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About Me
Education & Professional Work Experience
Education
MS in Management Information Systems
University of Illinois at Chicago
Bachelor of Technology in Information Technology
KIET Group of Institutions
- - Academic Achiever
- - Student Mentor: Python, Node.JS, MySQL
- - Student Training Coordinator: Backend Developer
Professional Work Experience
Application developement Senior Analyst
Accenture
- - Designed well-structured APIs and SAP Integrations in .Net framework, with 90% test coverage.
- - Optimized Azure services deployments using Azure Bicep, which increased the overall time savings by 30% compared to ARM templates.
- - Collaborated with cross-functional teams and onshore clients to gather requirements and develop a high-level solutions.
- - Developed and configured YAML files to build and release pipeline in Azure DevOps.
Internships
MLOps Intern
LinuxWorld Informatics Pvt Ltd
- - Integration of Machine Learning model with Docker and Jenkins for automation purpose.
- - Web application deployment using Jenkins installed in dockerfile.
Data Analyst
Yantra Byte
- - Capstone project: Analysed the effect of GDP on employment by performing EDA on World bank data
These are my
Personal Projects
Ecommerce API
- - Implemented the backend of an e-commerce website in Node.js and MySQL database.
- Added JWT authentication, Redis caching, Winston logging, and Sentry alert, which significantly enhanced the performance and security of the application.
- Added Mocha test cases to ensure reliability and quality assurance.
Javascript Based Games
- - Grab the coins: Developed a JavaScript-based game where the player aims to collect coins while navigating through obstacles.
Adopted DOM elements to create various game objects, which improved the overall cross-browser compatibility and user experience by 70%.
- Brick Break: Developed a classic arcade game where players control the paddle to bounce a ball and bricks. Used canvas context to draw the game's elements, including the ball, paddle, and bricks. Added multiple levels, sound effects, and bonus assets.
Mask Detection
- - Created custom dataset using supervise.ly.
- Launched the pre-trained ML model for mask detection on AWS to make it accessible for various applications and services for real-time or batch processing.