Winnipeg, MB • 952-393-2170 • alexpdyak32@gmail.com
A driven and versatile computer science professional with a solid foundation in programming, database management, and machine learning. Skilled in both high-level concepts and hands-on implementation, including neural networks and AI techniques. Adept at problem-solving, communication, and teamwork, with a passion for innovation and continuous self-improvement. Seeking opportunities to leverage technical expertise and creative thinking to contribute to impactful software development.
Relevant Coursework: - Artificial Intelligence - Machine Learning - Databases - Mathematics of Data Science - Graph Theory - Software Engineering - Biological Diversity and Interaction - Economic Plants
Developed foundational people management skills including coaching, performance management, and team development. Completed four courses: Create a High-Performing Team, Set and Achieve Team Goals, Support Individual Growth and Development, and Grow as a Manager. Demonstrated proficiency in setting SMART goals, fostering career growth, and leading effective teams.
Led design and delivery of a centralized, live-updated metrics platform used by office staff and field technicians to track organizational goals at MMCD. Coordinated requirements gathering with multiple stakeholders and implemented automated data pipelines.
Contributing as core backend engineer on cross-functional team for En Login Inc.'s cloud-accessible inventory manager. Designed MySQL schemas and built deep learning model for inventory prediction from historical usage patterns.
Developed a neural network system employing CNN and fully connected models to classify mosquito breeding sites. Leveraged TensorFlow for high-level implementation (97% accuracy) and cuDNN API for GPU acceleration.
Collaborative project using Agile methodologies to build a student-focused calendar app. Included event storage and a "Study Buddy" tool. Contributed through debugging, feature implementation, testing, and documentation.
Manually implemented a CNN using NumPy and CuPy to classify handwritten digits from the MNIST dataset. Achieved 98% accuracy through neural network design and performance optimization.
Developed an Android app for a custom homebrew alchemy system for D&D players. Focused on long-term code maintainability and end-to-end mobile app development.
Built a neural network from scratch to predict diamond prices based on features like cut, color, and clarity. Applied skills in model design, data processing, and evaluation with TensorFlow.
Developed a space shooter game showcasing advanced graphical techniques, such as texture mapping and smooth animations. Designed and implemented the graphical pipeline.
Collaborated with a team to design and develop an SQL-based database system managing data on airlines, aircraft, airports, flights, and accidents. Took primary responsibility for SQL design and database connection.
Built a C-based system to analyze optimal Pokémon battle match-ups. Designed efficient algorithms and low-memory data structures for performance optimization.
Developed a Java-based strategy game for a D&D campaign, allowing players to command armies in turn-based gameplay. Focused on game mechanics and simulation programming.
Proficient in C/C++, Java, Python, and SQL, developed through projects such as the Combination Calculator and Airlines Database, as well as academic coursework.
Skilled in designing, querying, and maintaining databases (e.g., SQL, MongoDB, MySQL), with experience gained through the Airlines Database project.
Expertise in neural network development using frameworks like TensorFlow and PyTorch, alongside manual implementation of CNN architectures and SVD techniques.
Experienced in utilizing GPU acceleration frameworks such as CuPy and cuDNN, applied in projects like Mosquito Predictor and CNN for Image Classification.
Experienced in debugging, testing, and documentation within agile environments, contributing to projects such as Stalendar.
Proficient in designing efficient algorithms and optimizing low-level data processing, refined through projects like Combination Calculator.
Experienced in developing Android applications using Android Studio, exemplified by long-term projects like Alchemy App.
Proficient in applying modular design and SOLID principles to ensure scalable and maintainable codebases.
Proficient in creating and maintaining accurate GIS maps utilizing field data; experience with spatial data analysis and database integration for surveillance and control operations.
Experience training and supervising field crews, coordinating multi-person projects, and managing cross-functional teams; certified in Google People Management Essentials.
Knowledgeable in game design and simulation programming, including graphical rendering and animations, applied in XWing Game and Text-Based Strategy Game.
Familiar with Git for version control, UNIX/Linux Shell, and Android Studio, applied across various projects.
Background in discrete math, linear algebra, calculus, and graph theory, applied in algorithms, machine learning models, and optimization tasks.
IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. It inspires a global community to innovate through its publications, conferences, standards, and educational activities.
ACM is the world's largest educational and scientific computing society. It unites educators, researchers, and professionals to inspire dialogue, share resources, and address challenges in the computing field.
Participated in events promoting diversity and inclusion in technology as an ally supporting underrepresented groups.
Assisted with review sessions and actively participated in community events organized by the association.
Participated in event planning and launching the club and outreach activities.
Hosted charity and social one-shot campaigns, contributing to the group's community-building efforts through engaging storytelling and event organization.