Machine Learning Software Engineering

Soroosh Safari Loaliyan

*** * ****** **., *********, CA, 92507

********@***.***, 857-***-****

Education

• Ph.D., Computer Science

University of California, Riverside, 2021-Current

• BSc, Software Engineering

Amirkabir University of Technology, 2019

• Relevant coursework: Advanced Algorithms, GPU Architecture, Machine Learning, Advanced Com- piler Design, Advanced Data Mining, Parallel Algorithms, High-Performance Computing. Professional Experience

• Mobile Application Designer and Developer

RamBody, Vancouver, CA, 2018-2019

– Built a new mobile application by using react-native Typescript.

– Applied AirBnb JavaScript coding standard to ensure robust application security and clean code. Research Experience and Publications

• FedDAPL: Toward Client-Private Generalization in Federated Learning, SIPAIM (Under Re- view), 2026

Introducing Federated Domain Adversarial Neural Network, a simple yet effective way of Domain Generalization in federated settings that outperforms most of the federated domain generalization tech- niques.

• cuJSON: A Highly Parallel JSON Parser for GPUs, ASPLOS, 2026. Git Introduces the first parallel GPU-based JSON parser, the fastest GPU-based JSON parser that works more than 2x faster than any CPU-based JSON parser.

• Comparative Analysis of Generalization and Harmonization Methods for 3D Brain fMRI Im- ages: A Case Study on OpenBHB Dataset, CVPR Proceeding, 2024 Git Compared different generalization techniques’ performance on both harmonized and non-harmonized fMRI brain image scans. The results show the effectiveness of known DG and the impact of harmo- nization techniques on these techniques.

Skills and Qualifications

• Programming Languages: Python, C/C++, CUDA, Java, JavaScript, Typescript, SQL

• Frameworks and Tools: PyTorch, TensorFlow, Pandas, Numpy, Numba, Anaconda, React, React- Native

• Deep Learning: Neural Network Programming, Efficient Model Training

• Software Development: Multi-thread Programming, Distributed Programming, GPU Programming, Cross-Platform Development

• Soft Skills: Image Processing, Design Patterns, UML, .Net Framework, Teamwork, Time Manage- ment, Critical Thinking, Problem Solving, Agile Methodologies. 1

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