Romeo Šajina
Verified Expert in Engineering
Software Engineer and Developer
Pazin, Croatia
Toptal member since July 10, 2024
Romeo is a data scientist and machine learning engineer specializing in PyTorch, TensorFlow, and scikit-learn frameworks. He has experience with diverse problems ranging from computer vision to time series forecasting. Romeo also excels at designing and implementing machine learning models and algorithms, which add to his full-stack development background. He has a master's degree in computer science and is currently close to obtaining his doctorate in computer sciences.
Portfolio
Experience
- Full-stack Development - 10 years
- SQL - 10 years
- Web Development - 10 years
- Machine Learning - 9 years
- Data Science - 9 years
- Deep Neural Networks (DNNs) - 7 years
- REST - 5 years
- PyTorch - 5 years
Preferred Environment
PyCharm, Slack, Visual Studio Code (VS Code), Google Colaboratory (Colab), MacOS, Artificial Intelligence (AI), Machine Learning, Generative Artificial Intelligence (GenAI), Full-stack Development, Large Language Models (LLMs), Supervised Learning, AI Model Integration, ChatGPT, AI Model Training, Databases, MySQL, Coding, Forecasting, Time Series Forecasting, Demand Forecasting, Time Series
The most amazing...
...project I worked on is an AI recommendation model for a software company serving oil firms. It achieved over 90% accuracy in recommending equipment maintenance.
Work Experience
Artificial Intelligence Engineer
Company Developing Software for Oil Firms
- Developed recommender models for a company specializing in solutions for oil refineries.
- Built an algorithm for summarizing historical reviews using the Llama 3 model.
- Learned and mentored on artificial intelligence and its practical applications within the industry.
Researcher
PhD Study
- Published a paper proposing a novel model for multi-person pose forecasting, optimizing performance, and reducing model parameters. The forthcoming paper presents a model that outperforms current state-of-the-art approaches in this field.
- Conducted research in computer vision, resulting in a published paper discussing the algorithms and models required for 3D pose estimation and tracking in sports actions.
- Completed all PhD coursework, which included advanced topics such as computer vision, natural language processing, statistical analysis, and methodology of scientific work.
- Participated in a summer school on image processing, fulfilling learning and practical obligations, including a project that developed the top-performing model for human hand detection.
Artificial Intelligence Engineer
Faculty of Informatics, University of Pula
- Engineered a solution to extract human signatures from an image, ensuring valid placement and orientation of the signature.
- Participated in developing an application for users to submit signatures and profile photos.
- Oversaw the launch process and production of the developed module, which is now available in an open-source repository.
Software Engineer
Istra Tech
- Contributed to developing web systems tailored for the hospitality sector, involving various aspects of a hospitality entity, including restaurant inventory and guest management.
- Implemented anonymization solutions to ensure compliance with the General Data Protection Regulation (GDPR).
- Tracked and fixed bugs using Jira as a reporting tool.
Experience
Recruitment Chatbot
Module for Automatic Signature Extraction and Validation
https://github.com/fipu-lab/signature-validationClub House Website
https://edisonhouseslc.com/Recruitment App
Education
Doctorate Degree in Computer Science
Faculty of Informatics and Digital Technologies - Rijeka, Croatia
Master's Degree in Computer Science
Juraj Dobrila University of Pula - Pula, Croatia
Bachelor's Degree in Computer Science
Juraj Dobrila University of Pula - Pula, Croatia
Skills
Libraries/APIs
PyTorch, TensorFlow, OpenCV, Scikit-learn, Pandas, Stripe API, Flask API
Tools
ChatGPT, PyCharm, Slack, JDeveloper, Seaborn, Jira
Languages
SQL, Python, Java, XML, JavaScript, HTML, CSS, PHP
Paradigms
REST, Microservices
Storage
Databases, MySQL, PostgreSQL
Frameworks
Flask
Platforms
Amazon Web Services (AWS), Ubuntu, Visual Studio Code (VS Code), MacOS, WordPress, Docker
Other
Data Science, Machine Learning, Artificial Intelligence (AI), Computer Science, Large Language Models (LLMs), Forecasting, Supervised Learning, Full-stack, Prompt Engineering, Back-end, AI Model Integration, AI Model Training, Coding, Time Series Forecasting, Time Series, Decision Trees, Dimensionality Reduction, Gradient Boosting, K-means Clustering, Linear Regression, Logistic Regression, Random Forests, Support Vector Machines (SVM), Time Series Analysis, Full-stack Development, Web Development, Model Development, Model Deployment, Deep Neural Networks (DNNs), Graph Neural Networks (GNNs), Transformer Models, Generative Artificial Intelligence (GenAI), Algorithms, Stripe Payments, Demand Forecasting, Google Colaboratory (Colab), Llama 3, Research, Experimental Research, Data Analysis, FastAPI
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