09/12/2026 updated
100 % available
Senior AI Engineer | LLM Agents, GenAI & Document AI | AWS Certified Architect | MLOps | 8+ yrs
Bilje, Croatia
Only remote
M.S. Computer Science (Data Science) and B.S. Computer Science, FERIT Osijek, 3 peer-reviewed papersAbout me
Expert in AI with 8+ years of experience, specialized in ML, MLOps, and AWS, in both development and research settings. I help startups and enterprises design and implement end-to-end AI systems, from data collection, through model development, to deployment.
Data MeshBedrockSageMakerLangChainArtificial IntelligenceAmazon Web ServicesOptical Character Recognition (OCR)Computer VisionInformation RetrievalPython (Programming Language)PostgreSQLMachine LearningNatural Language ProcessingTensorFlowSpeech Recognition
Machine Learning & Deep Learning
Expertise in designing, training, and deploying machine learning and deep learning models, including transformer-based neural networks, NLP, conversational AI, and speech recognition systems. Hands-on experience with PyTorch, TensorFlow, Keras, HuggingFace, and SageMaker across multiple production environments.
Generative AI & LLM Engineering
Extensive experience in building and deploying generative AI systems, including LLM training, fine-tuning, and agentic AI architectures. Proficiency with LangChain, LangGraph, OpenAI, Gemini, Anthropic, AWS Bedrock, and DeepAgents for end-to-end AI product development.
AWS & MLOps
Deep expertise in AWS cloud infrastructure and MLOps, including system architecture, scalability, and reliability. Certified AWS Solutions Architect with hands-on experience in SageMaker, EC2, ECS, S3, RDS, Lambda, Lake Formation, Terraform, and end-to-end infrastructure design.
Natural Language Processing (NLP)
Solid background in NLP tasks including semantic question answering, sentiment analysis, text classification, and speech-to-text. Application of NLP in production systems for audio quality control, call center analytics, and document understanding.
Computer Vision
Experience in computer vision applications including OCR using Vision Language Models (VLMs), parking occupancy detection, and neural style transfer. Development of novel approaches for extracting and structuring visual information from documents.
Data Engineering & Data Infrastructure
Design and deployment of enterprise-grade AWS Data Mesh solutions, multi-region data platforms, and data pipelines. Proficiency with Lake Formation, Glue, RDS, SNS, and Terraform for scalable and governed data infrastructure.
Speech & Audio AI
Development of end-to-end speech recognition systems, speaker diarization, voice activity detection, text-to-speech models, and audio data sorting. Experience with Whisper architecture, Nvidia Nemo, and custom audio preprocessing pipelines.
AI System Architecture & Technical Leadership
Ownership of core AI platform architecture from system design to engineering execution, including technical estimation, roadmapping, and leading engineering teams. Experience advising CEOs on AI strategy and managing Series A startup environments.
Python & Software Engineering
Proficiency in Python as the primary programming language for AI and ML development. Experience with Docker, FastAPI, PyTorch, Streamlit, and various ML frameworks for building and packaging production-ready AI solutions.
Expertise in designing, training, and deploying machine learning and deep learning models, including transformer-based neural networks, NLP, conversational AI, and speech recognition systems. Hands-on experience with PyTorch, TensorFlow, Keras, HuggingFace, and SageMaker across multiple production environments.
Generative AI & LLM Engineering
Extensive experience in building and deploying generative AI systems, including LLM training, fine-tuning, and agentic AI architectures. Proficiency with LangChain, LangGraph, OpenAI, Gemini, Anthropic, AWS Bedrock, and DeepAgents for end-to-end AI product development.
AWS & MLOps
Deep expertise in AWS cloud infrastructure and MLOps, including system architecture, scalability, and reliability. Certified AWS Solutions Architect with hands-on experience in SageMaker, EC2, ECS, S3, RDS, Lambda, Lake Formation, Terraform, and end-to-end infrastructure design.
Natural Language Processing (NLP)
Solid background in NLP tasks including semantic question answering, sentiment analysis, text classification, and speech-to-text. Application of NLP in production systems for audio quality control, call center analytics, and document understanding.
Computer Vision
Experience in computer vision applications including OCR using Vision Language Models (VLMs), parking occupancy detection, and neural style transfer. Development of novel approaches for extracting and structuring visual information from documents.
Data Engineering & Data Infrastructure
Design and deployment of enterprise-grade AWS Data Mesh solutions, multi-region data platforms, and data pipelines. Proficiency with Lake Formation, Glue, RDS, SNS, and Terraform for scalable and governed data infrastructure.
Speech & Audio AI
Development of end-to-end speech recognition systems, speaker diarization, voice activity detection, text-to-speech models, and audio data sorting. Experience with Whisper architecture, Nvidia Nemo, and custom audio preprocessing pipelines.
AI System Architecture & Technical Leadership
Ownership of core AI platform architecture from system design to engineering execution, including technical estimation, roadmapping, and leading engineering teams. Experience advising CEOs on AI strategy and managing Series A startup environments.
Python & Software Engineering
Proficiency in Python as the primary programming language for AI and ML development. Experience with Docker, FastAPI, PyTorch, Streamlit, and various ML frameworks for building and packaging production-ready AI solutions.
Experience
Professional experience5 - 10 years
Freelancer since2022
Languages
GermanBasic knowledgeEnglishFluentCroatianNative speaker
Project history
Owner of Intelligentia, an AI research and development company. Offering experience across the full AI lifecycle: from leading AI research and development, to designing AI products, systems, and infrastructure, to advising CEOs on AI strategy.
Advised FileAI on agentic AI direction and shipped SuperAgent, the company's customer-facing AI assistant that searches a company's own documents, reasons over what it finds, answers with grounded citations, and generates polished PDF reports.
Led AI strategy and development for a Singapore startup building world-class data extraction and data entry automation technology for files. As a direct report to the CEO, owned the company's core AI platform end-to-end, from system architecture across AI and AWS, through technical estimation and roadmapping, to leading and overseeing engineering execution. Series A raised 14M USD.