Last updated - August 2024
Alida
Developed a Node.js backend adhering to RESTful patterns, which helped transition to a modern reporting solution and enhancing system performance by 60%, as evidenced by reduced memory consumption. I led features such as Exporting a report, cache managment of reports and optimizations.
Worked on the design and implementation of a Data Ingestion service using AWS SQS and SNS, and achieved a 20% reduction in data load times and enhanced system reliability.
Spearheaded developer productivity initiatives such as automating OpenAPI specification generation from Golang code, writing reusable Github actionsfor CI/CD workflows.
Also, set up End-end test framework containerized in Docker, which greatly increase the code coverage.
Statistics Canada
Implemented a crop-area estimation model using Pytorch which reduced the dependability on manual surveys by 50%. Processed geo-spatial data with Python by chunking and transformations for CNN model input.
Developed a comments-classifier for the 2021 Canadian Census, using semi-supervised learning and bi-directional LSTM network. The classifier reduced the manual work hours by > 80% and earned widespread organizational recognition.
ZS Associates
Spearheaded the development of a web application used for contracting by pharmaceutical companies.
Reduced the load time of front-end reports from < 1 minute to > 15 seconds by reducing client-side processing and optimizing Angular performance. Responsible for writing Stored procedures for a MySQL database.