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Computer engineering student at University of Tehran
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SerialPort-Streaming
May 15, 2024 – June 2, 2024
Simple project with Rust to stream SerialPort to multiple clients
View ProjectAudio-Recognition-Keywords-Classifier
February 22, 2024 – February 26, 2024
Training a simple & small classifier that detects keywords
View ProjectAGPadBot
November 8, 2023 – December 21, 2023
A simple bot let user to add advertisement and show stats of ad's
View ProjectSinglePongGame
May 13, 2023 – May 27, 2023
Single player pong game for Android that player should control the line with sensor of phone.
View Projectbaloot
February 24, 2023 – July 3, 2023
Baloot - University of Tehran Internet Engineering Course Project
View ProjectPersianOCRTelegramBot
August 3, 2022 – August 3, 2022
A simple telegram bot for persian OCR service using Tesseract
View ProjectAI-Spring2022-CA5-P2-TensorFlow-Keras
June 16, 2022 – July 11, 2022
Computer Assignment #5 - Phase #2 - [TensorFlow & Keras] - Artificial Intelligence Course - University of Tehran - Dr. Yaghoubzade
View ProjectAI-Spring2022-CA5-p1-Feed-Forward-NN-from-Scratch
June 16, 2022 – December 8, 2025
[Feed Forward Neural Networks] - Artificial Intelligence Course - University of Tehran - Dr. Yaghoubzade
View ProjectICSP
May 5, 2022 – May 5, 2022
Introduction to Computing Systems and Programming course projects
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, particularly in AI/ML, which aligns with the intellectual curiosity often valued in data science roles. However, the projects are primarily academic or personal, lacking details on collaborative efforts or real-world impact. The diversity of technologies (Java, Kotlin, Rust, C++, Python) indicates a willingness to learn, but the depth in any specific area for a senior role is not evident. The experience level is 0, suggesting this candidate is likely entry-level, which may not be a direct cultural fit for a senior Data Scientist role without significant upskilling.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests.