With a B.S. in Computer Science and over 7 years of experience, I've transitioned from a Data Engineer to a highly effective Cloud/Platform Engineer. My expertise lies in designing and deploying robust, high-availability infrastructure across platforms like OpenStack, AWS, and GCP, specializing in Kubernetes orchestration, CI/CD with Terraform and GitLab CI, and optimizing data pipelines.

I am driven by impactful results, having engineered an in-house network visibility platform that achieved over $200,000 in annual cost savings. My skillset extends to Machine Learning (PyTorch) and managing high-performance databases (PostgreSQL, Snowflake, MongoDB).

Self-Hosted Baremetal Kubernetes Cluster

infrastructure

Personal project serving as a live, full-stack demonstration of Platform Engineering proficiency, hosting personal applications and this website.

Custom Network Observability Platform

infrastructure

In-house network visibility solution replacing licensed product, achieving over $200,000 in annual cost savings.

OpenStack Private Cloud Infrastructure

infrastructure

Architected and deployed a private OpenStack cloud infrastructure for telecom data platform.

ML Network Health Detection System

ml

Containerized regression ML models in PyTorch to identify unhealthy network devices.

Data Warehouse Modernization

data

Developed and maintained a data warehouse for BI and company operations.

Data Analytics Automation Platform

data

Automated data cleaning processes and developed daily progress reports.

Highlighted Achievements

  • Flit-Path Scholarship: Finalist and recipient of the Flit-Path 4-year scholarship
  • 5K/Family Event: Planned and managed a 5K event to raise awareness for cancer and ALS
  • ShellHacks 2019: Developed demo web application with Vue.js and Node.js
  • Career Progression: Progressed from Data Engineer to Cloud/Platform Engineer

Innovative Solutions

  • CI/CD Processes: Implemented ArgoCD and Airflow for seamless delivery
  • Cloud Infrastructure: Architected across AWS, GCP, Azure, and OpenStack
  • Containerization: Managed highly available Kubernetes clusters
  • Data Platforms: Built scalable platforms with PostgreSQL, MongoDB, ArgoCD