About Me
I am a Machine Learning Engineer and Ph.D. candidate in Artificial Intelligence at the University of Tehran, specializing in Agentic AI, LLMs, and multimodal learning. Currently, I work as a Machine Learning Researcher at the Pacific Parkinson Research Centre at UBC Hospital, where I design and productionize end-to-end ML pipelines integrating video, audio, and clinical data for neurological assessment. My research focuses on leveraging weak supervision, temporal modeling, and explainable AI to bridge the gap between research prototypes and deployment-ready systems. I am passionate about building scalable ML systems that make a real-world impact in healthcare and cognitive science.

Work Experience

Machine Learning Researcher
  • Designed and productionized end-to-end ML pipelines integrating multimodal data (video, audio, metadata) with weakly supervised labels
  • Developed agent-based reporting architectures for explainable AI and automated decision workflows
  • Built real-time inference services integrated into clinician-facing applications
  • Led and mentored a cross-functional team of 7+ researchers and engineers

Pars Cognition

2014 - 2023
Lead Full Stack Developer
  • Led design and development of large-scale production software systems serving 4,000+ active users
  • Integrated ML-driven analytics pipelines (time-series modeling, voice features, behavioral metrics)
  • Built scalable backend systems supporting real-time data ingestion and ML inference

Mersateb Co.

2014 - 2023
Full Stack and Android Developer
  • Developed three Android applications for medical device interfaces using Java and Android Studio
  • Built full-stack solutions in C#, ASP.NET, and Java for real-time patient monitoring
  • Collaborated closely with psychologists and clinicians to validate algorithms and labeling workflows, ensuring clinical reliability and regulatory alignment
  • Integrated ISO 62304 software lifecycle processes into medical software systems

Education

University of Tehran

2020 - July 2026
Ph.D. in Artificial Intelligence and Robotics
Thesis: Parkinson's Disease Detection Using Facial and Vocal Features
GPA: 4.0

The University of British Columbia

Nov 2023 - Jul 2024
Visiting Research Student in Machine Learning
Research focus on multimodal learning and clinical AI applications

University of Tehran

2015 - 2018
MSc in Artificial Intelligence and Robotics
Thesis: A Serious Intelligent Game for Rehabilitation and Assessment of Emotional Skills in Children Suffering from Autism Spectrum Disorder

University of Tehran

2011 - 2015
BSc in Computer Engineering
Major: Software
© 2025 Atefeh Irani