About

I'm a Senior Software Engineer at Microsoft Azure Storage, where I architect and build high-availability distributed systems that serve millions of users worldwide. My work focuses on deployment automation, disaster recovery, and performance optimization at scale.

With a strong foundation in cloud infrastructure and distributed systems, I've reduced deployment cycles from weeks to days, optimized microservices to run 6x faster, and built systems resilient enough to withstand regional disasters. I thrive at the intersection of system design, automation, and reliability engineering.

Previously, I worked at Capital One building petabyte-scale data infrastructure and at J.P. Morgan Chase modernizing enterprise systems. I hold an MS in Computer Science from Florida Polytechnic University, where I researched AI and machine learning applications.

Outside of work, I'm passionate about exploring new technologies, contributing to open-source projects, and mentoring early-career engineers.

Experience

  1. Senior Software Engineer · Microsoft

    Architected D-TAP (Deployment Test Automation Pipeline) reducing test cycle from 1 week to 2 days.

    Reduced microservice runtime from 60 minutes to 10 minutes via async multi-instance design with Azure Message Queues.

    Developed hotfix patching tool for incident mitigation during sev1/sev2 outages.

    Improved deployment system availability to tolerate machine, cluster, and regional disasters.

    • C#
    • .NET
    • Azure Storage
    • Azure Message Queues
    • Azure VMs

  2. Senior Software Engineer · Capital One

    Built a sensitive data scanner for AWS S3 lakes using Apache Kafka.

    Reduced dataset size from 80GB to 10GB using Parquet transformations.

    Automated load balancing across 50k+ EC2 instances.

    • Java 11
    • AWS S3
    • Apache Kafka
    • EC2
    • RxJava
    • Parquet

  3. Software Engineer · J.P. Morgan Chase

    Migrated core .NET systems to Java/WebSphere.

    Developed CLI tools to streamline deployments.

    Awarded Five Keys Recognition for customer relationship excellence.

    • Java
    • WebSphere
    • .NET
    • CLI Tools

  4. Graduate Research Assistant · Florida Polytechnic University

    Built AI models translating American Sign Language to Speech using HMMs.

    Co-authored multiple papers published in international ML/AI venues.

    • Python
    • HMM
    • ANN
    • SVM
    • Machine Learning
View Full Resume

Projects

  1. D-TAP Pipeline

    Deployment Test Automation Pipeline that reduced test cycles from 1 week to 2 days at Microsoft Azure Storage.

    • C#
    • .NET
    • Azure
    • Automation

  2. Async Multi-Instance Microservice

    High-performance microservice architecture using Azure Message Queues, achieving 6x performance improvement.

    • C#
    • Azure Message Queues
    • Distributed Systems

  3. Sensitive Data Scanner

    Enterprise-scale sensitive data scanner for AWS S3 data lakes using Apache Kafka at Capital One.

    • Java 11
    • AWS S3
    • Apache Kafka
    • Big Data

  4. ASL to Speech Translator

    AI-powered system translating American Sign Language to Speech using Hidden Markov Models.

    • Python
    • HMM
    • Machine Learning
    • AI