Hello! I'm
AI Engineer & Data Scientist
8+ years of experience designing and delivering production AI solutions across Cloud environments. Academic background in Applied Mathematics, with industry experience in NLP, Computer Vision, Agentic AI, Voice Agents, and RAG systems.
Skilled in architecting microservices and end-to-end AI applications, translating complex technical challenges into business-oriented solutions. Strong collaborator and knowledge sharer, with a passion for technical brainstorming, mentoring, and driving innovation across multidisciplinary teams.
I'm a Senior AI/DS Engineer at Codetribe, where I lead AI initiatives across the organization, driving awareness, capability, and adoption through knowledge-sharing sessions and cross-functional collaboration.
Beyond that, I've had the chance to work on a diverse range of AI projects, including Voice Agents, Chatbots, and Multi-Agent Systems, with a focus on delivering practical business impact. I'm also contributing to a global leader in the media and entertainment industry by building AWS Lambda functions to automate and optimize CRM.
Besides working on projects, provided mentorship to colleagues and actively participated in presales engagements, project estimations, and discovery phases.
Worked in Vega IT Omega on various projects as a Data Scientist, contributing to the development of MVPs and POCs. Mentored interns during their internships.
Designed and prepared data pipelines for entity resolution, including developing scoring logic and feature engineering. Retrieved data from APIs and supported ML model evaluation through data transformation and analysis.
More about my internships can be found on my LinkedIn page.
After graduating with a degree in Applied Mathematics, specializing in Financial Mathematics, I successfully completed all the coursework and examinations for a Master's degree in Data Science. As part of my Master's studies, I had the opportunity to conduct my thesis research in Lisbon, in collaboration with the Department of Informatics at NOVA University Lisbon (Faculdade de Ciências).
For this work, I received an Honorary Mention from the Mathematical Institute of the Serbian Academy of Sciences and Arts in the field of computing for M.Sc. students.
I explored graph-based strategies for visual storytelling, modeling image transitions as a path optimization task over a BDAG.
Implemented an Azure-hosted solution with a vector database and RAG pipeline for analyzing internal bank documents in combination with scraped data.
Researched and analyzed the best approach for building a personalized AI agent powered by OpenAI's API, exploring core capabilities such as speech-to-prompt, image generation, and document processing to create an AI assistant. Designed the architecture.
NLP engineer responsible for the flow of NLP models: researching and developing solutions for different NLP tasks, preprocessing and preparing data, and deploying an API in a microservice architecture with CI/CD pipelines.
Data Scientist responsible for exploring approaches, prompt engineering, and validating results on real-world examples. Implemented an AI service that extracts information from financial documents.
Data Scientist and Team Lead on a Computer Vision project: a cloud-hosted platform designed to help farmers monitor the biodiversity of their farms.
Prepared and adapted data for entity resolution and wrote scenarios for data scoring. Successfully guided colleagues from abroad through the certification process.
Retrieved data from external sources using APIs, transformed data, calculated feature importance, and tested machine learning models.