Work Experience
ConserveIT
Software Developer
February 2025 – Current
Support Conserve It’s development plans for Niagara Applications (including PlantPRO and related technologies).
Applied programming knowledge in Java, JavaScript, HTML, and CSS to develop simple front-end and back-end components.
Troubleshoot and fix bugs in existing modules to improve performance and reliability.
Participate in project planning, development meetings, and sprint reviews and contribute to project management and issue-tracking tools for documentation and progress tracking.
Perform other software development or support tasks as directed by the Team Lead.
Use and contribute to project management and issue-tracking tools for documentation and progress tracking.
Scoped and planned a project to digitise and automate manual data collection at the Darnum site, designing a reporting tool or front-end interface to protect data integrity.
Undertook Power BI and Power Apps training and applied knowledge to develop reporting interfaces.
Improved the React frontend for the Farm Environment Plan with new software features like version control and
user authentication using Microsoft Authentication Library.
Developed the backend in Node and AzureSQL database to hold PDF report data of each farm such as farm details.
Integrated with Google Maps API to display the farm map and Salesforce database to get farm data.
Performed user testing in two phases to gain user feedback and train them to use the software.
Employed Azure DevOps for efficient code management, version control, and CI/CD processes.
Reduced time to generate PDF reports from 8 hours to 2 hours by eliminating data entry in Excel and PowerPoint.
Developed a React.js website for the Farm Environment Plan which involves rendering PDF and visualizations based on user input.
Maniputed and cleaned data for CSV files containing Nitrogen and Carbon emissions data using Python and R.
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Involved visualising data related to wholesale energy prices all over Australia
Manipulated and cleaned data using Python for exploratory analysis
Developed a dashboard using Dash library in Python to gain valuable insights
Monash Motorsport
Autonomous Systems Recruit
March 2021 – Current
Developed a software to estimate the state of the vehicle (given landmark and vehicle data) while also coming up with a design to house the computing unit as a part of junior project
Currently working on developing documents for AUSCOMP 2021 and understanding ML algorithms such as PointPillars used in Perception
Developed a MATLAB GUI Interface for the RCDS machine learning algorithm
Designed the UI/UX of the GUI in collaboration with Accelerator operators
Learned how particle accelerators to understand the RCDS algorithm developed by Stanford Linear Accelerator Centre
GitHub Link
Implemented market analysis of the US market for LoopLearn, an Australian startup specializing in automated attendancekeeping solutions for schools
Researched general overview of market attractiveness relevant to the product and top five competitors in the US
Identified legal and regulatory barriers and considerations for expanding an international startup in the US market
Identified interesting startups and technological innovations relevant to the product
Plated patients’ meals and transported them to wards with accuracy in a fast-paced environment
Ensured the food is safe for patients based on Food Safety Laws and Regulations of Australia