Machine Learning Researcher

Data Scientist

Mohammad Amin Davoodabadi

Currently a last-year undergraduate student in Computer Engineering at Sharif University of Technology (the best university in Iran, according to QS ranking 2024), with a strong academic background and a deep interest in Reinforcement Learning and Vision-Language models, which resulted in a NeurIPS IMOL workshop paper. Experienced in both research and industry, skilled in Python, machine learning, and big data frameworks, and previously worked as a data scientist.
I am passionate about deepening my expertise in one of these fields during my Ph.D., with the ultimate goal of becoming an expert in my future academic path.

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Contact Information

Linkedin

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Publications

PreND: Enhancing Intrinsic Motivation in Reinforcement Learning through Pre-trained Network Distillation

Mohammadamin Davoodabadi, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah (First Author)

Accepted at Neurips IMOL workshop, Arxiv Link.

TLDR; PreND enhances intrinsic motivation in RL by using pre-trained representations to improve the stability and quality of intrinsic rewards, indicating promising results against traditional RND in Atari experiments.

Research Intrests

Deep Reinforcement Learning
Vision Language Models
Unsupervised Representation Learning
Sequential Decision Making

Research Experience

Integrating Intrinsic Motivation to Enhance Generalization in Goal-Conditioned Reinforcement Learning (Unpaid)
2023 – 2025

Supervisor: Dr. Soleymani Baghshah

Location: Sharif University of Technology, Tehran, Iran

I worked on improving the generalization of goal-conditioned policies in reinforcement learning by developing advanced techniques that allow models to perform effectively across diverse and unseen tasks. My research focused on integrating intrinsic motivation mechanisms to enhance exploration and learning efficiency, enabling agents to pursue novel goals and adapt to dynamic environments. Additionally, I applied representation learning methods to capture essential features of the environment, which improved decision-making and policy performance.

Important News Detection using LLMs and Advanced Tuning Techniques (Unpaid)
2023 - 2025

Supervisor: Dr. Jafari Siavoshani

Location: Sharif University of Technology, Tehran, Iran

I focused on detecting important news using large language models (LLMs) by leveraging decoder-based architectures to accurately identify and prioritize significant events. My work involved instruction tuning, where I fine-tuned models to follow specific guidelines for news detection, ensuring more precise and relevant outputs. Additionally, I employed prompt engineering techniques to optimize model inputs, enhancing the quality and reliability of the generated results.

Education

2019–2025
Sharif University of Technology, Tehran, Iran

Bachelor of Computer Engineering

GPA – 3.41/4.00

2018–2019
Young Scholar’s Club, Tehran, Iran

International Physics Olympiad Preparation

Preparing for the International Physics Olympiad (IPHO).

Voluntary Works

Sharif University of Technology, Tehran, Iran.

  • Vice President of Sharif Software Seminar Series (S4)
    As Vice President, I organized and facilitated software-related seminars, coordinating with speakers and participants to promote knowledge-sharing in the field of computer science and software engineering. I also contributed to managing event logistics and increasing seminar participation through effective outreach strategies.

Teaching Experience

(All of them were voluntary, Unpaid), Tehran, Iran

  • Machine Learning (2 Semesters)
  • Natural Language Processing (2 Semesters)
  • Convex Optimization
  • Software Engineering
  • System Analysis and Design

Honors and Awards

2019
Asian Physics Olympiad, Australia

Certificate of Appreciation 🎖

2018
National Physics Olympiad, Iran

Gold Medal 🥇

Recognized as one of the top 0.01% students, (Top 10 out of approximately 100,000 participants nationwide).

Working Experience

2021 – 2023
TAPSI, A ride-hailing company akin to UBER in Iran

Data Scientist, Artificial Intelligence Expert

Languages

English - TOEFL Score: 98
Persian - Native
German - CEFR A1

Skills

Language
  • Python
  • Java
  • C
  • C++
Machine Learning
  • MLFlow
  • PyTorch
  • Scikit Learn
Reinforcement Learning
  • Gym
  • OpenCV
Big Data
  • Pyspark
  • Pandas
  • Seaborn

Soft Skills

Active Learning
Team Worker
Problem Solving
Critical Thinking
Leadership