Loka Core^™

Nic O'Brien is the WW Partner Lead for MAP at AWS. In his role, he collaborates with top partners like Loka. He provides expert industry insights, guidance, and strategic support to help organizations leverage the MAP framework to modernize legacy applications and achieve seamless cloud migrations.

Falko Sieverding is an Applied AI Engineer at OpenAI, helping engineering teams adopt and improve agentic workflows across the software development lifecycle. He brings more than 20 years of experience across enterprise infrastructure, DevOps, application security and AI engineering. He works hands-on with teams to understand their existing workflows and build useful AI integrations, with security and the realities of enterprise IT in mind.

Emma Scharfmann is a research ML engineer at Hugging Face, on the AI for science team. After doing research on how science translates into patents at UC Berkeley, she now works with the scientific and open-source community to build AI tools that help advance science. Currently, she focuses on AI for weather forecasting, and more broadly, on making open-source AI models and datasets more accessible and usable by everyone.

Telmo Felgueira is a Machine Learning Engineering Manager at Loka, where he co-leads applied research in AI for science, from biological foundation models to AI agents for scientific workflows. He has eight years of experience in machine learning, with expertise in deep learning, probabilistic modeling, time series and model explainability. Before Loka, he was ML Lead at an AI predictive maintenance startup. He also organizes PyData Lisbon.

Bojan Jakimovski is a Machine Learning and Applied Research Lead at Loka, an AWS Ambassador, 9x AWS Certified engineer, and College Professor at Brainster Next. He works at the intersection of applied GenAI, inference infrastructure, MLOps, and cloud-native AI systems, helping teams move models from experiments into production. He is active in open source and research, with interests spanning LLM pre-training and post-training, small language models, synthetic data generation, and distributed systems, and recent work on open-source model experiments and production deployments using AWS Trainium and Inferentia.

Bojana Cvetkovska is a Senior Machine Learning Engineer and Tech Lead at Loka, and a Claude Certified Architect. She scopes and architects AI and ML solutions for clients in healthcare, media, finance, and industry, turning ambiguous business problems into technical designs. Her work spans classical ML, GenAI and agentic systems, document intelligence, and large-scale graph processing on AWS.

Kiril Zelenkovski is a DevOps Lead at Loka, specializing in cloud architecture, MLOps, and Generative AI. He has extensive experience designing scalable AWS infrastructure and production-grade AI systems, with expertise in cloud-native technologies, infrastructure as code, and cloud automation. He holds 15 AWS certifications, is an AWS Subject Matter Expert (SME), and is currently completing a Master's degree in Data Analytics and Statistics. Before Loka, he was a Research Associate at the Macedonian Academy of Sciences and Arts, where he worked on modeling stochastic processes, complex networks, and machine learning.