



{
"name": "ognjen",
"occupation": "software engineer",
"likes": ["board games", "reading"],
}
My Projects
Predicting Life Expectancy: A Machine Learning Approach Using WHO Data
Machine Learning Helper Functions
Created my own reusable boilerplate functions for machine learning, which replace common code snippets, reducing my coding time by 25%. The repository includes helper functions for:
Data processing
Feature engineering
Model evaluation
Model training and tuning
Visualization


Developed a machine learning model to predict life expectancy using WHO dataset containing socioeconomic, healthcare, and demographic factors.
Performed exploratory data analysis (EDA) to identify key trends, correlations, and outliers affecting life expectancy.
Engineered features and handled missing data to improve model accuracy.
Model Accuracy: Predicted life expectancy within ±3.2 years on average (RMSE), demonstrating strong reliability for socioeconomic and healthcare analysis.


About Me
Hi, I’m Ognjen - a Software Engineer specializing in Machine Learning & AI, with hands-on experience building solutions for the automotive and video game industries.
Portfolio
I’m channeling my expertise into ML/AI, where I:
Work with diverse domains—from computer vision to NLP—to find where I can make the biggest impact.
Develop reusable tools like my MLHelper library to streamline ML workflows.
Explore emerging AI technologies in this fast developing field
When I'm not coding professionally I enjoy playing and designing board games and tabletop RPGs, practicing HEMA and working on my upcoming fantasy novel.
And yes—I still code for fun. My side projects range from football and basketball game prediction ML models to a Java chess app and board game simulation.





















My skills
Python
C++/C
HTML/CSS








Java


TensorFlow


SQL


MongoDB


Scikit-learn
Spring


MySQL
Experience
Software Engineer Intern
Won "Best Project Implementation" Award with a 4-person team for developing a Python-based 2D strategy game bot that outperformed competitor designs by 20% in playtests.
Engineered advanced target selection logic (weighted distance/threat analysis in Python), setting the project's benchmark for AI effectiveness – commended by program leads as "the most tactically sophisticated bot".
Salesforce Intern


Developed automated C++ tests (GTest) for climate control, seat adjustment, and lighting systems, reducing regression defects by 30%
Debugged and fixed 50+ C++ test failures - Directly resolved memory leaks, race conditions, and CAN protocol mismatches in vehicle software components.
C++ / Python Software Developer
Developed a Salesforce time-tracking app using Apex - Implemented work-logging logic with project-hour allocation and reporting features.


Contact
Contact me with any questions or offers you have, I'd love to hear from you!
© 2025 Ognjen Maksimovic