Hire the Best Machine Learning Engineers
in Serbia

I am an AI Engineer with expertise in machine learning, computer vision, predictive modeling, and advanced data analytics. My experience spans the entire machine learning lifecycle—from data preprocessing and model development to deployment on both cloud and edge platforms. I enjoy building intelligent systems that combine technical precision with real-world impact. With a strong foundation in Python, SQL, AWS, and Databricks, I have applied advanced modeling techniques to solve challenges in object detection, identity verification, forecasting, and visual analytics. My background also includes applying data analysis, event post-processing, and dashboard creation to transform raw data into actionable insights for decision-makers. I hold a Master’s degree in Electrical Engineering with a focus on Artificial Intelligence and Data Processing. I am passionate about innovation and thrive at the intersection of research and application, where I can leverage AI to create scalable, data-driven solutions that deliver measurable business value.

CEO @ tradersmarket.io - Coding in MQL4/5 - Coding in Python/C++ and cloud infrastructure (AWS) - Guidance in developing a trading strategy mainly for currency markets(Foreign Exchange - FX). -Optimizations on existing trading strategies. -Help with coding strategies in both MQL4 and MQL5 languages. -Making a trading plan from start till end.

As an adept Data Scientist and Machine Learning Engineer, my proficiency extends beyond theoretical knowledge into practical applications, utilizing the most prominent libraries and frameworks in the industry. My expertise in Python is complemented by a thorough command of libraries such as NumPy for numerical data manipulation, Pandas for data structuring and analysis, and Matplotlib and Seaborn for data visualization. For machine learning, I rely on Scikit-learn for implementing various algorithms and TensorFlow and PyTorch for building and training advanced neural network models. In the realm of deep learning, Keras serves as my go-to for high-level neural networks API, facilitating rapid experimentation. To enhance model performance and scalability, I employ Apache Spark for big data processing and Hadoop for distributed storage and processing. Additionally, my experience with AWS Cloud services includes leveraging Sagemaker for deploying models and managing machine learning workflows efficiently. Furthermore, I have expertise in LangChain for advanced language models, MLflow for tracking and managing machine learning experiments, and large language models (LLMs) through the OpenAI API for creating sophisticated natural language processing solutions. This comprehensive toolkit, encompassing both classic data science methods and cutting-edge machine learning technologies, underscores my capability to tackle complex data challenges and drive impactful solutions in a wide array of industry applications. My skill set reflects a blend of theoretical understanding, practical expertise, and a continuous quest for staying updated with the evolving landscape of data science and machine learning.

A seasoned AI/ML engineer and data scientist with 8 years of experience behind me. My specialty is designing and building complex AI systems, focusing on business requirements and big-picture. If you hire me, I will not only employ the best model for your use case, but also: - Design the best architecture for your system, leveraging your environment and satisfying your requirements. - Integrate it in your system. I am profficient with AWS/GCP and Kubernetes, and have developed many services leveraging AI models at scale. - Deploy state-of-the-art micro-services using fastAPI, Flask, Sagemaker, Kubernetes or whatever tool you require. - Ensure best performance possible, weather you need low-latency real-time solutions, or high-volume data processing systems. - Set up monitoring for your system, so you never miss anything that happens and can react accordingly. - Fine-tune your LLM, build a successful AI agent, or find a better solution when there is one! If you recognize your requirements above, reach out, I'd be happy to help!

I have hands-on experience in both frontend and backend development, and I'm passionate about solving technical challenges. Here are a few of my personal projects where I’ve applied my expertise: RUDIGRAM - Social Network (HTML, CSS, JavaScript, PHP) Github link: github.com/andrejarudolf23/rudigram InsideMapsOrganizationStatsProject (HTML, CSS, NodeJS) Github link: github.com/andrejarudolf23/InsideMapsOrganizationStatsProject MELODIFY - Online music streaming website (HTML, CSS, JavaScript, PHP) Github link: github.com/andrejarudolf23/Melodify ROOGLE - Google search engine clone (HTML, CSS, JavaScript, PHP) Github link: github.com/andrejarudolf23/roogle-google-clone I’m always looking to expand my skill set and tackle new challenges, so feel free to reach out!

Learn through data analysis, would be the tag line for me. I am a machine learning engineer/data scientist with NLP research background and 20 years of experience. In the last few years I worked mostly on large scale search systems dealing with number of NLP applications -- including use of LLMs and genAI technology as well as more classical techniques. Big data ecosystems is where I work best and I have worked on systems with millions of users, 100s of milions of documents (data points), and petabytes of data. Project I was involved in helped streamline startups with their initial ML endeavours or helped estabilished companies keep up or catch up with the newest technologiest. Teams I worked with ranged from a group of founderst to teams numbering thousands and I am fairly comfortable in both situations.