Hi, I'm Viktoria MESKOVA.
A
Engineer with 5 years of professional experience across research and industry. I've conducted research in AI/ML and developed data warehouse solutions, with hands-on involvement in pipeline development, data profiling and transformation, testing, and documentation. I focus on solving technical problems and delivering results. I have a strong passion for turning data into actionable insights.
About
I am an engineer working on AI/ML and data systems, with expertise in Python, pipeline development, data profiling, and data transformation. I conducted AI research during my master’s at FIU, and developed production-level solutions during my time at EY.
• 5 years of professional experience across industry and research.
• Worked with technologies including Snowflake, Airflow, dbt, Azure, Oracle, Databricks, Data Vault 2.0 and Power BI, building a new data warehouse infrastructure for large-scale data migration.
• Enhanced a nanoscale Beam Profile Monitoring system, improving sensitivity by 10% and reducing material usage by a factor of 300.
• Developed a prototype aperture-coupled 1.3:1 patch antenna array integrated with the ADAR1000 beamforming IC for use in tracking applications.
• Delivered Machine Learning solutions for RNA sequence-to-3D structure prediction, malware detection, and direction-of-arrival (DoA) estimation.
• Extensive documention and reporting, conference participation, experience working both independently and on cross-functional teams.
- Programming: Python, SQL, R, C, C++, MATLAB, JavaScript/HTML/CSS, Bash, LaTex, VBA
- Data Engineering & Cloud: Snowflake, Azure, Oracle, Apache Airflow, DBT, Data Vault 2.0, Databricks
- Data Visualization: Power BI, Tableau
- Software: Visual Studio, AWS Redshift, DBeaver, GitLab, SQL Server, Docker, AutoCAD, Kafka, HFSS
- ML & DL: Pytorch, Tensorflow, Keras, Numpy, Pandas, Matplotlib, Sklearn, OpenCV
- Technical: Microfabrication, Lab electronics and instrumentation, Prototyping, Scientific writing
- Soft-Skills: Teamwork, Communication, Project Management, Public Speaking
- Languages: English (C2), French (A1), Greek (Native), Russian (Native)
Looking for growth-oriented positions combining Data Engineering and Machine Learning, where I can build scalable solutions, deliver business value, and keep developing professionally.
Experience
- Developed a prototype aperture-coupled patch antenna array with 30% bandwidth, integrated with the ADAR1000 beamforming IC for use in tracking applications and machine learning-based direction-of-arrival (DoA) estimation, leveraging distributed sparse arrays, covariance matrix decomposition, and weighted subspace fitting.
- Developed and evaluated LSTM- and Transformer-based models to predict RNA 3D structure from sequence data.
- Applied transformer-based malware classification to Speakeasy PE dynamic traces, integrated attention-based token attribution to explain predictions, and introduced a zero-day family-holdout evaluation to assess generalization—achieving 93% accuracy and documenting key challenges.
- Tools: Python, Pytorch, Tensorflow, Keras, Numpy, Pandas, Matplotlib, Scikit-learn, Neural Networks, LLMs, PyCharm, Jupyter Notebook, HFSS, GnuRadio, VNA.
- Conducted source system analysis and data profiling to streamline the migration of on-premises Oracle databases to the Snowflake warehouse, built on Data Vault 2.0 modeling principles (SnowPro Core certified).
- Developed mapping logic to ensure seamless integration between source systems and the data warehouse.
- Designed, developed and deployed data pipelines for both streaming and batch-oriented data ingestion and loading using Apache Airflow.
- Implemented data transformations utilizing DBT to meet the specific analytics and reporting requirements.
- Conducted testing and documentation of data pipelines, ETL processes and Data Warehouse solutions.
- Developed interactive dashboards using Power BI and Tableau for comprehensive data visualization and analysis.
- Acquired proficiency in Agile methodologies (Scrum, Kanban).
