cv
For up to date information please refer to the PDF file (by clicking on the PDF icon)
Basics
| Name | Nima Fathi |
| Label | Machine Learning Researcher and AGI Advocate |
| nima0fathi@gmail.com | |
| Url | https://github.com/NimaFathi |
| Summary | Ex MSc student in Electrical and Computer Engineering at McGill University. Graduate researcher at Mila - Quebec AI Institute, with expertise in AI, counterfactual image synthesis, diffusion models, and generative models. |
Work
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2024.07 - 2025.04 Visiting Researcher
ServiceNow
Fine-tuning large language models using Discrete Diffusion models.
- Developed and implemented innovative models in diffusion
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2021.01 - 2021.07 Software Engineer
Cafe Bazaar Inc. - Divar
Full stack developer for the chat team, responsible for online chat and call services.
- Developed AI models for detecting harassment and scams.
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2020.08 - 2020.12 Machine Learning Engineer
Yektanet Inc.
Started as a data scientist in the Data team and was quickly promoted to a machine learning engineer for the Infrastructure team.
- (@ Data team) Built content-based recommenders for ads and personalization.
- (@ Data team) Designed a geolocation system, increasing CTR by 6.1%.
- (@ Infrastructure team) Developed a real-time data pipeline for ad serving, improving latency by 30%.
- (@ Infrastructure team) Implemented a distributed system for large-scale data processing, enhancing scalability.
- (@ Infrastructure team) Owned and maintained backend and database services for internal tooling.
Education
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2022.09 - 2025.09 Montreal, Canada
M.Sc.
MILA - Quebec AI Institute and McGill University
Electrical and Computer Engineering
- Multi-agent systems for counterfactual generation and visual explainability. (submitted work @ iccv workshops
- Diffusion and GAN-based approaches for counterfactual image synthesis. (ORAL@ MIDL`24 and short-listed for Best Paper Award)
- Bias mitigation for improving robustness and generalization in medical imaging. (Published work @ MICAAI)
- Longitudinal generative modeling and trajectory forecasting for irregularly sampled time series.
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2017.09 - 2021.12 Tehran, Iran
B.Sc.
Sharif University of Technology
Computer Engineering
- Co-authored one of the earliest works applying Vision Transformers to medical imaging, establishing a benchmark for subsequent research.
Publications
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2025 Unifying Autoregressive And Diffusion-Based Sequence Generation
ICLR’25 - DelTa
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2024 DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations
MIDL’24 ORAL
Shortlisted for Best Paper Award [Top 3.6%]
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2023 Debiasing Counterfactuals In the Presence of Spurious Correlations
FAIMI - MICCAI’23
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2021 Towards human pose prediction using the encoder-decoder lstm
ICCV Workshops’21
Skills
| Programming Languages | |
| Python | |
| GO | |
| Elixir | |
| C/C++ | |
| Java | |
| R | |
| Matlab |
| Frameworks | |
| JAX | |
| PyTorch | |
| TensorFlow | |
| OpenCV2 | |
| Hugging Face Transformers | |
| Diffusers | |
| PEFT | |
| Accelerate |
| Data & Parallelism | |
| DeepSpeed | |
| Megatron-LM | |
| PostgreSQL | |
| MongoDB |
| AgenticAI | |
| LangChain | |
| LlamaIndex | |
| smolagents | |
| Haystack | |
| RAG | |
| VectorDB |
| Web Development | |
| Django | |
| Flask | |
| React Native |
Languages
| English | |
| Fluent |
| Persian | |
| Native |
| French | |
| Intermediate |
Interests
| Gen AI | |
| Medical Imaging | |
| Generative Adversarial Networks | |
| Diffusion Models | |
| Counterfactual Image Synthesis |
| Large Language Models | |
| Discrete Diffusion Models | |
| Fine-tuning | |
| Natural Language Processing |