We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?
Schedule Interview NowMy name is Josip V. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Deep Learning, PyTorch, Python Scikit-Learn, XGBoost, Matplotlib, etc.. I hold a degree in Doctor of Medicine (MD), Master's degree. Some of the notable projects I’ve worked on include: Codellama2-7b on Streamlit, Voice Chat with Research Paper, Google scholar account, Breast Cancer Lymph Node Classification, The Role of AI in Breast Cancer Lymph Node Classification. I am based in Split, Croatia. I've successfully completed 5 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
Main technologies
3 years
1 Year
2 Years
2 Years
Potentially possible
Infobip
Deploy local codellama-7b model on Streamlit. Utilizing: - Codellama - Langchain - Streamlit
Streamlit app that allows users to voice chat with an uploaded PDF. Utilizing OpenAI and Cohere's API's. Specifically, using Whisper for speech to text, and an LLM from Cohere for semantic search and question answering
List of research projects and citations.
My PhD thesis project. The goal was to build/apply an explainable machine learning model for breast cancer lymph node classification, but only utilizing clinicopathological features.
Breast cancer affects countless women worldwide, and detecting the spread of cancer to the lymph nodes is crucial for determining the best course of treatment. Traditional diagnostic methods have their drawbacks, but artificial intelligence techniques, such as machine learning and deep learning, offer the potential for more accurate and efficient detection. Researchers have developed cutting-edge deep learning models to classify breast cancer lymph node metastasis from medical images, with promising results. Combining radiological data and patient information can further improve the accuracy of these models. This review gathers information on the latest AI models for detecting breast cancer lymph node metastasis, discusses the best ways to validate them, and addresses potential challenges and limitations. Ultimately, these AI models could significantly improve cancer care, particularly in areas with limited medical resources
Doctor of Medicine (MD) in
2013-01-01-2019-01-01
Master's degree in Artificial Intelligence
2022-01-01-2023-01-01