About Me
Computer science graduate and GenAI enthusiast with over 1.5 year of practical interactions with LLMs, experience in building an enterprise AI Agentic framework in MVP version, supporting many business use-cases getting started with AI Agents. Seeking to join a team of innovators and contribute to building state-of-the-art AI technologies.
Agentic AI Development
Built an enterprise AI Agentic framework in MVP version, supporting many business use-cases getting started with AI Agents.
LLM Observability
Leveraged LLM observability tools to monitor and analyze the performance of AI Agents.
Evaluation-Driven Development
Took into account the evaluation metrics to improve the performance of AI Agents.
Deployment
Deployed AI Agents in multiple environments.
My Background
I hold a Bachelor's degree in Computer Science from the Wrocław University of Science and Technology, where I completed CS courses with final GPA 4.56/5.00 and received a grade 'bardzo dobry' (very good) in Diploma.
Final thesis: Intelligent Assistant For Foreigners
This project was aimed to help foreigners in Poland to address challenges such as finding reliable legal information from Temporary Residence Permit application process, Visa, information about Universities, scholarship, schools and health insurance.
I successfully implemented a multi-lingual chatbot applying RAG techniques and using LLMs to answer users' questions.
Skills & Expertise
My technology stack focuses on building AI Agents frameworks and tools to support the development, deployment and monitoring of AI Agents.



Certifications
- Azure AI Fundamentals
- IBM Introduction to Artificial Intelligence
AI Research Interests
- Embedding Models
- Agentic RAG, multi-modal RAG
- Few-shot & Zero-shot Learning
- LLM quantization
Languages
- Vietnamese (Native)
- English (Fluent, C1)
- Polish (Intermediate, B1)
Featured Projects
Below are my thesis project and some of my side projects.
Professional Experience
Developing enterprise AI Agents framework MVP
- Analyzed AI Agent frameworks and created several Proof of Concepts for best suited one to be used in the whole company
- Developed an enterprise AI Agent framework integrating seamlessly with other AI Factory products, supported multiple use-cases which started to use the framework
- Created templates for building multi-agent systems, including human in the loop, agentic tools
- Built Agent memory service, LLM service and observability service
- Developed APIs for remote Agents being deployed to a shared Kubernetes cluster
- Tested solutions End to End, full unit test coverage
- Conducted or participated in many hackathons and trainings for the framework
Researching, adopting and implementing AI solutions using open-source LLMs and fine-tuned models
- Investigated open-source LLMs with prompt engineering techniques, LLMs quantization
- Leveraged LLMs for data augmentation in model training pipelines
- Fine-tuned sBERT models for a metaverse project with model benchmarking
- Built simple RAG applications for PDF documents chat
- Developed FastAPI services and deployed to on-premises infrastructure
Get In Touch
I'm always interested in new opportunities and collaborations. Feel free to reach out!