About
Software developer with experience across the full stack — from backend systems in C# and .NET to front-end interfaces in JavaScript and HTML/CSS. Comfortable working with data pipelines, cloud infrastructure (Azure, Kubernetes), and security tooling (RSA Archer). Currently based in Toronto, working at RBC Capital Markets. Graduate of PES University with a background in big data, machine learning, and distributed systems.
Technical Skills
Experience
Building and maintaining software systems at one of Canada's largest financial institutions, working across backend services, tooling, and infrastructure.
Certifications
Projects
Enhanced k-means clustering performance using Hadoop, Mahout, and GPU parallelization, achieving ~21% improvement in processing speed on large datasets.
Predicted the 2012 U.S. election outcomes by performing sentiment analysis on Twitter data using the Twitter API and Python's Natural Language Toolkit (NLTK).
Comparative benchmarking of relational vs. distributed NoSQL storage at scale using the Elgg social framework as the application layer.