Key accomplishments

Web Development:

  • Led the development of a high-traffic e-commerce platform using React and Node.js, improving website performance by reducing page load times by 40%.
  • Designed and implemented a Progressive Web App (PWA) for a news organization, resulting in a 50% increase in user engagement and a 20% decrease in bounce rates.
  • Integrated a serverless architecture using AWS Lambda for a microservices-based application, reducing infrastructure costs by 30% and improving scalability during peak traffic periods

Machine Learning:

  • Developed a deep learning model using TensorFlow to accurately classify and segment medical images for early detection of diseases, achieving a 95% accuracy rate.
  • Implemented a transfer learning approach with BERT in natural language processing to enhance sentiment analysis in customer reviews, leading to a 30% increase in accuracy compared to traditional models.
  • Published a research paper on leveraging reinforcement learning techniques to optimize supply chain logistics, resulting in a 20% reduction in transportation costs for a major logistics company.

Role 1
Backend developer
Role 2
Machine learning engineer
B2b software and services > engineering product and design
Any
Junior
United States
Any
NA
Remote

Education

  • August 1 2013 - July 31 2017
    Fordham University

    MACHINE LEARNING AND SOFTWARE ENGINEERING

    Studied on Machine Learning, including image recognition and natural language processing, based on PyTorch and Tensorflow Big Data processing with Hadoop, Spark, Pig using Java language


Experience


Portfolio


Expertise

Web Development
95
Machine Learning
90

Languages

English

Honors & awards

  • 2023

    Star of Project

    I got this award for my solution to resolve the challenging problem in our AI project.