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CS PhD @NYU || CV Researcher @mbzuai || DL Researcher @OsakaUniversity || Ex-SWE Intern @Siemens EDA || Math & Computer Engineering Graduate @AUC
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New York University
Data Scientist
June 22, 2026 – Present
TopoDynCT
June 5, 2026 – Present
TopoDynCT, a raw-projection-to-structure framework for dynamic tablet CT. TopoDynCT performs archive-safe inspec- tion, projection manifesting, calibration diagnostics, temporal binning, GPU reconstruction, grayscale segmentation, connected- fluid topology analysis, distance-to-fluid accessibility estimation, and robustness analysis
View ProjectEnrollment-Audit-Automation
May 18, 2026 – Present
This project automates the Enrollment Audit workflow
View ProjectForeign-Whisper
May 3, 2026 – Present
An open-source video dubbing pipeline from YouTube URL to dubbed output using Whisper, argostranslate, and Chatterbox TTS
View ProjectCephRes-MHNet
October 29, 2025 – October 29, 2025
The official code for CephRes-MHNet , a deep learning framework for automated cephalometric landmark detection in 2D lateral skull X-rays [ISBI 2026].
View ProjectAUC-Dorms-Fantasy
October 25, 2025 – October 25, 2025
AUC-Dorms-Fantasy — GitHub repository
View ProjectEMedNeXt-BraTS-SSA-2025
August 30, 2025 – August 30, 2025
This repository contains the official source code for EMedNeXt: An Enhanced Brain Tumor Segmentation Framework for Sub-Saharan Africa using MedNeXt V2 with Deep Supervision [BraTS SSA 2025, MICCAI 2025].
View ProjectBraTS2025_BioMedIAMBZ
July 22, 2025 – July 22, 2025
BraTS2025_BioMedIAMBZ — GitHub repository
View ProjectPipelined-RISC-V-Processor
November 2, 2023 – December 11, 2023
A fully pipelined risc-v processor implemented in verilog and tested on an FPGA board
View ProjectAtlasPharaohs
May 31, 2020 – June 1, 2020
This is a mobile app project for NASA Space Apps COVID-19 Challenge
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards academic and research-oriented data science and machine learning, particularly in medical imaging. This indicates a strong fit for roles requiring deep technical expertise and a research mindset. The diversity of technologies used across projects (Python, Verilog, Dart, JavaScript) shows a broad technical curiosity, but the core focus remains within data science. The current role at New York University as a Data Scientist further reinforces this alignment. However, the projects are all personal, which might suggest less experience in collaborative, production-oriented team environments, potentially impacting cultural fit in a fast-paced industry setting without further validation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong drive for independent research and development. The focus on complex, multi-faceted projects suggests good problem-solving skills and a proactive approach. However, without psychometric or English test scores, it's difficult to assess communication, teamwork, or stress handling directly. The project descriptions themselves are concise and technically focused.