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Artist : @Kirokaze

Portfolio LinkedIn

Summary of my Experience

As a senior software engineer, I have gained extensive experience in developing and maintaining various software projects web applications using Spring Boot, Java, React to Machine Learning applications . My portfolio on GitHub showcases my skills and expertise in different areas of software engineering. These are my available Public projects

  • Full Stack development: Experience in building responsive and user-friendly web applications, APIs using Spring Boot, Java, React, Postgres, Mongo etc
  • Scripts: Experience in building scripts to help in migration, API integration, APIs etc.
  • Back-end Development: Experience in building, integrating, APIs, endpoints, Security using JWT, implementation of Actuators etc.
  • Database development: Building databses from scratch with triggers, scripts, JOOQ and setting up database pipilines

Project summary (public)

  1. Analysis-recommendation : These are Machine Learning projects that majorly focus on Analysis of Data and Recommendations
  • GoodLifeFitness - Analysis of Data to handle Crowd Control at a gymnasium, Predicting is a person is likely to attend a group gym session based on historical attendance records, and recommendatons based on the results
  • Loblaws-analysis - Analysis of churn rate of customers at Loblaws, Recommendations on what offers will work on consumers
  • Tiktok analysis - Clustering different sections of Creators and building algorithmic recommendations, and studying user satisfaction by analysing commments using NLP techniques like tokenization, BERT
  1. Applications - React Based applications, for practice (React, Spring Boot)
  2. Classification -
  • Bird classificaion - Bird classification using Deep learning, VGG16 (Tensorflow, Keras)
  • HR Management - Classifying if a profile is likely to get shortlisted based on the requirements, classifying them as placed (SVM, Decision Tree, Naive bayes)
  • Music Classification - Music Genre classification, generating spectograms from extraction of 3 x 30 second clips from music, then using Deep learning to classify Music genres into, Various Genres
  1. Cloud/SNS - Cloud tools, scripts
  2. NLP -
  • Sentiment Analysis - Scraping Reddit posts/comments data using Reddit API, Analysis of data using NLP techniques using stopwords, Word2Vec, Tokenization (TFIDF), BERT etc.
  1. Regression -
  • Manga Sales - Studying Japanese manga sales and building estimates, recommendations
  • Video-Game-Sales-Analysis - Video game sales analysis by different features like Name, Genre, type etc. And Estimating sales figures
  1. Scripts
  • Generating spectograms for Audio Images
  • Reddit Scraping - Script for Scraping Redddit comments using Reddit API

Summary of Skills

  • Software and Frameworks : Java, Python, Spring Boot, SQL, Linux, PostgreSQL, AWS EC2, DynamoDB, HTML, CSS, React, Docker, NumPy, REST, RStudio, Git, Jira, JUnit, Selenium, Sonar, R, NumPy, Pandas, TensorFlow, Matplotlib
  • Concepts : Statistical analysis, Algorithms, Data structures, Neural networks, Agile methodology, Database design and management, Web Development, Back end development