Hi there! 👋 I'm Vejay Persaud
I'm an enthusiastic Computer Science student, rising Microbiome Researcher, and experienced Mathematics Tutor with a unique interdisciplinary background that bridges technology, social science, and creativity. I'm passionate about learning new technologies, solving complex problems, and building solutions that create meaningful impact.
Currently pursuing a Bachelor of Science in Computer Science at the University of Florida, I have hands-on experience with enterprise software engineering practices, data structures, programming fundamentals, as well as computational genomics and microbiology. My strong foundation in problem-solving and communication helps me approach every project with a focus on collaboration and continuous learning.
🎯 Current Areas of Focus:
- Software Engineering: Gaining experience in deployment of fullstack web apps.
- Data Engineering: Learning how to design and optimize metagenomic data pipelines on University of Florida's HiPerGator.
- Data Science Fundamentals: Exploring projects involving Apache Spark and Amazon Web Services.
- Mathematics: Over 8 years of tutoring experience from algebra 1 to discrete mathematics, empowering students to build confidence and mastery.
🚀 What I'm Currently Working On
- Data Engineering and Software Projects: Building data pipelines and small-scale software solutions as part of coursework and personal projects.
- Exploring Data Science: Learning about transformer architectures, data visualization, and working on applying these techniques to microbiome data.
- Mathematics Tutoring: Continuously helping students improve their mathematical skills and how to interpret and use LLM's to the benefit of the student.
📂 Highlighted Projects
1. StickerMule Practice
Tech Stack: Go, Docker, Google Cloud, GraphQL, Redis, Postgres, Grafana, Prometheus, Jaeger
- Developed a GraphQL API in Go to support CRUD operations for Store services via structured queries and mutations.
- Built scalable middleware patterns to separate metrics and business logic to improve maintainability and observability.
- Developed load generator scripts to simulate traffic to site and visualize performance under stress with custom dashboards in Grafana.
2. Data Science Final Project
Tech Stack: Python, Scikit-learn, Pandas, R
- Evaluated and compared the performance of multiple machine learning models (Neural Networks, SVM, Random Forest, KNN) using metrics such as accuracy, precision, and recall.
- Led dataset selection and conducted hyperparameter tuning for optimizing model performance.
- Worked with data preprocessing, transformation, and statistical analysis.
3. Software Engineering Project: Probooker
Tech Stack: JavaScript, HTML, CSS, Node.js, SQL
- Participated in a remote group project to develop a full-stack web application, utilizing Node.js.
- Followed SCRUM and AGILE methodology with two week sprints, daily stand-ups, and backlogs using remote collaboration tools like Figma Jam, Zoom, and Jira to deliver features on time.
- Practiced DevOps with continuous integration and deployment pipelines using GitHub Actions.
- Designed and implemented database functionality using SQL for efficient data management and retrieval.
4. Sorting Algorithm Visualizer
Tech Stack: JavaScript, HTML, CSS, Data Structures
- Built a browser-based tool to visualize common sorting algorithms like quicksort, mergesort, and heapsort.
- This project strengthened my understanding of algorithmic efficiency and front-end development.
🛠️ Technical Skills
Programming Languages:
- Python, Java, SQL, JavaScript, C++, R, GoLang
Data Science & Engineering:
- Data Structures, Pandas, NumPy, Basic Machine Learning (Scikit-learn), R
- Exploring: Spark, Hadoop, ETL Pipelines
Software Engineering:
- Software Development Fundamentals, Version Control (Git)
- Agile & DevOps practices (SCRUM, CI/CD)
- Full-Stack Development (JavaScript, Node.js, SQL)
- Basic understanding of REST APIs, GraphQL, Docker, Linux, Kubernetes, AWS, and GCP
Other Tools:
- Jupyter, R Studio, AWS (EC2, S3), GCP Cloud Run and Compute Engine, Adobe Premiere Pro and InDesign
👨🏫 Experience as a Mathematics Tutor
With over 8 years of tutoring experience, I specialize in helping students master mathematics concepts across levels. I focus on building student confidence and teaching effective problem-solving strategies in subjects like:
- Algebra, Calculus (AB & BC), Linear Algebra, Multivariable Calculus, Discrete Mathematics
🌱 Ongoing Learning & Future Goals
- Machine Learning & Data Science: Continuing to develop my skills in data analysis, predictive modeling, and Artificial Intelligence techniques through projects and coursework.
- Software Engineering: Building more advanced software systems and improving my understanding of best practices in software development.
- Media & Technology: Combining my passion for digital media and storytelling with my growing technical skills to create impactful experiences.
📫 Let’s Connect
I'm actively seeking internships, part-time, and full-time roles in software engineering, data science, and data engineering. I'm eager to continue learning, collaborating, and contributing to meaningful projects in these fields!