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Garegin Mazmanyan

Full-Stack Engineer with Data Science Expertise

About Me

I'm a computer science student, now pursuing my master's at the University of Arizona, combining expertise in full-stack development and machine learning. Proficient in multiple programming languages including Python, Java, and JavaScript, I specialize in building scalable web applications and developing AI-driven solutions. My experience spans from implementing full-stack applications using React and Node.js to designing machine learning models with TensorFlow and scikit-learn. With a strong foundation in cloud technologies and AWS services, I focus on creating innovative solutions that combine modern web development practices with advanced data science techniques to deliver real-world impact.

Technical Skills

Programming Languages

Python Java JavaScript TypeScript C/C++ C# Go Rust Kotlin Shell scripting

Web Development

React Node.js Express Django Flask HTML/CSS Bootstrap REST APIs

Machine Learning & AI

Supervised/Unsupervised Learning Reinforcement Learning Deep Learning TensorFlow PyTorch scikit-learn spaCy pandas

Cloud & DevOps

AWS Docker CI/CD Git GitHub Lambda ECS API Gateway

Databases

MongoDB SQL NoSQL DynamoDB RDS Aurora

Development Tools

Unix/Linux Bash VIM Jest JUnit Eclipse Agile

Work Experience

Junior Software Engineer Intern - AEYESAFE

https://www.aeyesafe.com

October 2024 - Present

  • Streamlined workflows by containerizing and deploying applications using Docker, ensuring consistent development and testing processes
  • Designed and implemented scalable cloud infrastructure using AWS services (ECS, Fargate, SQS, DynamoDB, ECR, ElastiCache)
  • Created CI/CD pipeline with YAML scripts, reducing deployment time by 50%
  • Implemented secure user authentication and API interactions using AWS Lambda and API Gateway

Course Coordinator - University of Arizona

https://www.arizona.edu

August 2024 - December 2024

  • Coordinated curriculum across multiple sections for 300+ students in software development
  • Developed Python scripts for grading automation and data tracking, improving workflow efficiency by 30%
  • Created automated scheduling tools and managed course logistics
  • Collaborated with faculty to enhance student learning experience

Undergraduate Teaching Assistant - University of Arizona

https://www.arizona.edu

August 2023 - July 2024

  • Mentored 150+ students in Python programming, focusing on coding best practices and algorithm development
  • Administered lab sessions focused on hands-on programming exercises
  • Developed custom Python teaching materials and coding challenges
  • Provided guidance on complex programming concepts and problem-solving techniques

Certifications

AWS Cloud Practitioner Essentials

Amazon Web Services

Issued Sep 2024

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AWS Cloud Practitioner Certificate

AWS Certified Developer - Associate

Amazon Web Services

Issued Dec 2024

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AWS Developer Certificate

AWS Certified Machine Learning - Specialty

Amazon Web Services

Issued Sep 2024

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AWS Machine Learning Certificate

Applied Machine Learning in Python

University of Michigan

Issued Sep 2024

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Applied ML Certificate

Web Design for Everybody

University of Michigan

Issued Jun 2023

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Web Design for Everybody Certificate

Featured Projects

CSC110 Coding Platform

Developed a full-stack educational platform featuring interactive code editor, real-time Python execution, and automated test validation, resulting in 40% increased student engagement.

React.js Node.js Express.js SQL JWT

AI Glucose

Designed an AI-powered app to predict blood sugar spikes and recommend insulin dosages using Python and machine learning frameworks.

Python TensorFlow Flask

ML Classifier Web App

Developed a full-stack web application for choosing different machine learning classifiers and visualizing model performance.

React scikit-learn D3.js

Let's Connect

I'm always interested in hearing about new projects and opportunities.

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