Aleksandar Loncar
Verified Expert in Engineering
Time Series Developer
Aleksandar is a passionate and highly skilled machine learning engineer with a strong background in software engineering and deep expertise in data science, particularly in the areas of deep learning and AI. He has a keen analytical mind and a talent for solving complex and challenging problems.
Portfolio
Experience
Availability
Preferred Environment
Git, Linux, Windows, MacOS, Jupyter
The most amazing...
...project I've fulfilled is creating new or adjusting algorithms for non-trivial problems.
Work Experience
AI Expert
Displace Inc
- Conducted thorough research and found effective hardware and software solutions for the task.
- Developed custom classifiers and scene reasoning models for lidar sensors.
- Developed a hand gesture recognition system using pre-trained key-point detection models.
AI/ML Developer
Mombe Genetic Investment
- Designed and trained several highly effective models for recognizing channel patterns in trading data for a stock analysis tool.
- Designed and developed a few NT8 custom tools for this purpose.
- Designed a user-friendly and intuitive server-client architecture for the deployment of those models.
Machine Learning Engineer
DIG Labs Corporation
- Conducted a thorough and comprehensive data analysis using machine learning and PyTorch for a healthtech startup.
- Created several advanced computer vision and machine learning models for classifying health-related data, achieving high levels of accuracy and precision.
- Created a custom framework for streamlining hypothesis cycles and model deployment, enabling faster and more effective experimentation.
AI Developer
Vous Music Group
- Acted as an AI developer for a crypto-based project. Developed a blueprint for incorporating machine learning models into the system, taking into account technical, business, and strategic factors.
- Developed a comprehensive plan for incorporating machine learning into a system of guilds in play-to-earn games, enabling more strategic and dynamic gameplay.
- Created a ranking system for multiple NFT collections.
Python Software Developer for 3D Algorithm Project
Radical Solutions, Inc.
- Conducted a comprehensive analysis of time series data from bone and joint movements, uncovering key trends and patterns.
- Used a combination of research and experimentation to tackle this difficult issue.
- Created a robust and scalable rule-based classifier for body pose analysis using 3D skeleton data.
Data Scientist | Quant Researcher
TickUp
- Created models for forecasting time series, performed research on machine learning approaches in the field, time-series trend changes analysis and modeling, and more.
- Analyzed several data, performed data quality checks, and cleaned pipelines.
- Operated on datasets provided by Bloomberg and similar providers.
Machine Learning Engineer
Symphony
- Developed a machine learning solution that can find forest edges from satellite imagery.
- Worked as a machine learning engineer on this project, responsible for the R&D process. Analyzed data sources and organized training and inference pipelines for machine learning models in cloud environments.
- Delivered state-of-the-art solution for the selected computer vision problems.
Machine Learning Engineer
Symphony
- Developed a machine learning solution that can estimate building roof attributes (predominant pitch, eave height, story count) from (synthetic) point cloud data and areal imagery.
- Worked as a team lead and machine learning engineer on this project, responsible for the R&D process.
- Analyzed data sources and applied classical algorithms from computer vision and Point cloud domains, and machine learning algorithms.
- Conducted experiments to find the best fitting ML solutions for ML classification and regression models. He also experimented with custom loss functions and data pre-processing based on recent papers.
Data Scientist | Full-stack Developer
Atturo
- Created a system that forecasts future sales based on historical data—time series analysis. The system is used for internal purposes.
- Developed a web application that allows users to upload historical data (sale data, inventory data, and more), list top-selling items, view trends per warehouse, and make forecasts for future periods.
- Built a system that optimizes warehouse management.
Machine Learning Engineer | Computer Vision
Faculty of Transportation Sciences (via Toptal)
- Developed a PoC drone traffic analysis based on computer vision and deep learning algorithms.
- Researched SotA approaches (papers and solutions) for object detection and object tracking based on video from an aerial perspective: Surveillance cameras, drones/planes, and satellites.
- Found suitable train datasets for the use case and trained object detectors in AWS cloud.
Computer Vision R&D Engineer | Team Leader
Ottometric
- Developed computer vision and deep learning algorithms.
- Led the analytics team. Worked on computer vision and ML/data science solutions for ADAS (advanced driver assist systems) validation and analyzed terabytes of test drive data.
- Scaled up ML and other software solutions in the cloud environment(s).
Senior Software Engineer, Machine Learning Engineer
USoft
- Developed full-stack machine learning pipelines for both a training and production environment in Python.
- Involved in the development of a face recognition system based on deep learning: A machine learning project developed on the TensorFlow framework.
- Developed a machine learning model based on transfer learning for leaf counting (plant phenotyping).
- Developed many regression and classification models for tabular data.
- Maintained, optimized, and developed some features in a voice authentication system. Responsible for the SIP proxy app that bridges incompatibility between the PBX and their SIP stack.
Data Scientist
Brisqq LTD
- Performed time series analysis and forecasting.
- Participated in courier tiers optimization.
- Developed model for next delivery prediction, time and geo-location. Part of the recommendation system for couriers.
- Performed geo-location clustering based on data history.
- Made a model that classifies couriers based on their performances.
Senior Software Developer, Development Team Leader
Danulabs
- Tasked with making enterprise cloud-based software solutions for medical practices and other entities in the domain of healthcare.
- Developed enterprise software architectures with multi-tenant database models.
- Led a team of 6+ members, coordinated between UI/UX designers, front-end and back-end devs, and other participants.
Software Developer
Danulabs
- Developed custom web applications.
Experience
Couriers Delivery Forecasting System
Face Recognition System
Because it is trained on best-known datasets, it is very robust to illuminance, image blur, head pose variation, gender, and ethnicity.
Warehouse Sales Forecasting System
I was a full-stack developer and a data scientist. The core of the system is a machine learning model that forecasts sales per warehouse, it consumes historical sales and inventory levels data. The app has rich data visualizations (graphs and trends) and role-based access control, deployed in AWS.
Skills
Languages
Python, C#, C++
Libraries/APIs
Keras, PyTorch, TensorFlow, Pandas
Tools
Amazon SageMaker, Jupyter, Git
Paradigms
Data Science
Other
Artificial Intelligence (AI), Amazon Machine Learning, Google Cloud Machine Learning, Image Recognition, Time Series, Time Series Analysis, Machine Learning, Deep Learning, Computer Vision, Forecasting, Data Analysis, Sales Forecasting, Point Clouds, Software Development, 3D, Prototyping, 3D Geometric Analysis, AI Design, System Design, Data Engineering, Data Analytics, Neural Networks, Artificial Neural Networks (ANN), LiDAR
Storage
MySQL, Redis, Microsoft SQL Server, Elasticsearch, MongoDB
Frameworks
ASP.NET, Angular, .NET, Flask
Platforms
Windows, Linux, Google Cloud Platform (GCP), Azure, MacOS, Amazon Web Services (AWS), Docker
Education
Master's Degree in Computer Science
University of Novi Sad - Novi Sad, Serbia
Bachelor's Degree in Computer Science
University of Novi Sad - Novi Sad, Serbia
Certifications
Deep Learning Specialization
Coursera
Convolutional Neural Networks
Coursera
Sequence Models
Corsera
Neural Networks and Deep Learning
Coursera
Structuring Machine Learning Projects
Coursera
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
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