AI Engineer | MS Data Science Student
Experienced AI Engineer with 2+ years of expertise in computer vision, natural language processing, and machine learning model optimization. Currently advancing my knowledge through a Master's program in Data Science at the University of Wrocław.
As an AI Engineer with over 2 years of professional experience, I specialize in developing, optimizing, and deploying machine learning solutions across computer vision and natural language processing domains. My expertise encompasses model quantization, edge computing implementations, and cross-functional collaboration to integrate AI capabilities into production systems.
My professional journey has been driven by a commitment to transforming complex data into actionable insights. Through my role at Miko and academic pursuits at the University of Wrocław, I continue to explore innovative approaches to solving real-world challenges using state-of-the-art machine learning techniques and emerging AI technologies.
Programming
AI/ML
Image Processing
Text Analysis
Cloud Platform
Containerization
Analytics
Version Control
Engineered an advanced natural language processing system leveraging large language models to generate concise, context-aware chat summaries. Fine-tuned BART architecture on real-world conversation datasets, implementing a comprehensive MLOps pipeline encompassing training, evaluation, inference, and production deployment.
Developed and fine-tuned state-of-the-art SWIN-Transformer architecture for multi-domain image classification tasks. Achieved exceptional accuracy across diverse applications including fire detection systems, agricultural plant disease diagnosis, and species recognition, with optimized model performance for production deployment.
Architected and deployed a comprehensive machine learning platform for predictive animal health analytics during tenure at FlixDrop CHMS. Conducted extensive exploratory data analysis to uncover critical health patterns, developed robust predictive models, and successfully implemented the solution in production veterinary environments.
DeepLearning.AI
Comprehensive program covering machine learning fundamentals, algorithms, and practical applications with hands-on projects and real-world case studies.
DeepLearning.AI
Advanced NLP techniques including sentiment analysis, machine translation, chatbot development, and transformer architectures.
Google (Coursera)
Comprehensive data analytics program covering data collection, cleaning, analysis, visualization, and storytelling with data.
University of California San Diego
Advanced algorithms and data structures for efficient problem-solving, optimization, and computational thinking.
I welcome opportunities to discuss innovative AI projects, potential collaborations, or insights in the evolving landscape of data science and machine learning.
Wrocław, Poland