About

I am a Software Engineer at IAutomatia, where I have been contributing to the development of desktop applications using C#, WPF, XAML, and MVVM architecture. With nearly a year of experience, I have worked on projects such as the EFEM Automation HMI, integrating gRPC services and developing reusable UI components. My skills include C#, SQL, NumPy, Pandas, HTML, CSS, Excel, Power BI, and tools like GitHub and Visual Studio. I am looking to further enhance my expertise in software development and contribute to impactful projects in the domains of automation and data analytics.

Experience

1. Software Engineer

   IAutomatia

   10-11-2025 – Present

   Developed desktop applications using C#, WPF, XAML, Prism, and MVVM. Designed and implemented reusable UserControls and UI components. Developed View, and Models following MVVM architecture. Integrated gRPC services for communication between UI and backend systems. Worked on EFEM Automation HMI project for monitoring and managing equipment operations. Used Git/GitHub for version control and team collaboration.

2. Data Analytics Training

   Qspider

   07-04-2025 – 03-11-2025

   Intensive training in Data Analytics web development with hands-on projects. Working on developing responsive web interfaces using HTML, CSS, and Data Analytics Excel, PowerBI Numpy, Pandas. Learning backend development using Python, for building Restful APIs and practicing database management with MySQL and Oracle in real-world scenarios.

Education

1. Dhanalakshmi Srinivasan College of Engineering, Coimbatore

   B.E, Electronics and Communication Engineering

   2021 – 2025 · Grade: 7.35

2. Baratha Matha RC Higher Secondary School, Ariyaluri

   HSC

   2020 – 2021 · Grade: 85

3. Don Bosco Higher Secondary School, Ariyalur

   SSLC

   2018 – 2019 · Grade: 72

Projects

• Remote Sensing Project Using iOS App

  • iOS

  Developed a remote sensing and control system using an iOS application. The system allows real-time monitoring of sensor data and remote control of industrial equipment through a mobile interface, improving automation efficiency and accessibility.

• IoT Based Glucose Monitoring System From Photoplethysmography, Blood Pressure and Demography Data Using Machine Learning

  • IoT
  • Machine Learning

  Developed an IoT-based health monitoring system to collect real-time PPG, blood pressure, and demographic data. Integrated sensors with microcontrollers to transmit data to a cloud-based platform. Applied machine learning algorithms to analyze health trends and predict potential risks.

• Excel Power BI Dashboard Project Blinkit

  • Excel
  • Power BI

  Designed and developed an interactive dashboard to track sales trends, top-selling products, and customer insights, enabling data-driven decision-making with dynamic reports and visual analytics.

Certifications

• Introduction to Internet of Things

  NPTEL

• Introduction to machine learning

  NPTEL

Achievements

• Winner – Inter-College classical Cultural dance Competition.

  Winner – Inter-College classical Cultural dance Competition.

• Received multiple certificates for cultural and extracurricular activities.

  Received multiple certificates for cultural and extracurricular activities.