Resume

Fullstack .NET Lead Developer

Over 11+ years of professional hands-on Experience in analysis, design, development, test and deployment of Web and Cloud applications using C#, Angular, ASP.NET MVC, Azure , ReactJS, .NET Core, REST Web API, SQL Server, RabbitMQ, JavaScript, Git, etc.
  • Hands on Web App, Frontend, Backend, API and cloud native application development and maintenance.
  • Develop and maintain high-quality web apps and automated tests.
  • Lead end to end development of multiple projects (Team size: 5-7).
  • Extensive experience in SQL Server (stored procedures, triggers, indexes, views), Optimize T-SQL and improve performance .
  • Translate business requirements into technical solutions.
  • Instill best practices; write clean code.
  • Build, deploy, monitor, and operation of production services.
  • Troubleshoot and Resolve production issues.
  • Identify issues proactively that may impact delivery
  • Meet aggressive timelines with optimal solutions.
  • Participate in an Agile ceremonies, CI/CD, Code reviews.
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TECH SKILLS

Over 11+ years of Hands-on Experience in analysis, design, development, test and deployment of Web/Cloud applications using Microsoft technologies.

  • Web App Development
  • Cloud Migration
  • Test Automation
Cloud Azure, AWS
Front-end Angular 12, ReactJS, Blazer
Web Applications C#, ASP.NET MVC, .NET 3-8
Database SQL Server, PostgreSQL, MongoDB, Cosmos
API REST, Web Sockets, WCF
Client-side HTML, CSS, JavaScript and jQuery
Server-side Node.JS, Spring Boot
Queue RabbitMQ
Messaging Service Bus, Event hub, Event Grid
Cache Redis
Containers Docker, Kubernetes
Source Control Git,  TFS
CI/CD pipelines Azure DevOps, Jenkins
ORM Dapper, Entity Framework, LINQ
Unit / Integration Tests MS Tests, Nunit, xUnit, TestNG
Test Automation Selenium, SpecFlow, BDD
Azure App Service, Functions, VM, Docker, Blob Storage, Azure AD, Key Vault, App Insights, Event Grid, Service Bus, etc.

projects

fortunate to be working for amazing organizations

Oct 2022 – PRESENT
REWARDS PLATFORM
“Membership Loyalty Rewards Program -as-a-Service” app serves clients like Amex, Marriott members to book resorts and cruise with reward points.
View Project
Jan 2021 – Sep 2022
CLOUD MIGRATION
Migrate and centralize strategic operational workloads in the Azure cloud to save costs, increase Reliability, Efficiency and Scalability.
View Project
Aug 2020 – Dec 2020
PILOT RPV
Determine RPV (Reserves Priority Value) to assign trips to pilots by meeting contractual agreements and Federal rules. We followed Test-driven Development (TDD) approach with 100% code coverage.
View Project
Sep 2019 – Jul 2020
TEST AUTOMATION
Automated the entire manual test case suite of Crew applications by collaborating with the QA engineers as well as leading and mentoring the Dev team.
View Project
May 2017 – Aug 2019
CREW SCHEDULING
Assign trips to flight attendants and achieve maximum trip coverage by considering their bid preference and meet contractual agreements and Federal rules.
View Project
May 2016 – Apr 2017
AIRPORT CHECK-IN
Airport check-in app used to manage all airport activities like check-in, issuing boarding pass and baggage handling. Packed with Crucial functionalities to handle irregular operations like flight delay, cancellation and reschedule.
View Project
Jan 2015 – May 2016
DATA CENTER MIGRATION
Successfully delivered data center migration, app modernization and cloud transformation initiative. Scheduled and executed migration and upgrades of 2000+ application servers (physical and virtual).
View Project
Jan 2012 – Dec 2014
HRMS SaaS App
Developed responsive SaaS web application with multi-tenant architecture. Utilized appropriate serverless Azure resources with minimized cost. Developed Monitoring and Metering dashboard using Azure consumption API.
View Project

INNOVATIVE SOLUTIONS

Here are some projects that I've developed for solving problems to benefit the community.
2010-2011
Emergency Alert System

Developed IoT solution to save lives during road accidents by automatically calling Emergency Services within 30 seconds when crash detected; because every minute is crucial and known as "Golden minutes"

  • Current location (GPS) or last known location will be shared with emergency services for faster recovery of the victims.
  • Designed a black-box system that reveals the history of the vehicle speed in the last 30 minutes.
  • This device is compatible with both Automobiles and motorcycles.
  • Prototype development and paperwork is in progress for filing Patent.
Awards
  • "Best project of the year award" from Kalsalingam University
  • "Great Idea award" from National College of Engineering
  • "Best project award" from GKM College of Engineering
Technologies
Arduino Uno IoT GPS GSM GPRS WebSockets C# Google Maps API
2021
AI product scanner

Developed an AI based product scanner using ML.NET Image classification model.

This utility automatically recognize the products using the camera and enters the item code to the billing system which reduces the customer waiting time at the billing register.

