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Erdos AI Lab
Data Scientist
June 12, 2026 – Present
Blood-Cancer-Detection-using-RL-based-CNN-Models
May 6, 2026 – Present
Blood-Cancer-Detection-using-RL-based-CNN-Models — GitHub repository
View ProjectAI_Tutors_Using_Instruction_Tuned_Models
April 12, 2025 – April 12, 2025
This project builds an AI-powered Physics Tutor using the Dolly-v2-3b instruction-tuned model. It explains physics concepts in simple terms via a Gradio-based user interface. The model leverages Hugging Face's Transformers library and supports GPU acceleration for efficient inference.
View ProjectImage-Generation-with-Stable-Diffusion-v1.5
April 10, 2025 – April 10, 2025
This project uses the Stable Diffusion v1.5 model from RunwayML to generate high-quality images from descriptive text prompts. Built with the diffusers library, it supports GPU acceleration, negative prompting for refined outputs, and customizable image saving, ideal for creative exploration and concept art.
View ProjectRoboVerse-DSU.github.io
November 3, 2024 – November 3, 2024
Website Hosted of RoboVerse-DSU
View ProjectSLAM-Algorithm-Development-for-Autonomous-Vehicle-Using-ROS
September 15, 2024 – January 2, 2025
SLAM Algorithm Development for Autonomous Vehicles ( Autonomous Mobile Robots ) using ROS.
View ProjectBrowser-Bookmarks-Manager
August 13, 2024 – August 13, 2024
A Simple, Effective and Useful browser Bookmarks Manager using HTML, CSS and JavaScript
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal exploration and learning in AI/ML and robotics. The current role as 'Data Scientist' at 'Erdos AI Lab' aligns with the target role. However, the lack of diverse team projects or collaborative work descriptions makes it difficult to fully assess cultural fit beyond technical alignment. The experience level is listed as 0, which contradicts the current full-time role, suggesting potential data inconsistency or very early career stage.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience is primarily in personal projects, and there are no completed psychometric or English tests.