Alvyl Consulting - Company Profile

Reunify - Helpify

Helpify is a platform that allows customers of a business to request for help/assistance, for a specific product or service of that business.

It enables resolution of help requests in a time sensitive manner, mostly in a few minutes, with the help of 2 mobile apps. One customer facing app and another business facing app.

Helpify platform offers valuable insights into the business.

Technologies/Tools: Android SDK, Google Maps API for Android, Java, Spring MVC, MongoDB, Tomcat Application Server, Amazon’s EC2, Amazon SES, Amazon SNS, Maven, Jenkins CI.

Reunify - Beat

Beat is a web application designed to receive feedback from customers of a business in the form of customizable Surveys, that run on Kiosks. The feedback is processed for insights and reports.

Beat is currently running in production receiving feedback from multiple kiosks(1500+) from approximately 200 business locations.

Technologies/Tools: Java, Spring MVC, Spring JDBC, PostgreSQL, Tomcat Application Server, Amazon AWS, HTML5, Angular JS, JQuery, Maven, Jenkins CI.

Reunify - Trace

Trace is a web app that brings actionable real-time insights about stores and their customers, and gives them the right tool to focus on customer experience.

It is an AI-Powered solution to increase Retention and Personal Training Up-Sell and Marketing in the Health and Fitness industry. Trace processes 10M+ Member Check-ins, 50K+ Member Interaction Logs a month across 200+ business locations.

Technologies/Tools: Java, Spring MVC, Spring JDBC, PostgreSQL, Tomcat Application Server, Amazon AWS, HTML5, Angular JS, JQuery, Maven, Jenkins CI.

Reunify - Business Intelligence Dashboard

We built Business Intelligence Dashboards showing various Data Visualizations for the consumption of CXO’s.

The initial dashboard was on Tableau. Its currently being migrated to Alvyl Loom platform offering, because of it economic viability.

Technologies/Tools: Tableau, Alvyl Loom

Reunify - DevOps Monitoring

We implemented realtime monitoring of Reunify’s Trace production app.

Implementation started with New Relic, and we later migrated to Open Source monitoring stacks with Stage Monitor based on ElasticSearch, and finally to Prometheus.

Technologies/Tools: New Relic, Stage Monitor - Kibana, Prometheus - Grafana

Reunify - Data Pipeline

Automation of Data Analysis workflows at Reunify, comprising of many manual steps spanning across Acquisition, Cleansing, Preparation, Processing, Training Machine Learning Models, and Deployment of Member Risk Scoring services at Reunify.

Technologies/Tools: Apache Airflow, Kubernetes, Docker, Bash Scripting, Python Scripting, AWS EC2 and AWS S3.

Reverie - DevOps Monitoring & Automation

We have implemented Monitoring across Machine, Servers, Databases, followed by Tuning, Scaling and Optimizing Cloud Infrastructure.

Efforts also included solutions for implementing Automation of DataStores Backup & Recovery.

Technologies/Tools: Terraform, Azure, Docker, Airflow and Bash

TagBox - DevOps Monitoring & Optimization

We helped scale Tagbox’s Big-Data Analytics platform infrastructure to be able to support

50,000 edge node sensors collecting 1 telemetry data point every 1 minute
Collected and relay telemetry to the backend via 500 gateway devices in burst mode.
Consume raw & processed telemetry data by 1000+ users at any given instant of time.

Technologies/Tools: Terraform, Azure, Azure IOT Hub, Docker, Prometheus, Grafana, Locust & Vegeta.

Niranta - CouchRecruit

Couchrecruit is a SaaS platform that aims at being a marketplace and an ecosystem that engenders collaboration of many stakeholders across the hiring workflow, spanning participation from Companies, Recruiter, Recruiting Agencies, Candidates and Vendors.

The platform also aims to empower recruiters by allowing them to choose and work on job openings directly and earn a significant portion of the finders fee.

Technologies/Tools: Java, Spring MVC, Spring JDBC, PostgreSQL, Tomcat Application Server, Amazon AWS, HTML5, Angular JS, JQuery, Maven, Jenkins CI, Google Material Design, AWS Lambda, AWS Elastic Beanstalk, Docker, Bitbucket Pipelines.

Vocera - Rally to JIRA Migration

We implemented the migration of historical project management data from Rally to JIRA.

This project was particularly challenging because the project organization, workflow, data types and schemas between the 2 systems were very distinct. Adding to the challenge was the sheer volume of data that had to be migrated and the customizations tailored per project team.

We have successfully migrated around 34 projects containing a total of 108,000 artifacts including attachments, without disrupting the project teams ability to perform their daily jobs.

Technologies/Tools: Ruby, NodeJS, CSVKit, Ubuntu, Rally, JIRA, Bash Scripting, Handwritten ETL migrations scripts, Various stream based NodeJs libraries.

NetControl - Web Tools

We migrated Data from self hosted(on-premise) Databases to Cloud based Database providers.

The job involved traversing complex schema and the associated data comprising of approximately 140 tables and with 5 levels of table dependencies.

We also implemented a web based drag-and-drop Document Builder as a compliance engine tool to augment day-to-day document archival activities.

Technologies/Tools: Microsoft SSIS Toolbox, Jquery Form Builder, JSTree

CbCrunch - Roadmap Visualization

A Roadmap Visualization tool, similar to that of Roadmunk.

This is a tool especially designed for project management in an organisation. One can set the goal, create timeline and set milestone for any given project.

The User Interface involves real timelines and other data visualizations, built using Data Driven Documents.

Technologies/Tools: Angular CLI, Angular JS, Material Design, D3.js

Spoorthi Technologies - Silkworm

Silkworm is an IoT project, built on top of Alvyl Coocon platform, for the acquisition of operational & performance data from Industrial Screen Printing machines.

The platform helps with integration and acquisition of real-time data from the Industrial printing Machines & Sensors at Scale.

It is optimized for lowering the cost of ownership, and is based on Serverless model of Cloud Computing.

Technologies/Tools: Aws IoT Green Grass Core, Python, Java, NodeJS, AWS Lambda, DynamoDB, Serverless Framework, Amazon API Gateway, AWS Cognito, AWS SQS, AngularCLI