Aleksa is a Senior Software Engineer with broad expertise and technical insight in back-end development and Machine Learning solutions. He uses Go as his primary tech stack on projects with PostgreSQL and AWS and harmonizes agile processes with Jira for project management. Aleksa delivers Machine Learning systems using Python and Data Science technologies like NumPy, Pandas, TensorFlow, and Keras.
Founded an outsourcing company that delivered project management software.
Built the first-ever LLM-based project management solution to use with any language in order to set up workspace easily, onboard a team, and organize the work hassle-free.
Led the development team and conducted POC for architecture validation of the project management platform.
Developed the back-end API and business logic for client access to the added-value platform/Android application for satellite communication.
Implemented the complete workflow of the solution from planning to release, optimizing and securing both Go code and PostgreSQL scripts.
Handled the transfer from monolith server architecture to microservices communicating through gRPC, making the system faster, more robust, and easier to maintain.
SatBridge makes anywhere, anytime, any situation communications a reality by giving organizations, remote workers, and individuals the ability to use all features of their mobile devices using a satellite hotspot. Companies and consumers can remotely connect to networks with satellite hotspots that instantly enable the full capabilities of their mobile devices, with their numbers, to talk, text, email, and browse wherever they are in the world. Wrote the Android app and handled the app integration with the satellite for communication with multiple satellites through a smartphone using specific AT commands for each different satellite operator.
Developed 0Line, an integration service for Everseen that works as a checkout-free and autonomous storefront solution allowing for real-time tracking, mapping, and analysis of people, products, and processes for business process improvement. Worked on the delivery of the integration service for a demo delivery in a week. The solution is part of a large Machine Learning project, which is still in development.
RapidCAPTURE's Cognitive Capture solution is powered by an AI layer that uses NLP and ML for advanced and cost-effective imaging and document ingestion and converts unstructured content to structured format. It allows users to drive down costs and reduce errors. The solution has a 99% accuracy classification.
Education
Online graduate studies in Computer Science, Machine Learning specialization
