Vladimir Vlado
@vladimirvlado
Data scientist and AI engineer specializing in predictive models.
What I'm looking for
I am a data scientist and AI engineer with hands-on experience building credit risk models, deep learning computer vision systems, and end-to-end ML pipelines. I have implemented regulatory-compliant models (Basel II/III, IFRS 9), deployed models on cloud platforms, and automated model development and monitoring to improve efficiency.
I bring a background in electrical engineering and IC layout, strong Python and C++ development skills, and experience with MLOps tools like Docker, MLflow, DVC, and AWS SageMaker. My projects include face recognition, signature extraction, trading bots, predictive maintenance, recommendation systems, and web applications developed with Django and PostgreSQL.
Experience
Work history, roles, and key accomplishments
Data Scientist
UniCredit Bank
Jan 2025 - Present (9 months)
Developed, validated, and maintained credit risk models (PD, LGD, EAD) using machine learning and econometric techniques to support decision-making and ensure compliance with Basel II/III and IFRS 9.
Software Developer / AI Engineer
Muehlbauer
Sep 2023 - Jan 2025 (1 year 4 months)
Developed and trained neural networks for computer vision projects including real-time face recognition, signature extraction, and a C++ document reader system to improve authentication and data extraction workflows.
Data Analyst / Data Scientist
Python Dev Center
Aug 2022 - Sep 2023 (1 year 1 month)
Built trading bots and stock price prediction models, performed data cleaning and analysis, and produced visualizations to inform trading strategies while deploying models on AWS and GCP.
Analog/RF IC Layout Engineer
Elsys Eastern Europe
Feb 2022 - Aug 2022 (6 months)
Performed analog and digital IC physical design in 55nm technology including mask design, LVS, DRC, PEX, and floorplanning using Cadence Virtuoso while applying matching and noise isolation techniques.
Backend Developer
Python Dev Center
Developed a web application and interactive PDF reader for managing chess literature, improving accessibility and user experience for chess enthusiasts using Django and PostgreSQL.
Education
Degrees, certifications, and relevant coursework
University of Banja Luka, Faculty of Electrical Engineering
Bachelor of Engineering, Electrical Engineering
2016 - 2022
Activities and societies: Faculty projects: predictive maintenance model, recommendation system, web scraping and Power BI dashboards, image recognition using CNNs, SQL analysis of video game sales.
Bachelor's degree in electrical engineering with coursework and projects in predictive maintenance, recommendation systems, web scraping, and image recognition completed between 2016 and 2022.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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