I’m Wael Rahhal, a PhD AI/Machine Learning Engineer based in Istanbul, focused on building and improving generative-AI and LLM applications that work reliably in real products. Over the past 8+ years, I’ve designed end-to-end ML systems and shipped LLM-powered solutions such as RAG pipelines, agentic workflows, and evaluation frameworks—balancing model performance, robustness, and production engineering best practices across finance, real estate, healthcare, energy, and humanitarian contexts. In addition to building systems with LangChain and LangGraph and deploying them on AWS, GCP, and Azure, I’m deeply involved in evaluation and quality. I create benchmark tasks and verification-based grading logic, use LLM-as-a-judge thoughtfully, and set up observability with tools like LangSmith and Langfuse so teams can iterate with confidence. I also contribute open-source libraries on PyPI and enjoy teaching applied AI and data science through lectures and hands-on labs.…

WAEL RAHHAL, PhD

I’m Wael Rahhal, a PhD AI/Machine Learning Engineer based in Istanbul, focused on building and improving generative-AI and LLM applications that work reliably in real products. Over the past 8+ years, I’ve designed end-to-end ML systems and shipped LLM-powered solutions such as RAG pipelines, agentic workflows, and evaluation frameworks—balancing model performance, robustness, and production engineering best practices across finance, real estate, healthcare, energy, and humanitarian contexts. In addition to building systems with LangChain and LangGraph and deploying them on AWS, GCP, and Azure, I’m deeply involved in evaluation and quality. I create benchmark tasks and verification-based grading logic, use LLM-as-a-judge thoughtfully, and set up observability with tools like LangSmith and Langfuse so teams can iterate with confidence. I also contribute open-source libraries on PyPI and enjoy teaching applied AI and data science through lectures and hands-on labs.…

Available to hire

I’m Wael Rahhal, a PhD AI/Machine Learning Engineer based in Istanbul, focused on building and improving generative-AI and LLM applications that work reliably in real products. Over the past 8+ years, I’ve designed end-to-end ML systems and shipped LLM-powered solutions such as RAG pipelines, agentic workflows, and evaluation frameworks—balancing model performance, robustness, and production engineering best practices across finance, real estate, healthcare, energy, and humanitarian contexts.

In addition to building systems with LangChain and LangGraph and deploying them on AWS, GCP, and Azure, I’m deeply involved in evaluation and quality. I create benchmark tasks and verification-based grading logic, use LLM-as-a-judge thoughtfully, and set up observability with tools like LangSmith and Langfuse so teams can iterate with confidence. I also contribute open-source libraries on PyPI and enjoy teaching applied AI and data science through lectures and hands-on labs.

