Work Experience.

04/2024 – Current

Okta

Senior Software Engineer

04/2022 – 04/2024

Software Engineer II

05/2021 – 04/2022

Software Engineer I

Directed the development of an automated health metric services of our

CI/CD

pipeline to aid on-call using

NodeJS

and

Python

, which reduced 4 months of work per on-call developer a year.

Automated application deployments using

Terraform

and

AWS ECS

clusters.

Led the development of a microservice to run batch

ETLs

and perform data aggregations from

MySQL

MongoDB

, which can handle over

20 million requests a day

Started and completed development of an entire CI/CD pipeline from UI using

ReactJS

to intergrating with a

Java

backend using

AWS lambda

SQS

and

EC2 machines

05/2020 – 07/2020

Amazon

Software Engineer Intern

Developed a dynamic log parsing module in

Typescript

in the

Alexa Media Processing Team

Integrated latency statistics for

WebRTC

media applications build on the Media Processing platform, using

and

GStreamer

Created a visualizer of complex relational graphs, using

ReactJS

and

, of Alexa's media pipeline using data from my log parsing module.

Decreased the time required to search for an element in the media pipeline from an

average of 6 minutes to less than 10 seconds.

05/2020 – 04/2021

Okta

Software Engineer Intern

Developed a new

CI/CD

platform, using

ReactJS

for the frontend and

Java Sprint Boot

for

REST APIs

on the backend, that automates running scripts to test and build

Docker

images.

Created and optimized

MySQL

queries to fetch user data, which reduced the time taken from over

20 seconds to less than 2 seconds

Reduced the time needed to create a new release by

40%

, from the new platform's UI/UX and performance optimization.

Deployed the platform using

NGINX

Docker

, and

Amazon Web Services

05/2019 – 08/2019

IBM

Backend Cybersecurity Intern

Worked on

QRadar

, a security information and event management system.

Developed the deployment of the pipeline, using

Docker

Kubernetes

Artifactory

Jenkins

, and

Ansible Playbooks

in my DevOps scripts to automate the management of docker images in development and production.

Automated code scans to detect bugs and code smells by integrating

SonarQube

to our

Jenkins pipeline

which

reduced 200+ critical bugs

Added new functionalities to manage the

PostgreSQL

database and the

Apache Kafka

using

Java

Dockerized

the monolith architecture into an elastic pipeline with a cloud architecture

11/2018 – Current

Moldavite

Founder

Founder and Sole Proprietor of Moldavite, a software consulting provider.

Demoed

pitched

, and

piloting

the product, Moldavite Survey, a data visualisation and survey analytical platform at multiple companies.

Provides services for clients with a range of products from creating a CMS using

React.JS

and

Node.JS

to CI/CD automated testing using

Jenkins

Selenium

, and

Python

Developed databases and servers using

Google's Firebase/Firestore

Google Compute Engine

, and

App Engine

Languages/frameworks that are mainly used include Python, Node.JS, GCP, AWS, React.JS, Linux VMs

08/2018 – 12/2018

PowerHub Ltd

Fullstack Developer, Contract

Worked on fullstack development of a CMS, hosted as a website, connected to a Firestore database.

Pitched

and

sold

initial CMS for

$15,000 CAD

, then worked on maintenance and new features

Allowed users to schedule events, manage employees and inventory, and automate assignment of the best suited employee for each event using a custom

machine learning algorithm

built with

TensorFlow

, which

reduced man hours required by over 40%

Used

Vue.JS

and

Webpack

to design the front-end of the Progressive Web App,

Node.JS

and

Express.JS

for backend REST APIs.

Wrote scripts, using

Javascript

, that generates Word/Excel documents such as invoices and performance reports based on data from the database and a data analytics algorithms,

automating over 30%

of the business' operations

08/2018 – 05/2019

Athena Education

Machine Learning Engineer, Contract

Developed

NLP engines

to determine the correctness of students' answers to a given question using a

NER model

Used Big Data in creating classifiers that will automatically guide students to discover their weaknesses, such as grammar, diction, sentence structure, etc.

Languages/frameworks that are mainly used include Python, spaCy, Node.JS, PHP, and AWS.

11/2018 – 03/2020

Eight & Company Inc

Full Stack Developer, Part Time

Developed a

React.JS

web app that graphs user data and generates relationship/network graphs based on data analytics from a

MySQL

database.

Created a custom graphing framework using

that can generate a range of charts and also dynamically creates nodes to represent data points and its relation to others.

Used Gmail's API to collect data to be stored in the MySQL database and hosted the platform on

Google Compute Engine

11/2018 – 05/2019

Markdale Financial Management

Junior Full Stack Developer, Part Time

Worked on

blockchain

development from creating trade bots to doing full-stack development on a Content Management System using

HTML

CSS

, and

Node.JS

with an Ubuntu Server.

Integrated features like analytics of crypto trends and also depositing, withdrawing, and transferring cryptocurrency.

Created

DevOps

scripts to automate setting up the

MySQL

database and

NGINX

configurations.

05/2018 – 08/2018

Set Sail Software

Software Engineer Intern

Developed

conversational chatbots

for high profile clients with traffic of

over 100,000 conversations a day

Utilized NLP and created classifiers via

Sci-Kit Learn

, and used image recognition through

TensorFlow

Built

RESTful APIs

and crawlers to extract data.

Developed conversational chatbots using bot frameworks and applications in Facebook Messenger and web widgets.

Researched and developed NLP processing including integration with NLP frameworks like

spaCy

, and integrated with

entity extraction

and

context

Created classifiers via Sci-Kit Learn and TensorFlow, additionally with neural networks and SVM in Python.

Used

Amazon Web Services

and

Google's Firebase/Firestore

cloud data storage.