About

I'm a Computer Science graduate student with a passion for Computer Vision. I thrive on exploring diverse domains within the ever-evolving realm of Computer Science, believing in the power of learning through hands-on experience. My journey began as a Software Developer, but I've since embraced opportunities in Machine Learning, Computer Vision, and Data Science.

This page offers a glimpse into my work in these fields, and I'm committed to expanding my technical expertise. Feel free to explore my resume for a more summarised overview.

Research experience

  • Research Assistant
    2023 - 2024
    Arizona State University w/ Mayo Clinic
    Researched Medical Imaging using modern computer vision and deep learning techniques. Focused on MRI image denoising through innovative methods like diffusion and vision transformer models.
  • Software Developer
    2021 - 2022
    IIST - Indian Space Research Organisation, India
    Researched on improving hologram generation with deep learning techniques for versatile space exploration and land-rover missions, eliminating the need for lasers and physical equipment.

Work experience

  • Technology Developer - BA4
    2024 - Present
    Barclays, Whippany
    Implementing dynamic configuration management for a Kafka-based data streaming platform, improving CI/CD pipelines using GitLab and Chef, and working on integrating GenAI solutions for Enterprise Data Platforms.
  • Summer Developer Analyst
    2023 - 2023
    Barclays, Whippany
    Developed and deployed NLP chatbots to improve JIRA error reporting. Designed a queue-based system library and implemented MS Teams notifications with Apache Kafka, optimizing connectivity and collaboration
  • Software Developer
    2021 - 2022
    Sabre, India
    Worked on migration of various data management platforms to Google Cloud. Improved APIs, designed efficient cloud architecture, and developed automated pipelines for optimized data management and seamless integration with legacy systems
  • Software Developer
    2020 - 2021
    Publicis Sapient, India
    Key contributor to GameStop's digital transformation, maintaining zero downtime during peak sales. As a full stack web developer, deployed new features built using Saleforce Cloud Commerce and Spring microservices and optimized website functionality using Google Analytics insights.

Education

Awards

Certificates

Deep Learning Specialization
DeepLearning.AI through Coursera
Introduction to Data Science in Python
University of Michigan through Coursera
Machine Learning
Standford University through Coursera

Volunteer

Interests

Computer Vision
Data Mining and Analystics
Machine Learning and Operations
Software Development
Cloud Architecture and Designing
Photography