I'm a software engineer currently pursuing my
Masters in Computer Science at the University of Florida.
Close to four years in the industry has given me invaluable experience in
the field and I hope to build on that in the years to come.
I'm comfortable working on the back-end as well as the front-end of applications.
On a more personal note, I like creating abstract mixed media art.
(@fibonacci_on_paper)
I'm a fan of Chelsea FC and was the captain of my soccer team in high school.
I have quite a bit of experience with various percussion instruments and have performed at
various venues.
• Designed and implemented the backend of an end to end platform for finance and enterprise resource planning.
• In charge of developing several core modules of the platform such as payments, user invites and new recruit onboarding activities.
• Responsible for integrating external third party banks such as Yes Bank and Taxilla into the platform.
• Delivered and deployed a web application in Linode to plan inventory stocking in warehouses as part of the supply chain process.
• Trained and tested deep learning neural networks as well as other machine learning models to predict customer demand.
• Designed and developed interactive dashboards for effective data visualization of forecasts.
• Reduced mean absolute percentage error, of forecasts in the demand of laboratory automation products, from 70% to 30%
• Nominee for “Outstanding Thesis of the Year” in MIT Zaragoza Logistics Center out of 30 teams.
View Github Repository
• Led the design, implementation and launch of the application which handled all revenue data
of Disneyland, Paris.
• Created several microservices which securely extracted, processed and uploaded the
identified trends in the data into the cloud.
• Built the control file management system which helped microservices identify their input and
output files 50% faster.
• Recipient of “Client and Customer Award” for outstanding contributions to Disney’s business
outcomes.
Performance
review from my manager
• Developed and enhanced code to poll files 30% more efficiently.
• Automated test scripts to eliminate human errors and work 23% faster than manual
testing.
View
Project Website
Performance
review from my manager
Performed regression testing which identified over 35% of bugs in the developed code before
deployment into production.
View
Project Website
A complete implementation of Twitter from scratch.
View ProjectWebsite displaying the analysis of crime statistics extracted from database.
View ProjectImplementations of various concepts of Computer Vision using MATLAB.
Spring Boot, Django, Node.js, Ajax and Phoenix.
Oracle, PostgreSQL, MS SQL, ETS, MySQL and IBM Informix.
Java, Python, Selenium, C, C++, Elixir, MATLAB.
HTML, CSS, JavaScript, React, SCSS.
Jenkins, Apache Maven, Jira, Git, Apache Subversion, CI/CD, Agile methodology
Amazon Web Services, Microservice Architecture, Docker Containers and messaging queues like RabbitMQ.