Ayush Desai
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Ayush Desai

Ayush Desai

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Software Engineer | MSCS Candidate, Northeastern University | Looking for early career/new grad opportunities to learn, grow and contribute
Boston, Massachusetts, United States

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Résumé

Jobs verified_user 0% verified
  • N
    Lead Teaching Assistant, CS 5200
    Northeastern University
    May 2023 - Current (2 years 2 months)
    • Managed a team of 5 TAs, mentoring over 100 students to enhance SQL and ER modeling skills. • Conducted individual sessions and weekly office hours, resolving over 20 student queries weekly.
  • P
    Software Engineer Intern
    Papa Don't Preach
    Jan 2022 - Dec 2022 (1 year)
    • Expanded the company's scalable e-commerce platform, reducing page load time by 2 seconds by using an efficient caching mechanism and optimized database queries. • Architected distributed backend systems on AWS with PostgreSQL, maintaining a 99% uptime. • Automated CI/CD and reduced deployment time by 3 hours by using Jenkins, Docker, and GitHub Actions . • Integrated the ZXing library into the production Android app to enable QR code scanning for clothing labels, reducing manual input time and improving operational efficiency.
  • B
    Machine Learning Engineer Intern
    Bharat Diamond Bourse
    May 2021 - Sep 2021 (5 months)
    • Developed and deployed predictive models in Python with Linear Regression to analyze diamond price trends, reaching 87% accuracy through feature optimization and advanced training techniques. • Used scikit-learn and matplotlib for statistical data analysis and visualizations of trends in marktet price.
Education verified_user 0% verified
  • N
    Master of Science
    Northeastern University
    Jan 2023 - Dec 2024 (2 years)
  • University of Mumbai
    Bachelor of Engineering
    University of Mumbai
    Aug 2018 - May 2022 (3 years 10 months)
    Computer Science
Projects verified_user 0% verified
  • T
    Text Translation System
    Jan 2024 - May 2024 (5 months)
    • Created a multilingual text translation system using Transformer and LSTM architectures, achieving 91% accuracy across various language pairs like English-German and French-English. • Upgraded the pipeline with hyper-tuned models and attention mechanisms, reducing training time by 30%.
  • I
    Image Transformation
    Sep 2023 - Dec 2023 (4 months)
    • Built a Java based image processing app with MVC architecture to handle multiple images and apply advanced manipulation features like flip, blur, sepia, etc. • Applied Object Oriented Programming principles to design a modular, maintainable, and scalable codebase, decreasing code duplication by 30%.
  • T
    The Novel Society
    Jun 2023 - Sep 2023 (4 months)
    • Designed a community platform for book enthusiastusing the MERN stack and relational database, fostering dynamic user engagement. • Enhanced backend with Node.js to handle traffic, improving stability and reducing response time by 1 second.
  • C
    Candle Stick Chart Pattern Recognition
    Jan 2021 - May 2022 (1 year 5 months)
    • Engineered a real-time stock analysis tool using Django, enabling efficient data processing and user interaction. • Leveraged TensorFlow models (SVM and CNN) to analyze 10,000 stock patterns daily, optimizing predictions with advanced machine learning techniques. • Made use of relational database, to keep track of the stock prices and candle patterns