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Ilija KosticIK
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Ilija Kostic

@ilijakostic

Data / ML Engineer at Diligent building RAG systems and end-to-end data pipelines.

Serbia
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At Diligent, I designed and implemented an end-to-end ETL data ingestion pipeline and built a Retrieval-Augmented Generation system from the ground up. I also developed a finance data engineering solution in Microsoft Fabric and integrated an AI-powered chatbot into an existing service.

At Diffine, I developed computer vision algorithms for medical imaging and contributed to a medical image processing framework. I led development of a deep learning pipeline for classifying cells in 3D medical imagery, and worked on research and implementation across signal processing, image processing, and classical computer vision.

My work includes 2D and 3D image processing, mesh processing, and deep learning for segmentation and classification. I also co-authored a TELFOR 2024 paper on deep-learning-based cell phenotype classification.

Experience

Work history, roles, and key accomplishments

DI

Computer Vision Research Engineer

Diffine

Jul 2022 - Mar 2025 (2 years 8 months)

Conducted research and prototyping of machine learning and deep learning models in real-world applications. Designed and executed experiments to evaluate and optimize models, and assisted teams with mathematical concepts in computer vision.

NM

Mathematics Workshop Member

Nauči Me

Apr 2020 - Sep 2020 (5 months)

Managed and ran a math workshop focused on learning new and fun things about math. Participated in projects and seminars of the NGO.

Education

Degrees, certifications, and relevant coursework

Faculty of Sciences and Mathematics, University of Niš logoFN

Faculty of Sciences and Mathematics, University of Niš

Graduate, Mathematics

2017 - 2024

Graduated in Mathematics in 2024. The program covered advanced mathematical concepts and their applications.

HN

High School Gymnasium Bora Stanković, University of Niš

High School Diploma, Informatics

Graduated from the Informatics and computer class in 2017.

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