About

Key Highlights

  • Research Experience - 5+ years AI research
  • International Experience - Worked with companies in Canada, Japan, and Australia
  • Full-Stack AI Developer - 3+ years industry experience in ML/DL applications

Hello! I'm Milad, a passionate Master's student in Computer Science with a specialization in Artificial Intelligence at Azad University. My academic journey is driven by a profound fascination with how intelligent systems can transform our world.

As a scientist, I’m broadly interested in all aspects of machine learning, and particularly in probabilistic modeling, deep learning, robust and scalable data-driven systems, and applications to life and engineering sciences.

My current research focuses on efficient fine-tuning for language and vision models, with a broader aim of developing emotionally intelligent and context-aware AI systems. I explore reinforcement learning approaches for empathic language generation and adaptive architectures that enable models to understand emotional and situational context. This work bridges affective computing and deep learning to make large models more responsive, human-aligned, and efficient across diverse applications.

Looking ahead, I aspire to pursue a Ph.D. in AI research, focusing on designing more robust and accurate AI models. This involves delving into novel architectural designs, advanced optimization techniques, and innovative data-centric approaches to ensure AI systems are not only powerful but also practical and deployable across diverse computational environments. My goal is to contribute to the foundational understanding and development of AI that can generalize effectively and operate efficiently on resource-constrained platforms.

Outside of my studies, I enjoy contributing to open-source AI projects, working out, and watching movies.

Resume

Education

  1. M.Sc. in Artificial Intelligence and Robotics

    2023 — Present

    Islamic Azad University, Tehran, Iran. GPA: 4.0/4.0. Specializing in EEG signal processing, brain-computer interfaces, and deep learning applications in medical AI.

  2. B.Sc. in Electrical Engineering

    2018 — 2023

    K. N. Toosi University of Technology, Tehran, Iran. Focused on signal processing, machine learning, and computer vision applications.

Experience

  1. Computer Vision Specialist

    Nov 2023 — Feb 2024

    ATHLX, Canada. Specialized in analyzing human body movements using computer vision. Developed ML models for motion pattern interpretation and implemented Swift integration for mobile applications.

  2. Data Scientist - Computer Vision

    Aug 2022 — Nov 2023

    RUTILEA, Japan. Developed advanced generative models for images and text. Worked on AI-driven projects including compressor control systems and robotic solutions for object transfer using visual inputs.

  3. Data Scientist

    Aug 2021 — Jul 2022

    KeyLead Health, Australia. Developed AI systems for processing biological signals (EEG). Worked on audio data analysis for chronic heart failure detection and predictive analytics on pharmaceutical data.

My skills

  • Python & Deep Learning
    95%
  • EEG Signal Processing
    90%
  • Computer Vision
    88%
  • Medical AI
    85%
  • Cloud Platforms (AWS/GCP/Azure)
    82%
  • Natural Language Processing
    80%

Publications & Research

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