- Tools: Python, SQL, Snowflake, Azure, Oracle, Apache Airflow, DBT, Data Vault 2.0, Databricks, Power BI, Tableau, GitLab, Visual Studio, AWS Redshift, DBeaver, GitLab, SQL Server, Docker, AutoCAD, Kafka, VBA.
- Developed a state-of-the-art nanoscale Beam Profile Monitoring system for the 23GeV IRRAD proton facility, using microfabrication techniques.
- Gathered experimental data and conducted in-depth data analysis utilizing Python.
- Performed adhesion, electrical and wire-bonding testing. Participated in surface analysis (FIB/SEM/profilometry).
- Collected and analyzed the experimental data of the beam monitors.
- Participated in irradiation campaigns, surface analysis (FIB-SEM), PCB design and wire-bonding testing
- State-of-the-art: • Monitors with ∼300 times less sensing material and∼20 times less substrate. • 10% more sensitive (higher SEY measured). • Simple, low-cost, not-invasive, low activation, radiation resistant. • Applicable in lower energy beams than IRRAD for general-purpose applications (e.g. industry, medicine).
- Tools: Python, Microfabrication, Radiation Detectors, Lab electronics and instrumentation, Prototyping, Sensors, Sputtering, Photolithography, Atomic Layer Deposition, E-beam Evaporation, Wire Bonding.
- Designed photolithography masks for fabricating nanoscale memristors in a crossbar architecture.
- Studied models, types and I-V characteristics of memristors.
- Tools: MATLAB, Klayout.
Education
Miami, FL, USA
Aug 2024 - Dec 2025
Degree: Master of Science in Electrical and Computer Engineering with focus on AI
GPA: 4.0/4.0
Relevant Courseworks:
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Advanced Machine Learning in ECE
• Neural Networks
• Digital Image Processing
• Numerical Analysis
Lausanne, Switzerland
Aug 2019 - Oct 2020
Master thesis: "Fabrication and characterization of ultra-high level radiation sensors with thin-film nanolayers"
GPA: 4.0/4.0
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In CERN’s IRRAD facility, beam profile monitors (BPMs) control and characterize proton beams during irradiation tests of detectors and electronics.
This work develops microfabricated BPM prototypes that are ~10 times thinner, use aluminum sensing pads for higher secondary-electron yield, and offer improved radiation tolerance and sensitivity.
Validation with a 200 MeV electron beam at CERN’s CLEAR confirmed performance and highlighted applicability to lower-energy beams for broader industrial and medical uses.
Xanthi, Greece
Sep 2014 - Mar 2021
Degree: Bachelor in Electrical and Computer Engineering
GPA: 3.5/4.00
Relevant Courseworks:
Applied Numerical Analysis • Theory of Probability and Statistics • Algorithms and Data Structures • Human Computer Interaction • Programming Techniques
Degree: Integrated Master of Engineering in Electrical and Computer Engineering
GPA: 3.5/4.0
Relevant Courseworks:
Computational Intelligence • Computer Vision • Robotics • Databases • Modern Automatic Control
Projects
Transformer model for real-time malware detection and threat analysis.
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Tools: Python, PyTorch, sklearn, Transformer, Gradio
Applied attention-based and token-attribution techniques to reveal the model’s prediction rationale, and evaluated generalization via family-holdout (zero-day) experiments on a public Kaggle dataset. Deliverables include accuracy results, explainability artifacts, and documented challenges.
Fabrication and characterization of ultra-high level radiation sensors.
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Tools: Python, Data Analysis, Sensors, Sputtering, Photolithography, Atomic Layer Deposition, E-beam Evaporation, Wire Bonding
Designed abd microfabricated BPMs for CERN IRRAD facility: ~10x thinner, aluminum pads for higher sensitivity, improved rad tolerance; validated at 200 MeV (CLEAR) with potential industrial/medical applications.
RNNs are utilized to forecast the electricity demand of a specific city.
