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Personal

Address
MD-2068 Chisinau

Skills

• Self-Motivation and Initiative
• Problem Solving and Critical Thinking
• Collaboration and Teamwork
• Time Management and Prioritization
• Attention to Detail
• Creativity and Innovation

Deep learning engineer with substantial experience in the design, implementation, and analysis of state-of-the-art neural network architectures. Contributed to the development of innovative algorithms that significantly enhanced the accuracy, robustness, and computational efficiency of image classification and segmentation systems. One such algorithm improved the MobileNet model’s top-1 accuracy on the ImageNet dataset from 75.8% to 79.0%. Strong communicator adept at conveying complex technical concepts to interdisciplinary and non-technical audiences. I am eager to apply the knowledge I have acquired to create innovative artificial intelligence technologies. I firmly believe that advancements in AI play a key role in improving the quality of life for people globally.

Work Experience

Software Engineer
Self-employed, Chișinău
Mar 2023 - Present

• Investigated and developed an accuracy enhancement method, achieving an increase in MobileNet top‑1 accuracy on ImageNet from 75.8% to 79.0%.
• Designed and implemented a multi‑mode image labeling tool supporting:
  1. Manual, semi‑automatic, and automatic labeling workflows
  2. Detection and tracking of objects in sequential images
  3. Object labeling in images through comparative evaluation of SIFT, ORB, and SSIM techniques

Continuous Learning and Curiosity
Research and Data Analysis

• Algorithmic Research in Deep Learning:
  1. Compensation method addressing errors in positively correlated signals originating from different groups
  2. Stochastic regularization using dropout with randomized values
  3. Feature splitting to isolate and process positive vs. negative activations
  4. Integration of sinusoidal signals in generative modeling architectures
  5. Application of ensemble strategies by increasing classifier diversity
  6. Label smoothing to enhance generalization through soft‑target training

Software Engineer
Arobs, Chișinău, Chișinău
Mar 2019 - Feb 2023

• Collaborated with a team of expert developers to analyze requirements, maintain and enhance existing software, and resolve bugs within safety‑critical components of the automotive domain
• Demonstrated ability to develop solutions independently in a structured and methodical manner
• Proficient in reading and interpreting electrical schematics
• Skilled in software architecture design, including unit testing and component‑level validation
• Proven experience in C programming, including implementation of error‑handling mechanisms and conducting SPT (Software Process Testing)

Assistant Lecturer
Technical University of Moldova, Chișinău
Sep 2018 - Jun 2021

• Teach practical and laboratory‑based courses in Embedded Systems, Electronic Systems Design, Digital Electronics, and the Internet of Things (IoT). Instruction focuses on the development of real‑time embedded applications using Arduino and STM32 platforms, with an emphasis on C programming, system integration, and performance optimization in real‑time environments.

Education and Qualifications

Artificial Intelligence Engineer
Simplilearn Singapore Pte Ltd, Chișinău
Jun 2021 - Oct 2022

• Machine Learning & Deep Learning Projects
• Led the end‑to‑end development of deep learning solutions, covering the full lifecycle from data preprocessing and exploratory data analysis (EDA) to model architecture design, training, evaluation, and deployment to production environments.
• Gained hands‑on experience in model building, model scoring, and deployment, using real‑world datasets and project‑based learning.

Technical Skills

• Proficient in Python for general‑purpose programming and machine learning development
• Skilled in statistical analysis, data modeling, data visualization, and software architecture design
• Experienced in building and optimizing deep learning architectures, including CNN fine‑tuning, model parameterization, and hyperparameter tuning
• Practical knowledge of tools and libraries including: NumPy, Pandas, Seaborn, Matplotlib, OpenCV, TensorFlow, BeautifulSoup, re (regular expressions), etc.

Software Engineer
Academy Plus Moldova, Chișinău
Oct 2016 - Dec 2017

• Graph Editor Development

  • Designed and implemented a graph editor with full UI/UX and backend functionality using the C programming language.
  • Managed both frontend interface and backend logic to ensure seamless user interaction and performance.

• Verilog Code Generation Software

  • Developed software for Verilog code generation based on finite state machine graphs, featuring both UI/UX and backend components implemented in C.
  • Enabled efficient translation of graphical state machine designs into synthesizable Verilog code.

Licentiate Engineer

Technical University of Moldova, Chișinău
Sep 2014 - Jun 2018

Conference and Research Participation

• Conference of Students, Master's Students, Doctoral Students, and Collaborators, FET, Chișinău, Nov 2017

  1. Presented on “Development of a Calculation Algorithm to Optimize Fourier Transform Speed”
  2. Presented on “Image Compression and Discrete Cosine Transform”

• International Conference on Information Technologies, Systems, and Networks

  1. Presented research on “Adaptive Filters for Image Restoration”

• TUM Exhibition 2017

  1. Demonstrated software for Verilog code generation based on finite state machine graphs