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AI/ML Engineer | Building production AI systems that Predict, Decide & Act. Documenting the journey
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Assessing your cultural and operational fit
Diabetes-Prediction
July 30, 2025 – July 30, 2025
This project focuses on predicting the likelihood of diabetes in individuals based on diagnostic data using machine learning models. The notebook contains all steps from data cleaning and visualization to building interpretable models for medical prediction.
View ProjectInsurance-Fraud-Detection
July 30, 2025 – July 30, 2025
About this project :- The objective of the analysis is to identify if the claim is fraudulent or not? Dataset consists of several Variables(Independent) and one Outcome Variable(Dependent) The outcome variable value is either 'Y' or 'N' indicating whether the claim is fraudulent or not?
View Project100xDevs-Journey
August 14, 2024 – August 23, 2024
About In this repository, I document my journey as I progress from a beginner to a skilled developer. Explore my assignments, projects, and the milestones I achieve along the way.
View ProjectChest-X-Ray-Image-Segmentation
August 11, 2024 – July 30, 2025
A deep learning project employing a ResUNet architecture to segment chest X-ray images, enhancing the detection and localization of anatomical features or pathological regions. The model leverages residual connections to improve segmentation accuracy and convergence speed.
View ProjectInterShip-Project-QuinTuplets
July 23, 2023 – July 29, 2023
InterShip-Project-QuinTuplets — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects indicate a self-starter attitude and a willingness to learn new technologies. The diversity of projects, from machine learning to web development and competitive programming, suggests adaptability. However, the projects are all personal and lack team collaboration context, which is crucial for cultural fit in a professional setting. The experience level is 0, indicating a very junior profile for a senior AI/ML Engineer role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.