About
I'm a transitioning (from software testing to...) junior machine learning engineer who has gathered lots of experience with developing AI-powered solutions across multiple sectors, ranging from healthcare to finance, for roughly 3-4 years now, within and outside of academia.
While a model that pairs high generalizability with strong accuracy might be appealing, I draw value and confidence from different sources—all related to the way a solution comes together. For instance, a flawed development cycle brings about a model whose decision-making remains opaque. Similarly, an overoptimistic approach forces developers to sail through a sea of technical debt and wasted time just to find ideal hyperparameters, even though the underlying data remains garbage. Ultimately, a less knowledgeable project manager will lean toward adopting an AI-powered solution, even when readily available, less intricate, and far less expensive alternatives already exist. All these pitfalls I had encountered and found myself trapped in across the numerous projects (roughly 8) I implemented, all of which turned out successful after careful and mindful consideration of the implicit assumptions and givens.
Only then were culprits and setbacks uncovered. Only then did we discover how not realistic enough synthetic data might twist model performance to be high in both accuracy and false negatives and consequently lead us to believe that 8 out of 10 patients suffering from a severe illness actually shouldn't see the interior of a CT scanner. Only then did we discover that predicting balances of foreign branches is possible in theory but not applicable in practice due to improper handling of accounting maintenance. Only then did I figure out that a sound execution will lead to a flawless result, be it disappointing or encouraging.
Junior Machine Learning Engineer
Few details in case you want to get in touch with me quickly...
- Website: https://christian-stefan.github.io/Portfolio/
- Phone: +40 760 612 232
- City: Eindhoven, Netherlands
- Email: cristian.stefan.gheorghiu@gmail.com
- Degree: TU/e Masters Degree in A.I. and Engineering Systems
- Preferences: Finance and Healthcare
- Freelance: Available
- Available for next assignment?: Yes
Skills
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Resume
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Sumary
Gheorghiu Cristian Ștefan
Junior Machine Learning Engineer with 3+ years of experience blending creativity with a focus on explainability, trusted performance, and inference efficiency. Proven track record of developing traditional ML solutions, medium-sized deep-learning models, and agentic architectures across diverse domains. Adept at taking projects from initial concept - whether rooted in research or stakeholder requirements - to a finalized model, complete with a structured plan for seamless MLOps integration.
- Eindhoven, NetherlandsL
- +40 760 612 232
- cristian.stefan.gheorghiu@gmail.com
Education
Master of Artificial Intelligence & Engineering Systems
2024 - 2026 (ongoing)
Eindhoven University of Technology, Eindhoven, NL
Eindhoven University of Technology (TU/e) is a research university specializing in engineering science & technology. In the latest QS World University Rankings 2027, TU/e is impressively ranked 152nd worldwide. Some of the academic disciplines and subjects I was able to tap into and become specialized in, such as convex optimization, conventional and emulating-crowding behaviors hyperparameter optimization techniques, inference efficiency, synthetic data generation, and Bayesian machine learning, were made possible by the university's broad curriculum.
Bachelor of RIS (Robotics & Intelligent Systems)
2018 - 2022: 9.81 CGPA
"Lucian Blaga" University of Sibiu, Sibiu, RO
The “Lucian Blaga” University of Sibiu-ULBS is one of the oldest universities in Romania, with a tradition of over 225 years. The degree in robotics was primarily revolving around an axis, connecting flexible and intelligent technologies used across manufacturing chains to robotics-focused design, working, and programming principles. This rich mixture of subjects provided me with the generic blueprint of the context and, hereby, its generalizable constraints. Thus, having a nurtured appetite for programming, I not only learned to craft code but also did it in a manner that made it inherently compatible with the context constraints.
Volunteering
AIESEC VP EwA - Vice President External Relations
Oct 2021 - Feb 2022
AISEC, Sibiu, RO
- Coordinated the implementation of various volunteering-related projects
- Designed the packages/options which were made available to stakeholders when they were considering joining the project
- Coordinated the entire development process at a local level - the EwA team - comprising 6 members
Student Volunteer
Oct 2017 - Jul 2020
AISEC, Sibiu, RO
- Human Resources Management—Planned and executed recruitment campaigns
- Team Activity Planning—Developed work plans aimed at streamlining team efforts and improving overall work quality
- Project Proposal Development—Formulated and reviewed volunteer project proposals
- Stakeholder Engagement—Led numerous stakeholder negotiations in a chairman capacity; personally negotiated funding with various stakeholders; and collected business contact data and performance metrics (e.g., capital)
- Volunteer Wellbeing—Contributed to improving the quality of volunteer experience within the organization by conducting member interviews and analyzing their feedback
Professional Experience
Agentic A.I. Finance Transformation
September 2025 - Present
ASML, Veldhoven, NL
- Lead in the design, development, and implementation of the graphic, layout, and production communication materials
- Delegate tasks to the 7 members of the design team and provide counsel on all aspects of the project.
- Supervise the assessment of all graphic materials in order to ensure quality and accuracy of the design
- Oversee the efficient use of production project budgets ranging from $2,000 - $25,000
Internship in Conference and Public Address Systems
Feb 2025 - Oct 2025
KEENFINITY, Eindhoven, NL
- Integrating external platforms with Bosch Conference and Public Address systems historically faced steep bottlenecks due to heavy .NET API dependencies. To solve this, I engineered two event-driven Python middleware wrappers designed specifically to drive third-party integration.
- Developed and hosted the solutions across two repositories: FJN57/Bosch-Praesensa-Python-Wrapper and MarcoVanEngelen/Bosch-Dicentis-Python-Wrapper.
- Secured a partnership with Arbor after staging a successful, live hardware demo (PTZ cameras and Dicentis devices) in Doetinchem.
- Phased out an inefficient legacy SIP hardware topology for oil and gas operators.
Internship Trainee in Public Addresses and Conference systems
Aug 2024 - Feb 2025
Bosch Security and Safety Systems, Eindhoven, NL
- Developed a medium-scale deep learning “Double Fusion” model integrating Logistic Regression and Random Forest algorithms, designed as a debugging and diagnostic tool for DICENTIS camera compatibility assessments.
- Assembled, configured, and demonstrated a full Conference DICENTIS System, showcasing AVER camera integration, metadata extraction, and read/write functionality for system validation and performance evaluation.
- Gained in-depth expertise in the .NET development framework, which served as the foundation and inspiration for developing the interface module, enabling a new finger-reading authentication feature for secure login within the conference system
Junior Software Test Engineer
Jul 2022 - Aug 2023
Continental, Sibiu, RO
- Designing test scripts for system and software-related tests using different techniques (e.g., unit testing, exploratory testing, regression testing)
- Contributed to the maintenance and development of the internal testing framework (DUST) by troubleshooting and reporting issues/potentially viable solutions
- Reviewed over 1000 system requirements
- Conducted OOP-related trainings, having chosen Python as the working programming language
- Developed virtualized hardware for testing purposes
Services
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Testimonials
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Designer
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Freelancer
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Entrepreneur
Contact
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