- Troubleshoot and deploy SSIS packages, optimizing data workflows and ETL processes - Manage sensitive personal data, ensuring compliance with security and privacy standards

- Led a technical initiative that optimized, migrated, and decommissioned multiple data products, resulting in 2024 budget reduction by $100,000 USD - Constructed and managed YAML-based pipelines optimizing and parametrizing reusable Ansible templates, which reduced infrastructure and code deployment time by 70% - Automated deployments using Azure Git and DevOps, leading to improvement in deployment speeds across multiple projects - Enhanced team productivity by enforcing CI/CD best practices, resulting in a 90% reduction in deployment issues and manual production interventions - Optimized Databricks data ingestion, cutting costs by 10% without compromising on speed

- Led the migration of cloud-based integrations from Azure SQL DB to Azure Synapse - Oversaw and deployed from git repos of the modern data foundation team with 60 active users - Designed and implemented Azure pipelines for raw data ingestion from disparate source types - Ingested and maintained data for oil pumping facilities, procurements, and HR of over 30,000 employees totaling more than 3TB - Delivered on-demand ingestion pipeline for customers saving 30 work hours per month - Conducted Scrum activities for a team of 12 data engineers, personally trained 3 of them

Development of a Navigation Assistance System for Visually Impaired Individuals in Belgium (for imec): - Designed and developed iOS and Android applications with route planning capabilities using Google Maps and OpenStreetMap. - Built the frontend for request submission and retrieval, ensuring seamless communication with the server. - Developed an augmented reality (AR) navigation application to assist with urban mobility.

Research in 3D Face Reconstruction Using Machine Learning and Computer Vision: - Integrated existing 3D reconstruction models into the laboratory environment. - Adapted models to work with hospital laboratory data for enhanced accuracy. - Developed 3D facial models for medical applications, including pre- and post-surgical assessments. - Prepared data and models for deployment on the Flemish Supercomputer.

-- Development of Interactive iOS Applications: - Published on the App Store: ABCard (ARKit, simple JSON persistence), Kóp Sóz (simple JSON persistence). - Participant in NU Alumni Union Hackathon and Coca-Cola & Innov8 Innovation Challenge. - 3rd place in a case competition in Leuven, Belgium, with augmented reality applications. Familiar with: MVC architecture, UIKit, ARKit, Document-based apps, JSON persistence, Firebase Integration. -- Cross-Platform App Development with Flutter: - Winner of the ABC Incubation Startup Competition with Keep It Fresh (awarded 2,000,000 KZT [~4,000 EUR]).

- Designed and developed software for dysgraphia research with EPFL CHILI Lab, it was used to record handwriting of 200 children. Results were published in Nature and HRI conference - Formulated rules for trilingual text-to-speech engine creation and collection of 72h of audio data - Created Python library for semi-automated data collection and processing of over 120,000 handwritten Cyrillic letters significantly reducing the image alignment and labelling time

- Developed semi-automatic satellite and UAV images labelling software utilising CNNs and LSTMs [OpenCV, scikit-learn, Keras] - Incorporated computer vision technologies to existing surveillance products using both simple image processing techniques and deep learning approaches [OpenCV, scikit-learn, Keras]