
Data Scientist @GEP-GitHub
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custom-yolo-implmentation
October 28, 2025 – December 24, 2025
Scalable multi-class object detection and distributed training (FSDP/DDP) on HPC clusters, featuring custom YOLO architecture and efficient Dask/Parquet data pipelines.
View ProjectProjectRepo
May 29, 2021 – May 22, 2025
ProjectRepo is a React.js web application showcasing AI/ML projects. Features CNN-powered image colorization, CycleGAN low-light enhancement, and LSTM poem generation. Built with React frontend, Django backend, and TensorFlow/Keras models. Interactive UI includes dark mode, responsive design, file upload/download functionality for testing ML models
View ProjectLow-light-Image-Enhancement-using-GAN
May 27, 2021 – May 22, 2025
A GAN-based system that transforms dark, poorly lit images into well-illuminated versions. Using a custom encoder-decoder architecture, it enhances brightness and contrast while preserving image details. Effective across various low-light conditions, this model improves visibility for photography, surveillance, and mobile applications.
View ProjectOptical-Character-Recognition
November 5, 2020 – May 22, 2025
A CNN-based OCR system that extracts both typed and handwritten text from images. Using a multi-layered convolutional neural network trained on the EMNIST dataset, it processes images through hierarchical contour detection to identify and recognize alphanumeric characters. Ideal for document digitization and text extraction applications.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and heavily focused on AI/ML, which aligns well with a Data Scientist role. However, the lack of team-based projects or diverse industry experience limits the assessment of broader cultural fit. The candidate's experience level is 0, suggesting a junior profile, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical execution.