Welcome
Hey! I'm Hania Jarlaczyńska, an AI Engineer. I've been in the AI space for the past 6 years, moving through different roles: from research, through strong client-facing work, to productizing AI solutions at the scale of millions of products. I also enjoy talking about it at conferences.
When I'm not in front of a computer, I run, cycle, and train gymnastics.
Collaboration? Let's get in touch.Work Experience
AI Engineer
Tesco Technology
March 2025 - Present
Co-developed Tesco's Product Intelligence platform, enabling internal teams to operationalize AI at scale. Designed, evaluated, and productionized GenAI solutions using Retrieval-Augmented Generation and few-shot prompting, supporting enrichment of over 1M products in a live system. Built and maintained backend services in Python and Java, deployed via Docker and Kubernetes on Azure. Worked with PostgreSQL and Couchbase, with observability and incident handling through Splunk and Zendesk.
Data and Software Engineer
Unit8
January 2024 - March 2025
Delivered custom, production-grade AI solutions for enterprise clients using Palantir Foundry and Large Language Models, including systems supporting carbon footprint calculations. Designed and implemented a Generative AI chatbot on Microsoft Azure using Retrieval-Augmented Generation. Built end-to-end applications with Python, FastAPI, Bicep, and React, covering backend services, infrastructure as code, and user-facing interfaces.
Deep Learning Framework Software Intern
Intel Corporation
July 2022 - December 2023
Worked on deep learning frameworks with a focus on Graph Neural Networks. Contributed to path-based GNN solutions in DGL, achieving up to 4x speedup, and benchmarked distributed GNN training on AWS. Improved MXNet with operator fusion and quantization. Collaborated with internal teams and clients, delivering presentations and technical knowledge-sharing sessions.
Education
Master of Engineering
AGH University of Kraków
Computer Science and Intelligent Systems, 2020 - 2025
Master's thesis: Knowledge Graphs for Retrieval-Augmented Generation (graduated with honours). Engineer's thesis: Graph Neural Networks in Recommendation Systems (graduated with honours). Awarded the academic excellence scholarship three times for top GPA and research achievements. Active member of AI- and ML-focused student research groups.
Member of the Board
Glider
August 2021 - October 2024
Co-created AI lab exercises for AGH UST students on search and reinforcement learning. Conducted RL research, contributing to abstracts accepted at a Machine Learning Summer School and developing TensorFlow models for Kaggle competitions. Organized an AI reading group that evolved into a seminar on research and industry trends. Represented the group at student research conferences, winning 2nd and 3rd place for AI projects.
Software Developer
AGH Space Systems
August 2021 - October 2024
Member of a multidisciplinary team in a leading student rocket program. Developed a Python/Kivy app for rocket hardware management during engine tests and pre-flight checks. Presented technical work at AGH Cyfronet Open Days and outreach events. Contributed to projects earning 3rd and 4th place at Spaceport America Cup (2022, 2023) and co-authored research on rocket ground systems, winning 3rd place at the Student Research Groups' Conference.
Achievements
🎤 InfoShare Katowice 2025
December 2025
Speaker at InfoShare Katowice 2025, the largest tech festival in Central and Eastern Europe, presenting production-scale AI systems at Tesco Technology and the enrichment of over 1 million products.
👩💼 LeaderSHEp in Tech Academy
2025
Mentee in the LeaderSHEp in Tech Academy, an 8-month leadership program combining mentorship, hands-on workshops, and collaborative Tech for Good projects in the technology sector.
🏆 1st Place - ensambleAI Hackathon
March 2025
Contributed to a first-place solution by developing an AI agent for a turn-based, player-versus-player strategy game involving ships, planets, resource management, and combat.
🚀 First Ascent - Milan Tech Workshops
December 2024
Selected as one of the 20 top computer science students in Poland for First Ascent Poland, a four-day intensive technical workshop program in Milan organized by Bending Spoons.
Publications
Differentially Private Federated Learning for High-Accuracy Carbon Footprint Prediction that Protects Sensitive Industrial Data
NeurIPS 2025
Research on privacy-preserving machine learning techniques for industrial applications, combining federated learning with differential privacy to enable collaborative AI while protecting sensitive data.
AI w firmie: FOMO i pośpiech to źli doradcy
XYZ, December 2025
Article and interview discussing best practices for AI adoption in business, warning against hasty implementation driven by fear of missing out.
"Grażyna" sounding rocket mission control software
Meet the Space 2024
Article presenting Grażyna Mission Control Software, highlighting its role in telemetry, subsystem control, and safe rocket testing at AGH Space Systems.