At the intersection of data science, mathematics, and research supporting informed decision-making, I’ve spent more than two decades building systems that turn complex data into actionable insights. My journey began unexpectedly in Afghanistan in 2002, where, with a background in electrical engineering, I found myself managing humanitarian programs across food security, water, and infrastructure initiatives. Working with limited information while making decisions that affected communities in Faryab province, I recognized a fundamental need: the ability to rapidly process vast amounts of data, identify patterns, and support time-sensitive decisions. That need has shaped everything since.
Core Systems & Achievements
As a consultant primarily with the IAEA since 2012, I’ve designed and developed decision support systems that bridge complex data with practical application:
IRMIS (International Radiation Monitoring System): Developed the data science and visualization components of the first version; advised on technical design of the second iteration, now used worldwide.
DSS4NAFA: Designed and developed the data science components for this decision support system for nuclear applications in food and agriculture.
MARIS: Ongoing contributions to the marine radioactivity information system, including integration of language models for enhanced data accessibility.
Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture: Contributing machine learning approaches, including radionuclide prediction using mid-infrared spectroscopy.
Previously, I worked extensively with UNHCR and other UN bodies, specializing in refugee settlement mapping and geospatial frameworks for humanitarian response, from field operations to HQ-level coordination and interagency working groups.
Current AI Work
Today, I apply AI pragmatically to the same mission: augmenting human expertise with data-driven insights where reliability and explainability matter most:
IOM: Developing LLM-assisted tagging of evaluation reports for evidence map production, and expanding AI applications through ongoing collaboration.
IAEA: Integrating language models into systems like MARIS, and exploring Retrieval-Augmented Generation for specialized domains.
My focus remains on practical deployment in operational environments, adapting these technologies to real-world constraints rather than chasing novelty.
About This Blog
On this blog, I share insights from applying data science and AI to real-world challenges. Consider it a workbench where practical experience meets ongoing curiosity. I also explore and explain research papers I consider pivotal, staying grounded in the elegant mathematical foundations that underpin this work.
For more details about my current consulting work and systems development, visit my LinkedIn profile.