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Two one-input predictors were developed to forecast energy demand for
horizons of 3 hours and 6 hours, respectively. The one-input predictors aim to comprehend the system
dynamics based solely on past energy demand. Based on periodic cycles, trends over time, regular regime,
and sudden spikes observed in the eload sequence by the model, the model predicts future values for the
present sequence timeline.
Skills
Programming
Python
SQL
R
C/C++
Matlab
JavaScript/HTML/CSS
LaTex
VBA
Shell Scripting
Data Engineering & Cloud
Snowflake
Azure
Oracle
Apache Airflow
dbt
Data Vault 2.0
Databricks
Data Visualization
Power BI
Tableau
Software
Visual Studio
AWS Redshift
DBeaver
GitLab
SQL Server
Docker
Kafka
PyCharm
Jupyter Notebook
Ansys
Photoshop
AutoCAD
Machine Learning & Deep Learning
Keras
TensorFlow
PyTorch
NumPy
Pandas
OpenCV
scikit-learn
Matplotlib
Technical Skills
Microfabrication (CMi EPFL)
Lab electronics and instrumentation (FIU RFCOM Lab)
Prototyping (CERN)
Scientific Writing (IBIC20 CONF)
3D Printing (FIU RFCOM Lab)
Soft-Skills
Teamwork
Communication
Project Management
Public Speaking
Languages
English (C2)
French (A1)
Greek (Native)
Russian (Native)
Publications
ICALEPCS 2019 | New York, NY, USA | Oct 2019
IBIC'20 | Santos, Brazil | Sep 2020
RAD Conference Proceedings | Geneva, Switzerland 2021
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This paper outlines IRRAD’s annual 24 GeV/c PS proton-beam irradiations of hundreds of samples to assess radiation tolerance.
Describes beam control via flexible-PCB BPMs whose pad matrices read secondary-electron charge to reconstruct the beam spot.
Proposes microfabricated BPMs for non-invasive, ultra-radiation-tolerant (~10^18 p/cm²/yr) and thinner devices suitable for lower-energy beams.
ATTRACT Final Conference | Geneva, Switzerland 2020
Certificates
Data and AI
Snow Pro Core
Azure AI-900
Databricks for Advanced Data Engineers
LLM Engineering
Intro to Apache Airflow
Modeling Data Warehouse with Data Vault 2.0
Data Stores & Big Data | Business Intelligence Ecosystem
Stanford Online CS336 Language Modeling
Leadeship
Chairperson
Apr 2017 - May 2018 | Xanthi, Greece
- Supervised the fundraising, promotion, human resources, magazine, humanitarian, website teams.
- Organized lectures, webinars, academic visits, social events. Redesigned and updated DIPLOMA magazine, created logos, edited promotional videos, designed posters and banners.
- Coordinated the 2nd IEEE R8 Mediterranean IAS SBC Intern. Workshop 2017, hosting 40 intern. participants.
- Attended the Intern. Conference IAS Annual Meeting in Cincinnati, USA, as the representative of the Branch.
Instructor | Mentor | Coach
- Teaching assistant at FIU. Miami, USA | Aug 2024 - Dec 2025
- Led Arduino programming workshops for freshmen, providing hands-on instruction and guidance. Xanthi, Greece | Apr 2017 - May 2018
- Guided the team to design, build, test, and program an autonomous robot using LEGO MINDSTORMS. Xanthi, Greece | Oct 2016 - Mar 2017
- Attended the Intern. Conference IAS Annual Meeting in Cincinnati, USA, as the representative of the Branch.
Mentor
Feb 2022 - Jun 2024 | Athens, GR
- Engaged with customers across marine and telecom sectors—clients included OTE, Deutsche Telekom, and Liberty Caribbean, C&W—to gather requirements and align solutions.
- Supervised and mentored junior teammates through onboarding/integration, accelerating ramp-up and improving delivery quality.
Distinctions
Thessaloniki, Greece | Mar 2017
