Hasan Alam

Data Scientist

https://talent.gravityer.com/hasan-alam

Researcher at German Research Center for Artificial Intelligence (DFKI GmbH)

DFKI

Key Strengths

Extensive experience with Python for various data science and machine learning projects.
Demonstrated involvement in research-oriented projects, including accepted papers (ECIR 2025).
Experience with advanced concepts like Concept Bottleneck Models (CBM), Multi-Agent RAG, Federated Learning, and Active Learning.
Familiarity with Docker for containerization, indicating good deployment practices.
Current role as a Data Scientist at DFKI suggests relevant industry experience.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong focus on research and development in AI/ML, particularly in areas like interpretable AI and federated learning. This aligns well with roles requiring innovation and problem-solving. However, the projects are predominantly personal, and the experience section is very brief, making it difficult to fully assess cultural fit beyond technical alignment. The diversity of projects, while technically focused, indicates a breadth of interest within the data science domain.

Soft Skills & Operational Fit

The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions are brief, and there are no interview notes or peer feedback.

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Projects

MMEE

August 22, 2025 – November 20, 2025

Multi Modal Event Extraction

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Federated-Active-Learning

May 16, 2025 – August 7, 2025

Federated-Active-Learning — GitHub repository

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dr-joint-learning

April 4, 2025 – May 7, 2025

This is the Official Repository for DRG-Net

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enhanced-interpretable-report-generation-demo

January 2, 2025 – August 22, 2025

Official Repository of 'CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models'

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IRR-with-CBM-RAG

December 18, 2024 – April 29, 2025

This is the official repository for the paper titled "Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG" accepted in the 47th European Conference for Information Retrieval (ECIR) 2025

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interactive-fl-poc

April 1, 2024 – January 6, 2025

interactive-fl-poc — GitHub repository

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EdgeAL

March 1, 2023 – September 26, 2023

EdgeAL — GitHub repository

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dr-joint-learning

June 7, 2022 – May 6, 2025

dr-joint-learning — GitHub repository

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Project-Hira-Moni-PHM

June 16, 2020 – November 4, 2022

It is an open source project to track violence against women in sub-urban level.

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meeting_manager

April 18, 2017 – April 19, 2017

Meeting management software

View Project

Key Strengths

Extensive experience with Python for various data science and machine learning projects.
Demonstrated involvement in research-oriented projects, including accepted papers (ECIR 2025).
Experience with advanced concepts like Concept Bottleneck Models (CBM), Multi-Agent RAG, Federated Learning, and Active Learning.
Familiarity with Docker for containerization, indicating good deployment practices.
Current role as a Data Scientist at DFKI suggests relevant industry experience.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions are brief, and there are no interview notes or peer feedback.

Hasan Alam

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit