
Quantum random number generator
Quantum random number generator is a way in which a stream of random bits is generated using a methods based on the laws of quantum physics.
Read MoreI am a final year student at The University of Queensland in Brisbane, Australia. Pursuing Bachelor's of computer science and a recipient to the UQ INTERNATIONAL HIGH ACHIEVERS Scholarship (2022) (2024)
I major in the field of machine learning, which focuses on , machine learning, artificial intelligence and software development. I am also passionate about quantum computation and mathematics.
I love working and building cool projects. Hoping to give my best back to the society.
I was an exchange student at UCL, where I undertook a comprehensive curriculum encompassing machine learning, game theory, and management modules.
This invaluable experience not only broadened my academic horizons but also provided practical insights at the intersection of these disciplines. Furthermore, my dedication to academic excellence was recognized through the prestigious award of the INTERNSHIPS AND GLOBAL EXPERIENCES GRANTS (2023)
Yuvo is a software company which primarily focusses on Human Resource Management System Solutions.
It was my first experience as an intern in an industrial setting. I was very excited and a little nervous at the same time. But the team at Yuvo were very welcoming and supportive, especially our Head of Engineering made sure my transition from an academic environment was as smooth as possible.
I worked mainly on creating and developing a dynamic conversational chatbot. It's main purpose is to serve as a helper to our clients and their users with frequently asked questions and a few advanced questions with the help of Artificial Intelligence.
Upon completing our project I was able to gain practical application of Natural Language Processing (NLP), and gained experience with IBM Watson and Microsoft Azure.
I also gained knowledge in the field of JSON and JavaAPI's, which serves as a vital component of in our chatbot.
During my tenure as a Summer Vacationer at PwC Sydney, I had the privilege of immersing myself in a dynamic and fast-paced professional environment. Collaborating with seasoned experts, I gained invaluable insights into real-world business challenges and innovative solutions. Engaging in impactful projects such as:
designing and implementing a robust data pipeline using PySpark, dedicated to the extraction and transformation of daily workday POC files. This pipeline efficiently handles an extensive volume of over a trillion data points uploaded worldwide.
Additionally, I leveraged PowerShell scripting to strategically retrieve critical information from diverse sections of the organization on a global scale.
Moreover, I played a pivotal role in enhancing data sharing capabilities across different regions by configuring a cutting-edge cloud sharing client software, WinSCP.
Furthermore, I orchestrated a seamless migration of the firm's operational data from Google to Microsoft SharePoint. Simultaneously, I pioneered the creation of an Agile health radar, an invaluable tool for the agile team to monitor methodologies and practices on a global scale. As part of my commitment to data security, I spearheaded a confidential synthetic data generation project, bolstering data protection measures.
Developed and maintained the club's website, optimizing its functionality, user experience, and content to promote effective communication and engagement.
Identifying and implementing technological solutions to streamline club operations, enhance member experiences, and improve efficiency.
Core founding member, delegated and organized club events.
Presently, I am working as a Undergraduate Research Assistant in the field of Artificial Intelligence and Machine Learning at Ecological Cascades Lab.
Currently working on Indigenous species detection leveraging camera trap data using state-of-the-art computer vision models.
Worked on devising data-pipeline to sort and extract camera trap data from Wildlife Insights
I am working as a part-time Technology Consultant at Visagio.
Performing machine learning, data science, data analysis task and gathering insights for client recommendations.
Contributed to BHP's rail optimization by analyzing and building machine learning models on time series data, enhancing operational efficiency in rail systems
Designed and implemented ETL pipelines using AWS SageMaker for efficient dataprocessing and analysis. Developed and executed ETL pipelines utilizing Pentaho for streamlined data processing and analysis.
Casual Academic at Faculty of Engineering, Architecture and Information Technology.
Here's me in a page: Download Resume
Quantum random number generator is a way in which a stream of random bits is generated using a methods based on the laws of quantum physics.
Read MoreI have created multiple chatbots for various uses. Please feel free to click on the chat symbol at your bottom right corner to chat with Tony, my small talk bot.
Read MoreAcademic projects, research projects carried out as part of my course.
Credits: Thanks to Dennis Ivanov for the initial template. Developed using: HTTP / CSS / JavaScript.