Working Experience

RBC Borealis AI

ML Research Intern

• Conducting research on advancing pretraining methods for tabular foundation models.

Sep. 2026 – Dec. 2026

Supervisors: Martin Lohmann and Arash Khoeini

The University of British Columbia & Vector Institute

Research Assistant

• Developing novel multimodal learning and reinforcement learning methods to improve prostate cancer detection using ultrasound images.

Sep. 2025 – Present

Supervisors: Prof. Purang Abolmaesumi & Prof. Parvin Mousavi

Teaching Assistant

• Served as a Teaching Assistant for multiple courses, delivering mini-lectures, leading lab sessions, mentoring project teams, and grading.

Sep. 2025 – Present

Saarland University

Research Assistant

• Designing contrastive learning-based methods to enhance semantic gesture understanding and representation from video, resulting in a NeurIPS 2026 publication (co-first author).

June 2025 – Sep. 2025

Supervisor: Prof. Vera Demberg

Qatar Computing Research Institute (QCRI)

Remote Research Assistant

• Authored surveys on multimodal RAG and generative AI for animated characters, highlighting gaps and future directions.
• Advancing Arabic vision-language models beyond state-of-the-art and introducing a benchmark for practical VLM evaluation.

July 2024 – Sep. 2025

Supervisor: Dr. Ehsaneddin Asgari

Imperial College London

Remote Research Assistant (Voluntary, Unpaid)

• Design an LLM-based Persian therapist Agent incorporating the Self-Attachment Technique (SAT), achieving superior performance over baseline LLMs.

Sep. 2024 – Sep. 2025

Supervisor: Prof. Abbas Edalat

University of New South Wales

Remote Research Assistant (Voluntary, Unpaid, Summer Internship)

• Design an RL-based model to automate and enhance medical report generation for Fundus Fluorescein Angiography images.

June 2023 – Sep. 2023

Supervisor: Dr. Imran Razzak

Yektanet Technology Company

Software Engineer

• Spearheaded the implementation of numerous features in a large-scale service.
• Provided mentorship to several new software engineers, fostering their professional growth.
• Undertook Site Reliability Engineering (SRE) tasks, including server maintenance, to ensure optimal site performance.
• Designed and implemented a comprehensive Applicant Tracking System (ATS) from scratch personalized for the company.
• Devised innovative methods for storing extensive data to enhance system efficiency.
• Collaborated with various databases and architectures, including Redis master-slave, to efficiently handle a high volume of requests per second.

Oct. 2020 – Oct. 2021

Sharif University of Technology

Research Assistant (Voluntary, Unpaid)

• Design a novel multimodal contrastive learning-based semantic speech encoder that outperforms ASR-based retrieval pipelines in speed, accuracy (many scenarios), and efficiency.

Jan. 2023 – Feb. 2024

Supervisor: Dr. Ehsaneddin Asgari