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Klest Dedja

AI Research Engineer @ Predikt.ai, Leuven, Belgium
Netherlands

With several years of experience in Machine Learning modeling, validation, and optimization, I specialized in Explainable AI, using advanced interpretability tools to generate actionable, trustworthy insights. I excel at identifying root causes of model under-performance, as well as defining meaningful prediction tasks from real-world data. I have accumulated experience in collaboration with domain experts and decision-makers, ensuring that my projects are not only technically sound but also practically relevant. My academic path fostered autonomy, deep expertise, and gave me several occasions for mentoring students and professionals, while start-up experience sharpened my communication skills and results-driven mindset. I now seek to apply this blend of expertise in an industry where transparency and reliability are critical to innovation and real-world impact.

Top functies

Data Analyst< 2 years
AI Specialist< 2 years

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SQL
Python
R / Matlab / SPSS

ETL Datawarehouse

DataStage

Systems

Linux

Miscellaneous

Machine Learning
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Werkervaring
Since 2018
AI Research Engineer @ Predikt.ai, Leuven, Belgium
01 January 2024 -

Translating business requirements into AI solutions and maintaining technical documentation.

PhD Student @ KU Leuven - KULAK, Kortrijk, Belgium
01 January 2019 - 31 December 2024

Specialized in Explainable AI, developing tools for actionable insights from AI models.

Credit Risk Modelling Intern @ ABN AMRO, Amsterdam, The Netherlands
01 January 2018 - 31 December 2019

Developed explainability tools for AI models and engaged in software development and academic writing.

Opleiding
Since 2013
Applied Mathematics @ TU Delft, The Netherlands
01 September 2017 - 30 June 2019

Master in Applied Mathematics, MSc, Ir.

Mathematics @ University of Udine, Italy
01 September 2013 - 30 June 2016

Bachelor in Mathematics (BSc)

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