Arshad Kazi

Data Scientist

https://talent.gravityer.com/arshad-kazi

Open for Collaboration/Opportunities | Computer Vision | Data Scientist

Mumbai, Maharashtra, India

Key Strengths

Extensive personal project experience in various advanced AI/ML domains, including computer vision (Sign Language Recognition, 3D-UNet, YOLO-NAS, DINO, CLIP, NeRF), natural language processing (RAG-on-PDF), and multi-task learning.
Demonstrated proficiency in Python and Jupyter Notebook for machine learning development.
Strong focus on implementing complex models from scratch (DINO, CLIP, NeRF), indicating a deep theoretical understanding and practical implementation capability.
Projects align well with a Data Scientist role, particularly those with a focus on deep learning and computer vision.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate demonstrates a strong passion for machine learning and deep learning through a diverse portfolio of personal projects. The breadth of projects, from image segmentation to generative models and pose estimation, suggests a curious and self-driven individual. This aligns well with a culture that values continuous learning and independent exploration. However, without information on collaborative projects or work experience, it's difficult to fully assess cultural fit regarding teamwork and interpersonal dynamics.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work without details on team collaboration, problem-solving approaches, or communication styles.

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Projects

CLIP_from_scratch

April 3, 2026 – Present

CLIP_from_scratch — GitHub repository

View Project

DINO_from_scratch

May 8, 2025 – May 13, 2025

PyTorch implementation of DINO (Self-Distillation with No Labels) from scratch.

View Project

NeRF-from-scratch

April 4, 2025 – April 23, 2025

A PyTorch implementation of Neural Radiance Fields (NeRF) built from scratch.

View Project

2d_to_3d_human_pose_uplift

November 25, 2024 – January 25, 2025

Transformer based 2D to 3D Human Pose Estimation

View Project

RAG-on-PDF

January 11, 2024 – January 30, 2024

Retrieval-Augmented Generation (RAG) over a Large Language Model (LLM) For PDF data extraction

View Project

YOLO-NAS-for-custom-data

May 10, 2023 – December 7, 2023

YOLO-NAS-for-custom-data — GitHub repository

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3D-UNet-Image-Segmentation

April 8, 2023 – December 7, 2023

3D image segmentation using UNet: for MRI/CT scan image data

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Multi-Task-Learning-for-Images-age-gender

January 27, 2023 – December 7, 2023

Using Multi-task learning predict the age and gender from the images.

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srm_hack

September 28, 2019 – October 16, 2019

SRM_HACKATHON

View Project

Sign-Language-Recognition

March 3, 2019 – June 12, 2023

Indian Sign language Recognition using OpenCV

View Project

Key Strengths

Extensive personal project experience in various advanced AI/ML domains, including computer vision (Sign Language Recognition, 3D-UNet, YOLO-NAS, DINO, CLIP, NeRF), natural language processing (RAG-on-PDF), and multi-task learning.
Demonstrated proficiency in Python and Jupyter Notebook for machine learning development.
Strong focus on implementing complex models from scratch (DINO, CLIP, NeRF), indicating a deep theoretical understanding and practical implementation capability.
Projects align well with a Data Scientist role, particularly those with a focus on deep learning and computer vision.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Arshad Kazi

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit