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.
Creating and developing innovative software solutions for clients across a broad range of industries.
Participating in scrums consisting of cross-functional teams, both software and hardware.
Ensuring that features are being delivered efficiently and on time.
Leading a team of 10 technical personnel in producing and maintaining a product used by 10,000 users daily.
Working on advanced anti-scam detection software on the market, analyzing more than 1 billion Ethereum transactions per second.
Developed software solutions, integrated back-end services, and wrote ML algorithms for Outpost's resource-constrained system.
Defined the technical specifications and wrote the whole system architecture for a chatbot service on the system.
Analyzed the impact of solutions on the system for technical review to ensure its robustness, efficiency, future maintainability, and supportability.
Participated in the development of a Machine Learning workflow, identifying the right ML architectures and models for the solution.
Worked with multiple stakeholders to deliver a document classification service.
Defined new techniques and ML best practices and provided feedback to teams to improve in-house tools.
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.
Wrote and implemented API solutions for Everseen.
Integrated a Computer Vision solution with sensors and actuators through Go back-end service.
Used a mix of first principles, computational, and experimental methods on projects.
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 enables remote communication using satellite hotspots.
The app integrates with multiple satellite operators for seamless connectivity.
It allows users to use mobile devices' features (calls, texts, email, browsing) globally.
Developed an integration service for Everseen, enabling real-time tracking, mapping, and analysis of people, products, and processes.
The solution is part of a large Machine Learning project in development.
The service is designed for checkout-free and autonomous storefront functionality.
RapidCAPTURE utilizes an AI layer for advanced imaging and document ingestion.
The solution reduces costs and errors through cost-effective imaging and document conversion.
RapidCAPTURE boasts a 99% accuracy classification.
