Machine Learning Artificial Intelligence

Benyamin Plaksienko

+ Fair Lawn, NJ, USA # *************@*******.*** +1-347-***-**** ð ben-plaksienko

§ Benyaminwasnthere benyamin-plaksienko.web.app

Education

NJIT Ying Wu College of Computing, Newark, NJ

Master of Science in Artificial Intelligence and Data Science Track Graduate Certificate Program Current GPA: 3.50 Dec 2024 – Dec 2026

Relevant Coursework: Data Mining, Artificial Intelligence, Introduction to Big Data, Machine Learning Rutgers University, New Brunswick, NJ

Bachelor of Science in Computer Science

Sept 2020 – May 2024

Relevant Coursework: Artificial Intelligence, Machine Learning Principles, Brain Inspired Computing, Computational Robotics, Operating Systems, Software Methodology, Data Management, Systems Programming, Data Literacy, Al- gorithms Design & Analysis, Discrete Structures, Computer Architecture, Data Structures, Linear Algebra Professional Experience

Software Engineer Intern,WinFully on Technologies, Alpharetta, Georgia June 2025 – August 2025

Developed backend APIs using FastAPI, and integrated PostgreSQL database initially before migrating the database to Google Firestore for improved scalability

Built a real-time speech-to-text service using OpenAI Faster Whisper, FastAPI, and WebSockets, streaming audio from a frontend UI and returning live transcriptions with GPU/CPU fallback support. Data Engineer Research, Clearcut Software LLC, Paramus, NJ Mar 2024 – Aug 2024

Crafted tailored aggregation functions in C++ for DuckDB, aligning precisely with client specifications & conducting thorough unit tests to ensure robustness while significantly enhancing resource efficiency

Streamlined SQL query creation by developing Python scripts, resulting in a substantial increase in team productivity

& efficiency, leveraging NumPy & Pandas for seamless integration

Utilized advanced programming techniques to enhance performance & ensure smooth integration with existing data analytics pipelines, facilitating clients in efficiently extracting actionable insights from vast datasets

Resolved technical challenges by debugging and troubleshooting issues using GitHub tickets, ensuring smooth project development and deployment

Projects

Tetris Confetti Website React, Google Firebase Cloud Service, p5.js Live Demo: Game 2 GitHub: GitHub Project Page 2

Introduced a creative spin on the classic Tetris game, featuring tetrominoes bursting into vibrant confetti, integrating unique sand physics, chain detection mechanisms, & real-time score monitoring

Facilitated real-time score tracking by leveraging Firebase Authentication & Realtime Database, leading to increased user engagement through seamless user authentication & integrated database functionality

Automated the deployment process with GitHub & Google Firebase Hosting, managing code deployment & hosting tasks efficiently

Engineered a Custom BFS algorithm for chain detection & bonus scoring, implementing it in Javascript while leveraging skills in data structures & algorithm design

Enhanced user engagement & overall user experience by implementing responsive design for gameplay on both desktop

& mobile devices

Dementia Detection Website Python, Scikit-learn, XGBoost, React Native, FastAPI GitHub Main Project: GitHub Project Page 2 GitHub Data Scraping: GitHub Data Scraping Page 2

AI-Driven Dementia Detection using textual analysis of blog posts written by individuals with and without dementia. This project was developed for HackRU 2, a Rutgers hackathon held in Spring 2025 by Major League Hacking, in collaboration with teammates. Awarded second place in the Social Good category

Collected and processed 1.4M tokens of text data for training and evaluation

Generated 1024-dimension sentence embeddings using BGE-large-en-v1.5 transformer model

Attained an outstanding F1-score of 0.95 using XGBoost in a 5-fold cross-validation setting with a validation set comprising 20 % of our 3,024 training points

Built an intuitive React Native frontend with themes, multi-screen navigation, and data visualization

Developed a FastAPI backend with REST endpoints for text analysis and inference Technical Skills

Languages: Python, JavaScript, Java, C++, SQL, TypeScript, R, HTML, CSS, C#, MATLAB Frameworks/Libraries: React, Node.js, Django, Flask, Spring Boot, Angular, TensorFlow, PyTorch, Scikit-learn, Boot- strap, Express.js, Next.js, jQuery, NumPy, pandas, Fast API, REST API Tools: Git, Docker, Kubernetes, AWS, Google Cloud, Jenkins, JIRA, GitHub, Visual Studio Code, Android Studio, LaTeX, Jupyter Notebook, Postman, IDE, Firebase, PostgreSQL, MongoDB, MATLAB

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