• Produced technical training demos for cutting-edge AWS and Azure products showcasing practical use-

cases of advanced cloud architecture and novel technologies

• Created training routines for a range of technical DevOps procedures using AWS and Azure, deploying

mock cloud infrastructure provisioning and management, and data engineering workloads

• Created programs and workflow-enhancing scripts with Python to automate AV processes in creation of

training materials using

• Produced technical training demos for cutting-edge AWS and Azure products demonstrating practical

use-cases of novel cloud architecture and technologies

• Created training routines for a range of technical DevOps procedures using AWS and Azure, deploying

mock cloud infrastructure provisioning and management, and data engineering workloads

• Created programs and workflow-enhancing scripts with Python to automate AV processes in creation of

training materials using Python (signal processing, computer vision, Windows API, AV processing), Bash

scripting, and C++

• Data analysis through principal component analysis, clustering, and regression analysis and digital

signal processing with with Python to predict sequence-property relationships and graphene-binding

affinity of neuropeptides

• Deployment and provisioning full-stack web applications with REST API using AWS, React, Django,

PostgreSQL, and Docker

• Assembled reports, created and followed strong project deadlines, and presented effectively

• Led a team of undergraduates to determine amino acid sequence motifs most linked to graphene-

binding in neuropeptides