Nikhil M

A Python Django-based application with Celery background processing used to process receipts and bills for users to extract accounting information and operate it in the overall system. Users could:

• Review the extracted results before approving the information to be stored in the system, which would automatically be entered into their accounting books.
• Upload the receipts by web or mobile.
• Email the receipts to be processed.

The production infrastructure, including monitoring, was set up using Terraform. The deployment was done to a Kubernetes cluster using Flux CD for continuous deployment, and GitHub Actions were also used for CI/CD processes.

A cloud service to provide customers with web hosting for internet radio stations and an embeddable UI for their listeners. This was designed as a microservices architecture that included the following:

• An Angular UI for customers to sign up and create and manage their radio stations, schedule offline and live programs, create live stream options, and design their embeddable players for listeners
• A Ruby on Rails back end for the above UI to process requests and call other services to perform necessary actions with MySQL as the centralized database
• A Ruby on Rails and Sidekiq app to manage billing subscriptions, recurring billing, and suspension and termination of services with Quickbooks as the accounting back end with third-party integration
• A radio station hosting setup on multiple global locations using Express.js-based applications in each server to manage radio stations
• A Rails and Memcached-based CDN service to provide embeddable players
• A monitoring service using RRDtool to collect analytics on radio stations' listeners where the data was visualized as metrics, tables, graphs, and geo charts
• A monitoring service to scan the infrastructure and raise alerts if any issue arises

An extensive set of AWS automation flows processing around 2TB of data per week for a retailer. This comprised AWS Lambda, Amazon Simple Queue Service (SQS), and an AWS CloudWatch cron. AWS CloudWatch dashboards were created displaying metrics, with graphs and alarms to notify tech of any issues. The deployment was done using Serverless Framework and AWS CloudFormation, and the codebase was written in Python.

I composed scripts to automate internal flows interacting with an organization's customers.

The scripts included automated campaigns through email and SMS with the specific configuration, an automated script to onboard customers to Intercom periodically, and notifications for each script status, which were also sent to Slack.

I developed a web application for a company's sales teams. It helped users to manage multiple sales teams and a list of their members; each member has a specific role. Each sales team belongs to a specific department.

The app also included event management, including attendee management for each event. Each sales team can be assigned goals with progress tracked. We also provided a trophy system that could be assigned to users based on individual achievements.

The app has an overall dashboard to track different types of progressions and track statistics of sales. The app also provides a way to send memos and announcements to team members or the entire organization. The memos and announce follow the viewer count. The app periodically pulls a team member's sales statistics from an external SOAP API into the web application.

I built an Electron-based desktop application with a Ruby on Rails back end. The application is used to present and view the content for classrooms. It also supports editing content by admins and includes integrated support to call on-site personnel for support issues.

The front end of the desktop application was built using Angular. The front-end media player for certain content was enabled through an integrated VLC-based plugin as a Java application.

A secure serverless web application to configure an AWS infrastructure environment based on day-to-day evolving business changes by non-tech personnel. The AWS infrastructure ran daily business-critical automation flows for a retail company. The non-tech personnel used the results of the automation flows for business decisions.

This application used AWS Lambda written in Python for the back end, Amazon API Gateway as the HTTP interface, React for the front end, and AWS S3 for hosting. The deployment was handled using Serverless Framework.

Manual bank reconciliation processes for accounting software created in Python Flask to add to the existing automated bank reconciliation processes. These were meant for customers who needed to edit and add bank transactions before reconciling them, especially for old transactions. Options were also provided to bulk upload transactions.

A Python Flask-based bulk export setup done as part of an existing Flask application to allow users to bulk export their expenses or bills in accounting software. Previously, the support team had to manually handle any request for such export.

I developed a web application that tracks the fitness regime of users with respect to physical exercise.

The app also provides a comprehensive set of exercises that are categorized by the muscles affected. Users can add their own set of exercises, select from built-in sets of exercises, set a schedule, and track their progress periodically. Notes for each workout session can also be added to keep track of things to remember.

I developed a Ruby on Rails-based web application with a Bootstrap-based UI. This application managed the employee information for an organization across multiple locations and is accessible to employees. Employees could also upload documents related to organization policies and related activities. All employee data was searchable by location, name, or role. Documents were made searchable by name or tags such as HR.

I made a web application to manage activities and events associated with them. The activities have several events associated with them, with each activity managed by a coordinator and consultants. The app has provisions for managing and viewing documents related to each activity and compliance required. Each activity has evaluations to be tracked as well. The app also tracks the progress of the activity. An analytics dashboard is present to provide insights into all activities.

I built a web application that tracks a series of sessions attended by users.

The session attendance and other information are imported through a spreadsheet manually and through automated import URLs periodically. The users can check each session's status, date, and other information and verify them. The users can raise discrepancies, if any, which are checked and verified by admin users. The application has the ability to export the latest data into a spreadsheet.