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Language

Arabic
Fluent
English
Fluent
Turkish
Advanced

Work Experience

AI Data Scientist / Benchmark Designer at Pareto AI
January 1, 2026 - Present
Designed and shipped end-to-end benchmark tasks for agentic-AI evaluation, including prompts, datasets, deterministic graders/verifiers, and reference solutions. Built multi-step computationally intensive data-science challenges spanning ingestion, cleaning, transformation, EDA, statistical analysis, feature engineering, modeling, and validation. Engineered adversarial test cases to calibrate target pass rates (1–3 / 10) and implemented strict verification logic (I/O contracts, schema validation, determinism checks, runtime/memory limits) for reproducible grading.
AI Evaluation Engineer (Freelance) at Alignerr
January 1, 2026 - Present
Evaluate and improve AI model outputs across machine learning, computer vision, and visual-reasoning tasks, including image classification, object detection, segmentation, and robustness testing. Design challenging evaluation tasks that assess reasoning, methodological correctness, statistical validity, and real-world problem solving. Assess outputs for accuracy, failure modes, bias, and alignment with ML best practices; produce structured written evaluations and actionable recommendations.
AI Solutions Engineer at Mindrift
October 1, 2025 - Present
Transform auto-generated drafts into accurate, production-ready deliverables in collaboration with hybrid AI agents. Apply domain judgment, source validation, and precise writing to solve cross-domain tasks with automation support. Contribute scripting and AI-tooling expertise to improve reliability and evolve agentic workflows.
Lecturer & Instructor, AI and Data Science at EduSTEM / Maaref University of Applied Sciences
July 1, 2025 - Present
Teach applied AI and data science, designing curriculum and hands-on labs across Python, machine learning, and generative AI. Deliver applied AI training programs covering core ML concepts and practical implementations.
Lecturer (AI and Data Science) at EduSTEM
July 1, 2025 - Present
Lecturer delivering AI and Data Science content, developing curricula and materials for online and onsite courses, mentoring students and overseeing project work.
Senior Research and Data Analyst at i-APS
September 1, 2024 - October 16, 2025
Lead and mentored the Data Analysts team; oversaw data management, cleaning, quality control, and validation. Performed in-depth data analysis using Python and SPSS; collaborated with project managers to design data collection instruments. Led quantitative and qualitative analyses across humanitarian sectors, created interactive visualizations, automated reporting tasks, and translated complex datasets into compelling visuals.
Financial Data Scientist at Investment Firm (Yatırım)
January 1, 2024 - Present
Analyze large-scale stock-market data to surface trends and patterns that inform investment strategies. Develop and optimize ML models for time-series forecasting, regression, and generative AI to support price and trend prediction. Build generative-AI applications for sentiment extraction from unstructured sources such as news and social feeds. Design and backtest algorithmic trading strategies integrating predictive models; assess financial risk with statistical methods and support portfolio managers with data-driven insights.
Financial Data Scientist at Yatırım Company
January 1, 2024 - Present
Conducted in-depth analysis of large-scale stock market data, identified trends and patterns to support investment strategies. Developed and optimized ML models (time series forecasting, regression, generative AI) for stock price prediction and market analysis. Built generative AI applications to analyze the stock market and extract sentiment from unstructured data. Designed and backtested algorithmic trading strategies and assessed financial risks using statistical methods. Collaborated with portfolio managers and financial analysts to deliver data-driven solutions.
Independent Data Science & AI Consultant / Trainer
January 1, 2020 - Present
Consulting and corporate training across industries on AI solutions, analytics, business strategy, e-commerce, and market research. Advise organizations on AI implementation, data analysis, and data-driven decision-making to support growth and innovation.
Senior Research & Data Analyst at i-APS
May 1, 2019 - September 1, 2024
Led and mentored a data-analyst team and provided training on advanced analysis techniques and tools. Conducted in-depth analysis with Python and SPSS delivering actionable insights across humanitarian sectors (WASH, Food Security, Education, Protection, and Health). Built automated reporting and interactive visualizations using Power BI, Tableau, and Google Data Studio. Designed data-collection instruments, advised sampling methodology, and safeguarded data quality and integrity across the data lifecycle.
Data Scientist at Bilgisayar Dünyası
April 1, 2019 - October 16, 2025
Developed predictive models (regression, classification, clustering) to improve business decision-making, cleaned and analyzed large datasets, built end-to-end ML pipelines with Python (TensorFlow, Scikit-learn, Pandas), deployed models on cloud platforms (AWS/GCP/Azure), and collaborated with cross-functional teams to optimize marketing strategies and customer experience. Created interactive data visualizations and led A/B testing and model validation.
Senior Market Analyze and Research Manager at Elaf Properties
October 1, 2017 - October 16, 2025
Provided weekly/monthly/quarterly market analyses (economic, political, competitors, customer insights). Evaluated product/service performance, forecasted sales trends, measured marketing effectiveness, and conducted surveys/research on topics such as viral advertising and social media influence on purchase intentions. Managed sales activities and supported project delivery.
Data Scientist at Bilgisayar Dünyası
August 1, 2017 - April 1, 2019
Built predictive ML models (regression, classification, clustering) to improve business decision-making and increase revenue by 15%. Designed and deployed end-to-end ML pipelines in Python (TensorFlow, scikit-learn, Pandas) on AWS, GCP, and Azure, improving operational efficiency by 20%. Led A/B testing and model validation, reducing prediction errors by 10%. Created interactive Tableau and Power BI dashboards for non-technical stakeholders.
Senior Market Research & Analysis Manager at Elaf Properties
November 1, 2015 - October 1, 2017
Delivered weekly-to-yearly market intelligence (economic, competitor, and customer analysis) for a GCC client portfolio. Forecast sales and marketing trends and measured campaign effectiveness including social-media marketing. Commissioned and ran market research studies to inform product and investment decisions.
Training and Development Manager at Alhadarah Education Institute
September 1, 2015 - October 16, 2025
Prepared training materials and delivered courses in English, Business, Statistics (SPSS), Marketing Research, and related fields; conducted online and onsite training and designed curricula with assessment of learning outcomes.
Training & Development Manager at Alhadarah Education Institute
January 1, 2014 - September 1, 2015
Designed and delivered training in Business English, statistics (SPSS), and marketing research.
Senior Assistance Brand Manager at AZZARO
December 1, 2013 - October 16, 2025
Conducted market analysis to support Marketing and Branding plans; prepared seasonal marketing plans; managed brand usage and export marketing; initiated direct marketing campaigns; performed sales analysis and forecasting; managed Salesforce training; evaluated brand equity and conducted marketing research including service quality and consumer behavior studies.
Senior Assistant Brand Manager at AZZARO
January 1, 2009 - December 1, 2013
Led market, competitor, and consumer analysis; built seasonal and export marketing plans, sales forecasts, and brand-equity research to support brand strategy.
Pharmaceutical Sales at SYRBIO
January 1, 2008 - October 16, 2025
Sales Representative and Business Development roles focusing on client relationships, market development, and promoting pharmaceutical products.
Accountant and Data Analyst at SYRBIO
January 1, 2006 - October 16, 2025
Handled accounting tasks and data analysis, maintained financial records, supported reporting and analytics efforts.

