Mher Ignatosyan

Software Developer

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Experience

Technology Developer Intern

Barclays, UK

Dates of Employment: 06/2024 - 08/2024

Led a data migration project transitioning data from AWS S3 to on-premise systems. Used AWS KMS for encryption and Java Spring Boot for development. Ensured data security, developed applications, and collaborated with cross-functional teams.

Software Developer Intern

Information Systems Agency of Armenia (ISAA), Armenia

Dates of Employment: 06/2023 - 08/2023

Focused on working with databases, particularly MongoDB. Designed, developed, and optimized MongoDB databases to meet the organization’s needs.

Education

Bachelor's Degree, Computer Science (AI)

The University of Manchester, UK

Dates Attended: 09/2022 - 06/2025 Expected

Specialized in artificial intelligence with a focus on software development, data analysis, and machine learning.

High School, Mathematics and Computer Science

Quantum College, Armenia

Dates Attended: 09/2018 - 06/2021

As a high school graduate from a top school in Armenia for mathematics and physics, I have a strong foundation in calculus, mechanics, thermodynamics, and electromagnetism.

Projects

Data Migration from AWS S3 to On-Premise

Technologies Used: AWS S3, Java Spring Boot, AWS KMS

Barclays, UK

Description: Led a data migration project to transition data from AWS S3 to on-premise systems. Utilized AWS Key Management Service (KMS) for secure data encryption and Java Spring Boot for application development. Ensured data integrity and security throughout the migration process by implementing AWS KMS encryption protocols and developed Spring Boot applications to facilitate seamless data transfer and integration. This project involved close collaboration with cross-functional teams to align with business goals and compliance requirements.

BEE Human

Technologies Used: Python, JavaScript

The University of Manchester

Description: Designed and developed an interactive website to enhance reaction time, typing speed, and hand-eye coordination through engaging games. Features include reaction time tests, typing games, and hand-eye coordination challenges, with dynamic leaderboards for competitive play.

High-Dimensional Data Visualization Techniques Using Python

Skills: Machine Learning, Data Visualization

Description: Developed and implemented high-dimensional data visualization techniques using Python. Focused on Scatterplot Matrix and Parallel Coordinate Plots (PCP) to analyze data for Outlier Detection, Correlation Analysis, and Cluster Analysis. Covered Data Reduction and Dimensionality Reduction techniques to enhance visualization and analysis.

World Cup Game

Technologies Used: Python, Tkinter, Pygame

The University of Manchester

Description: Developed an innovative soccer game using Python, inspired by Pac-Man. Players can choose between Portugal and Argentina and navigate soccer-themed mazes. Key features include team selection, Pac-Man inspired gameplay, save/load functionality, dynamic leaderboards, and a secret cheat code. AI was utilized for creating various gameplay modes, adjusting difficulty levels, and generating maps.

Skills

  • Programming Languages: Java, Python, C, C++
  • Frameworks: Spring Boot, React, Tkinter
  • Data Visualization: Python (Scatterplot Matrix, Parallel Coordinates)
  • Web Technologies: HTML5, CSS
  • Other Technologies: AWS S3, AWS KMS

Certifications

Machine Learning in Production

Issued by: DeepLearning.AI

Date: 06/2024

High-dimensional Data visualization techniques using python

Issued by: Coursera Project Network

Date: 06/2024

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