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Sharif University Of Technology
Data Scientist
June 30, 2026 – Present
Persian-VLM
March 8, 2025 – March 9, 2025
Persian-VLM: CLIP & Image Captioning for Persian | Implemented Persian CLIP with ParsBERT & contrastive learning + an RNN-based Persian image captioning model. Supports zero-shot object detection, cross-modal retrieval, and more. 🚀
View Projectshafieiali42.github.io
January 29, 2025 – Present
shafieiali42.github.io — GitHub repository
View ProjectDigikala-Product-Classification
November 11, 2024 – March 5, 2025
A project to automate product categorization for Digikala items into hierarchical categories using ParsBERT for text encoding and a classification model.
View ProjectPromptAD-Robustness
September 14, 2024 – March 9, 2025
Evaluation of PromptAD’s robustness under various image corruptions for few-shot anomaly detection.
View ProjectFreeRAD
July 6, 2023 – July 21, 2023
A PyTorch implementation of Robustness for Free: Adversarially Robust Anomaly Detection Through Diffusion Model
View ProjectQuestion-answering
June 28, 2023 – June 28, 2023
Developed a transformer-based extractive question answering model using BERT on the SubjQA dataset.
View ProjectDocument-and-Token-Classification
June 20, 2023 – September 24, 2023
NLP course, EE Dept. Sharif University of Technology
View ProjectForeign-word-detector
March 26, 2023 – October 20, 2024
NLP course, EE Dept. Sharif University of Technology
View ProjectFootball-analysis
August 13, 2022 – August 29, 2022
Developed a regression model to predict football players’ market value using web scraped data.
View ProjectCultural Fit Analysis
The candidate's projects show a strong interest in advanced machine learning and deep learning topics, which aligns with an innovative and research-oriented culture. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or broader cultural fit. The target role is 'Data Scientist', and the projects are highly relevant to this field, indicating a strong technical alignment. The experience level of 0 and a future-dated role suggest this candidate might be very early in their career, which could impact immediate cultural integration in a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience level is listed as 0, and the only listed 'experience' is a future-dated full-time role as a Data Scientist at Sharif University Of Technology, which appears to be a placeholder or future engagement. No psychometric or English test scores are available.