Education

Master of Science at International University of Applied Sciences – Germany
September 1, 2022 - October 16, 2025
PhD in Business Management at Al-Madinah International University - Malaysia
January 1, 2023 - October 16, 2025
Master of Science : Business Management (Marketing) at Higher Institute of Business Administration - Syria
October 1, 2009 - November 1, 2012
Bachelor of Science : Finance And Banking Science at University of Aleppo - Syria
October 1, 2004 - August 1, 2008
PhD, Business Management at Al-Madinah International University
January 1, 2023 - January 1, 2023
MSc, Data Science & Artificial Intelligence at International University of Applied Sciences (IU), Germany
January 1, 2026 - September 20, 2026
MSc, Business Management (Marketing) at Higher Institute of Business Administration (HIBA), Syria
January 1, 2012 - January 1, 2012
BSc, Finance & Banking at University of Aleppo
January 1, 2008 - January 1, 2008

Qualifications

MLOPS: Production Ready Data Science projects
April 1, 2021 - October 16, 2025
Python for Econometrics, Statistics and Data Analysis
November 1, 2021 - October 16, 2025
Deep Learning in Python Track
August 1, 2021 - October 16, 2025
Data Scientist with Python Track
August 1, 2021 - October 16, 2025
Python Programmer Track
August 1, 2021 - October 16, 2025
Microsoft Learn — AI Engineer (Data Science & Data Engineering pathways)
January 1, 2024 - September 20, 2026
MLOps: Production-Ready Data Science Projects — iNeuron.ai
January 1, 2024 - September 20, 2026
Career Tracks (Deep Learning in Python · Data Scientist with Python · Python Programmer; Python for Econometrics, Statistics and Data Analysis)
January 1, 2021 - September 20, 2026

Industry Experience

Financial Services, Education, Professional Services, Telecommunications, Media & Entertainment, Real Estate & Construction, Healthcare, Energy & Utilities, Non-Profit Organization, Software & Internet, Other