Hi, I'm Petr Nguyen
AI & ML Engineer
Experienced AI Developer & ML Engineer with diverse experience across industries, specializing in Python programming, predictive modelling, deep learning, cloud deployment, and AI solutions.
About Me
Get to know me better
Who I Am
I'm an experienced ML Engineer / AI Developer / Python Developer / Data Scientist with diverse experience across industries including banking, Big 4 consulting, start-up, and non-profit sectors. Currently, I work as a Data Scientist / Gen AI Developer at BigHub, helping enterprises leverage AI for a data-driven edge.
I also serve as an AI Engineer Consultant at HR-tech start-up LutherOne, where I provide AI expertise to deploy and integrate LLM features into products. My excellence lies in Python programming, predictive modelling, deep learning, cloud deployment, machine learning, web app development and AI.
I'm currently finishing my 2nd Master's degree in Data & AI and work at a non-profit IT organization as a Data Science and Python Mentor.
Core Expertise
Python Development
Expert in Python programming, data science, and ML libraries
AI & Machine Learning
Deep learning, predictive modeling, and LLM applications
Cloud Computing
AWS, Azure, Docker, and serverless deployment
Web Development
Full-stack development with modern frameworks
Data Engineering
Data processing, pipelines, and database management
DevOps & CI/CD
Automated deployment and infrastructure management
Languages & Technologies
Programming Languages
Cloud & DevOps
AI & ML
Experience
My professional journey
Data Scientist | GenAI Developer
- Helping business to develop custom AI solutions, including predictive modelling or OCR and LLM-based applications.
AI Engineer & Architect Consultant
- Providing consultancy services and AI expertise to a HR-tech B2B start-up, including LLM deployment and integration into a platform product, AI tasks automation, RAG systems, AI agents, and other AI/ML support for a Data Science team.
AI & Data Science Mentor/Coach
- Volunteering at a non-profit organization helping women to enter the IT world. Mentoring 2 students in Digital Academy and consulting their project. Coaching classes in AI, Python programming and Data Science.
Lead AI & ML Engineer
- Senior lead of AI and ML team at a HR-tech B2B start-up, responsible for delivery of LLM integration into the product, AI automation of processes, mentoring two junior ML engineers and data scientists, overseeing attrition modelling development, partial development of the backend microservices.
Machine Learning Engineer
- ML engineering at a HR-tech B2B start-up with a responsiblity for attrition modelling, natural language processing, web application development, data processing pipelines development and deployment.
Data Scientist
- Advanced analytics at one of the Big 4 consultancy companies, development of ML solutions in electromobility and energy sector, including energy consumption forecasting or heuristic algorithm for synthetic generation of EV utilization.
Full Stack Developer
- Development of a custom algorithm and web application for skills matching of volunteers for project engagement at Czech non-profit IT organization (3rd place in Data Challenge 2023).
Data Science & Financial Risk Modeller
- Quantitave modelling at one of the Big 4 consultancy companies providing services in the field of credit risk modelling, including validation and back-testing of credit risk models, statistical modelling, audit support, ML research and development.
Projects
Showcasing my latest work and achievements
AI-Powered OCR Financial Analyzer
Deepnote hackathon winning project
LLM integration into HR-tech Product Platform
Integration of LLM's into HR-tech platform for people engagement, feedbacks and people development.
OCR for Insurance Claims
Extraction of information from both structured and unstructured documents within automated insurance claims procesing pipelines, including document classification, OCR/LLM based extraction and asynchronous API development.
Serverless Pipeline for Employee Comments Processing
Automated and cost-friendly analysis of employee comments, deployed in AWS, which performs comments translations, sentiment analysis, and topic modelling.
Employee Attrition Modelling
Predictive modelling of of leaving employees, with main focus and data cleaning, custom algorithms for treating missing values and feature selection, and ensemble modelling
Internal LLM-based Web Apps
Web application development for automation of internal tasks, mainly in Data Science team and Customer Success/Experience team (e.g., chatbots, data analysis, PowerPoint preparation, Excel preparation, text summarization, report generation, etc.)
Education
My academic background
Master's in Data and Analytics for Business
- Thesis: Deployment of LLM-based Applications in AWS (in progress)
- Coursework: Cloud Computing, Python Programming, Agile ML Development, Cloud BI, Data Architectures, SSBI
- Extracurricular Activity: Data and Business Alumni Club
- 3rd place in Data Challenge 2023
- Scholarship for exceptional academic results
Master's in Banking and Insurance
- Thesis: Application of Machine Learning Models within Credit Risk Modelling
- Minor Specialization: Data Engineering
- Coursework: Time Series Modelling, Risk Management, Monetary Economics, Asset Management, Business Intelligence, Database Systems, Data Mining
- Extracurricular Activity: Prague Banking Club
- Award for an excellent Master's thesis (ESOP)
- TOP 25 of Werner von Siemens Award
- 2nd place at Atlas Copco Services Award
- Scholarship for exceptional academic results
Master's Erasmus+ Exchange
- Coursework: Data Science, Econometrics, Financial Engineering
- Extracurricular Activity: AXA Data Science Challenge 2021
Bachelor's in Banking and Insurance
- Thesis: Bank Guarantees and Documentary Letters of Credit
- Coursework: Financial Mathematics, Insurance Mathematics, Statistics, Econometrics, Financial Analysis, Accounting, Capital Markets, Taxes, Corporate Finance, Banking
Get In Touch
Let's work together
Contact Information
I'm always interested in new opportunities and collaborations. Whether you have a question or just want to say hi, feel free to reach out!