade, procurement, warehousing, risk management, and international business law within complex supply networks.
- ▸ Completed a graduation project focused on applied supply chain and logistics problem-solving.
Contact
My inbox is always open — feel free to reach out about ML/AI roles, collaborations, or research.