Summary
Overview
Work History
Education
Skills
Selected Publications
Languages
Certification
Accomplishments
Websites
Timeline
Generic
Pajani MARDAMOOTOO

Pajani MARDAMOOTOO

Victoria,VIC

Summary

I am a researcher and engineer driven by the challenge of humanizing complex technology. My approach combines the technical discipline of a Mechatronics background with a creative curiosity for how people move and interact in virtual spaces. Whether I am optimizing a deep learning pipeline to feel 'real-time' or collaborating with dancers to refine virtual embodiment, I thrive on bridging the gap between raw data and meaningful human experience. I enjoy the dual role of being both a deep-dive developer and a clear communicator who can translate high-level AI concepts for students and stakeholders alike.

Overview

5
5
years of professional experience
1
1
Certification

Work History

Casual Teacher

Swinburne College
07.2023 - Current
  • Facilitated technical lab sessions and lectures for engineering and computer science units.
  • Instructed on scalable architectures and cloud deployment in Cloud Computing (AWS).
  • Taught Object-Oriented Programming (Java) and High-Performance Systems (C++) in Software Engineering.
  • Covered Fundamentals of Networking and Web Programming in Systems & Infrastructure.

PhD Researcher

Swinburne University of Technology
Notting Hill, Australia
01.2023 - Current
  • Developed real-time system for whole-body interaction in virtual environments.
  • Utilized single RGB camera for markerless Human Mesh Reconstruction, creating 3D digital silhouette.
  • Programmatically segmented live mesh into specific body parts using Unity engine.
  • Tracked dynamic properties of segments, including Volume, Center of Mass, Momentum, and Resultant Force.
  • Implemented physics-based interaction model for Volumetric Embodiment mapping movement to virtual objects.
  • Reduced reconstruction latency in 4D-Humans pipeline from 2.5 seconds to 23ms by integrating YOLOv8 detector with NVIDIA TensorRT.
  • Investigated Bi-Mamba architectures as an alternative to Transformers for direct processing of 3D mesh vertices.
  • Conducted workshops with professional dancers to assess impact of 3D shape deformation on user presence in VR.

Graduate Research Projects

Swinburne University
01.2021 - 01.2022
  • Researched object detection methods, including YOLOR and Faster R-CNN, achieving 94% mAP50 with Azure ML Studio for AI-assisted labeling.
  • Developed sentiment detection system using RoBERTa Transformer architecture, deploying via ONNX and FastAPI on AWS.
  • Architected AWS-based application for automated media encoding utilizing Lambda, DynamoDB, and S3 services.
  • Constructed predictive model with Artificial Neural Networks and Logistic Regression, reaching 89% accuracy rate.

Education

PhD Candidate - Machine Learning Impact

Swinburne University
Hawthorn, VIC
11-2026

Master of Data Science -

Swinburne University of Technology
Melbourne, Victoria, VIC
03-2022

Bachelor of Mechatronics Engineering (Honours) - Engineering

Monash University
Clayton, VIC
07-2014

Skills

  • AI/ML models: Bi-Mamba, Mesh-VQ-VAE, Spatial-temporal mesh transformers, PPO reinforcement learning, CNNs, BERT/RoBERTa
  • 3D vision: Human mesh reconstruction (SMPL/SMPL-X)
  • PyTorch3D and Trimesh
  • Software development: Unity (C#), Python (PyTorch Lightning), C, Java, ONNX, TensorRT, OpenCV
  • Capture hardware: Meta Quest 3, Azure Kinect (RGBD), OptiTrack, Markerless RGB systems, IMU sensors
  • Cloud platforms: AWS (SageMaker), Azure (ML Studio), GCP (AI Studio)

Selected Publications

  • Mardamootoo, P., et al., Moving Through Volume., 13th International Conference on Movement and Computing (MOCO’26), 04/01/26
  • Mardamootoo, P., et al., Exploring Volumetric Interaction in Virtual Reality: A Pilot Study., 9th International Conference on Artificial Intelligence and Virtual Reality (AIVR), 07/01/25

Languages

English
Proficient (C2)
C2
French
Proficient (C2)
C2

Certification

AWS Cloud Practitioner

Accomplishments

Swinburne STEM Scholarship (2020)

Websites

Timeline

Casual Teacher

Swinburne College
07.2023 - Current

PhD Researcher

Swinburne University of Technology
01.2023 - Current

Graduate Research Projects

Swinburne University
01.2021 - 01.2022

PhD Candidate - Machine Learning Impact

Swinburne University

Master of Data Science -

Swinburne University of Technology

Bachelor of Mechatronics Engineering (Honours) - Engineering

Monash University
Pajani MARDAMOOTOO