Steps involved:

  • Incorporate the pre-trained TensorFlow model into the ML.NET pipeline
  • Train and evaluate the ML.NET model using training data
  • Classify images from WebCam
  • Re-trian the model again if needed


Technologies
ML.NET C#
2022
Automated invoice processing

Historically, the accounts payable process has been done manually and, hence, very time consuming. Accurate extraction of key data from invoices is one of the most critical steps in the invoice automation process.

The Document Intelligence invoice model uses powerful Optical Character Recognition (OCR) capabilities to analyze and extract key fields and line items from sales invoices, utility bills, and purchase orders.

Invoices can be of various formats and quality including phone-captured images, scanned documents, and digital PDFs. The API analyzes invoice text; extracts key information such as customer name, billing address, due date, and amount due; and returns a structured JSON data representation.


Technologies
Azure Functions Automation Azure Document Intelligence
2022
ENERGY STAR® Benchmark

The first step to saving energy at your building is to benchmark — that is, to measure and compare your building’s energy to similar buildings, past consumption, or a reference performance level.

The ENERGY STAR score compares your building’s energy performance to similar buildings nationwide, normalized for weather and operating characteristics. A score of 50 represents median performance. A higher score is better than average; lower is worse.

We create properties, buildings and meters in EStar using the Web API endpoint. Then we regulary push consumption data, and optional demand data to a specified meter. ENERGY STAR® score will be generated based on the consumption data and building size. Benchmarking turns the information on your utility bill into knowledge you can act on.


Technologies
ENERGY STAR® Azure Functions Azure Document Intelligence
2016
Modern code editor for Legacy languages

Problem Statement

  • QIK IDE (legacy tool) does not have modern features such as syntax highlighting, collapse/expand the code blocks and regions. Developers were frustrated to troubleshoot the code and struggling scroll through long code blocks of loops and conditional statements .

Solution

  • Created a user defined language for QIK in Notepad++
  • This leveraged all the features of the modern code editor for legacy programming language.
  • Resulted in savings of 30 minutes of troubleshooting time per day for the team size of 12 developers (~1500 hours per year) and ~$180k per year.

Technologies
Notepad++
2020
SpecFlow Multi-level Test Automation

Problem Statement

  • SpecFlow does not support parent-child scenario execution; because we cannot execute another scenario from one scenario.
  • For example, we have a details page and summary report; where we want to validate both summary report (parent) and details page (child) for each record in the summary report.

Solution

  • Dynamically activate the instance of the child scenario with all the dynamic parameters to execute all the step definitions of the child scenario.
  • Then re-initialize the parent scenario, when child scenario execution has completed.
  • With this solution, we could automate the drilldown reports that saves ~8 hours of manual regression testing per release (~832 hours per year) and ~$75k per year.

Technologies
SpecFlow C#
2018
Ad-hoc Automation for Critical Prod issue

Problem Statement

  • There was a time-sensitive production issue during go live; Crew scheduling algorithm incorrectly assigned trips to flight attendants that violated the contractual agreements. The entire team needed to find out the incorrect assignments manually since we had to verify the 3000+ flight attendants in downstream application. This manual process is time-consuming and not reliable because of manual intervention.

Solution

  • Developed an automated test using Selenium and C# over-night, since we had no automation developers/testers in the team.
  • We have identified all the incorrect assignments within 30 minutes and fixed them within contractual time window.
  • The management was super happy and greatly appreciated the swift RCA and immediate over-night HotFix when nobody expected this swift automation solution.

Technologies
Selenium C#
2018
Data Snapshot Utility

Problem Statement

  • Troubleshooting time-sensitive critical production issues requires the entire set of data from related tables needs to be copied to lower environment. Backup and restore database is not suitable because of the size of the database which takes more than two hours.

Solution

  • Designed a data export and import utility to copy, specific data from production database.
  • Only required set of data will be exported as a list of CSV file packed into zip file from Prod.
  • Then we import the zip file into lower Troubleshooting environment using BulkCopy.
  • This solution is life-saver utility to troubleshoot and fix time-sensitive critical production issues.

Technologies
SQL BulkCopy C#

awards

Professional awards I've received for excellent product delivery.

Nov 2016
ACE Award
For Best performer of the team and delivering Innovative solutions.
May 2018
Outstanding Efforts Award
For Excellent Product delivery ahead of the scheduled timeline.
Jan 2019
STAR Award
For Excellent performer and team player of the unit.
Aug 2022
Spot Awards
For On-time product Delivery, Mentoring and Collaboration.

Testimonials

LinkedIn recommendations received from peers and Managers of the reputed organizations.

Vignesh Raja is among the best software developers I've ever worked with. I had the pleasure of working with him at American Airlines, both as a manager and as a peer, and have now known him for many years. He is professional and an excellent team player. He loves to work in software, is highly motivated and proactively presents solutions to problems. He is intelligent, reliable, and would be a huge asset to any team or project. Vignesh earns my highest recommendation.
Jeff Boghosian
Sr Developer at American Airlines

Thank you again for your consideration for the role!