The position was the role of an embedded software engineer, Halo Rise code was written in C

Spearheaded the entire lighting module (lamp on/off and brightness control), sunrise/sunset simulation (authored the lighting effects on the device and routed parameters being passed in through Halo App via AVS), visual indicators (indicators on the clock display and lamp to alert user of various device conditions), wifi-setup (via ACS), button UX, and accessibility features

Collaborated with PM's for product requirements, QA's for robustness of features, Halo App team in India to sync Halo App and device settings, and optics team to provide smooth lighting animations

At its peak, Halo Rise was reviewed 4/5 stars on Amazon

Reduced time required to setup environment and run the script from ~10 minutes to ~15 seconds

Provided a GUI for the script; could previously only be run from the command line

With usage of AWS stack, database functionality is granted; no centralized repository of analyses before this

Developed the frontend website with React and utilized the Material-UI framework to create the user interface; Axios module was used to make GET and POST requests to the AWS infra

Utilized AWS API Gateway to filter requests being made to the AWS stack, and redirect specific requests to the appropriate Lambda handler functions

AWS Lambda (Python 3.7) was used to host all of the backend scripts and packages needed to process requests passed by API Gateway

Stored relevant files in various S3 Buckets and funneled all metadata regarding these files into DynamoDB tables; frontend client would query these tables to provide the database functionality

Provisioned an EC2 instance to host the frontend client; was also used for access provisioning through the concept of security groups

Deployed code following the Github Pipeline

Funneled logs from a multi-node ISE deployment using Filebeat into a Docker container that holds the Elastic Stack (Logstash, ElasticSearch, Kibana)

Developed a Ruby Script that reads each log line as an event, and uses regex to capture specific fields from the event and convert in into a JSON-like response body for ElasticSearch storage

Built elaborate dashboards that allowed for easy log visualization/analytics as well as easy filtering to find specific log information

Utilized for customer support as well as developer/production environments to see log analytics during live coding sessions

Completely developed in Java and was built around the Jackson package to build request and response objects

GET/POST/PATCH/DELETE functionality provided by this API

Worked with Postman to formula and test requests

Integrated Microsoft Outlook Scheduling into Cisco Webex Teams product

Be able to schedule Outlook meetings between all users in a Webex Teams space; finds all available rooms and times

Developed in Python, HTML, CSS, and Javascript and worked with the Microsoft Graph API

Developed product and testing features with Python and Golang

Utilized Docker to run services in a container and spawn multiple instances of them for load-testing

Incorporated Protocol Buffers and gRPC to structure testing data and run them against our internal tests