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Amazon Inc.
Data Scientist
June 20, 2026 – Present
web-fetch-mcp
June 14, 2026 – Present
Resilient web-fetch MCP server for LLM agents that fails honestly — raises instead of returning a CAPTCHA or login page.
View Projectdraw
September 5, 2023 – Present
Multi-Site DICOM AutoSegmentation with Parallel NNUNet models
View ProjectCropDiseasePredictionApp
October 22, 2022 – Present
End-to-end crop disease detection from leaf images using deep learning. Deployed on Hugging Face Spaces.
View ProjectAggDetectApp
January 19, 2022 – November 3, 2024
A web application that detects aggression and misogyny in text using BERT augmentation, sentiment analysis, XGBoost, TF-IDF vectorization, LIME explainability. [Paper accepted at ICON 2021]
View Projectsci-cpy
September 25, 2021 – October 31, 2023
Scientific Computation Methods in C and Python (Open for Hacktoberfest)
View ProjectAggDetect
September 1, 2021 – June 17, 2023
Code for Aggression and Misogyny Detection using BERT augmentation (Accepted at ICON 2021)
View ProjectDSA_JU_ECE
March 7, 2021 – May 20, 2021
Code for Data Structures and Algorithms. Class by ASC, JU ETCE
View ProjectNumerical_Methods
November 20, 2019 – January 28, 2021
Implementations of Numerical computation routines.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, many of which are research-oriented and publicly available. This suggests a passion for learning and contributing to the open-source community. The projects align well with a Data Scientist role, demonstrating initiative and a problem-solving mindset. However, the lack of team-based projects or explicit collaboration experiences makes it difficult to fully assess cultural fit in a collaborative corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual, capable of taking projects from conception to deployment. The acceptance of a paper at ICON 2021 suggests strong research and presentation skills. However, without specific assessment data on communication, logical reasoning, or teamwork, a comprehensive evaluation of soft skills and operational fit is limited.