Rushi Babaria
Sydney,NSW
Summary
Results-driven MPhil student at UNSW Sydney with a strong foundation in Computer Science and Physics. I have extensive experience in machine learning applications, particularly in network traffic classification, anomaly detection, and real-time data analysis. My work spans multiple research internships and roles, where I have developed scalable, high-performance solutions for commercial and research purposes. I bring expertise in machine learning, data analysis, and cloud technologies, with a proven track record of publishing research in leading conferences such as IEEE and ACPR. I am passionate about applying cutting-edge technologies to solve practical problems in computer science.
Overview
6
6
years of professional experience
Work History
SDE-1
AppDynamics, Cisco
07.2021 - 12.2023
- Worked as a part of Anomaly detection team, to build and maintain machine learning based Application monitoring Solutions, and deploying them
- Enhanced end-user satisfaction with rigorous performance testing under various load conditions for optimal responsiveness and stability.
- Improved software quality by designing and implementing comprehensive test plans and test cases.
- Maintained up-to-date knowledge of industry trends, tools, and techniques to ensure continued excellence in SDET practices.
MACHINE LEARNING INTERN
UNSW Sydney
01.2021 - 07.2021
- Worked on Network traffic classification, analyzing and classifying huge amounts of real life data packet patterns
- Developed a highly efficient(real time) and accurate traffic classifier, and tested it with real life network activity
- Undertook a comprehensive ablation study to ensure the robustness of the work done, which was presented as paper published in IEEE (MSN) 2021 conference
RESEARCH INTERN
Nanyang Technological University (NTU)
06.2020 - 12.2020
- Worked at the speech lab, NTU, on creating and improving methods for question-answering FAQ chatbots
- Designed and Deployed a robust, highly adaptive and general purpose chat bot
- Part of this work is consolidated as a python package
- Worked on Speech data Augmentation by generating speech from text in various accents
INTERN
Samsung RnD
05.2020 - 07.2020
- This research internship, at the Advanced research lab, Samsung RnD, was aimed at efficient multi-object-tracking for mobile phones
- I worked on developing, training and evaluating a light-weight and deployable model
- Integrated the model in a live streaming Website, made using flask and React
- The model designed achieved near state of the art scores with 80% reduction in model size
RESEARCH INTERN
Hiroshima University
06.2019 - 08.2019
- Worked on improving state of the art on video captioning, the resulting research was published as a paper at ACPR 2019 conference
- Studied and implemented state of the art techniques from computer vision and natural language processing
- Developed a novel approach to train deep video captioning models, and provided rigorous experimental study to prove its effectiveness
INTERN
National Centre For Antarctic And Ocean Research
05.2018 - 07.2018
- Internship was aimed at making a functional weather-data website and to pre-process weather data for further use.
- As part of the internship I processed and analysed weather data from Antarctica's data collection centers
- Created back-end services for the weather-data website
- Analysed correlation between weather conditions, which were used to predict storms and other hazards, and finally used neural networks to make time-series predictions for weather data
Education
M.Phil - Electronics And Telecommunications Engineering
University of New South Wales
Sydney, NSW08-2025
Skills
- Python and C
- Neural Networks
- PyTorch Framework
- Reinforcement Learning
- Object-Oriented Programming
- Software Development
- Web application development
- API Integration
- Back-end frameworks
- Machine Learning
Projects
- Contour Detection using fully Convolution Networks, Course Project, Neural Networks and Fuzzy Logic, Implemented a fully convolutional network for Contour detection in pytorch, and tested it on real life images.
- Vehicle Detection using Computer Vision, Course Project, CEERI Pilani, This project was aimed to increase efficiency, of vehicle detection while maintaining similar accuracy scores.
- Fake news detection, chatbot, Hackathon Project, Yellow Messenger's Game of Bots, Developed a deep learning based Fake news detection chat bot.
- Implementing IBM 1 and 2 translation Models, Course Project, Information Retrieval, Implemented a Cross Lingual Document Translator model, using Expectation maximization algorithm.
- Compiler design, Course Project, Compiler Construction, Designed a C language-based Compiler according to custom language specifications in phases. NER, Speaker Recognition and Summarizing text.
Positions Of Responsibility
- Hostel Representative, Student Council, BITS Pilani, Managed the complaints and represented over 200 students at the Union council Bits Pilani for a year.
- Coordinator, Mime Club, BITS Pilani, Lead a team of 30 students, creating an hour of stage performances and short films.
Timeline
SDE-1
AppDynamics, Cisco
07.2021 - 12.2023
MACHINE LEARNING INTERN
UNSW Sydney
01.2021 - 07.2021
RESEARCH INTERN
Nanyang Technological University (NTU)
06.2020 - 12.2020
INTERN
Samsung RnD
05.2020 - 07.2020
RESEARCH INTERN
Hiroshima University
06.2019 - 08.2019
INTERN
National Centre For Antarctic And Ocean Research
05.2018 - 07.2018
M.Phil - Electronics And Telecommunications Engineering
University of New South Wales
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