Silky Singh

Data Scientist

https://www.opentalent.in/silky-singh

StanfordMember since June 26, 2026

Key Strengths

Extensive experience with Python for machine learning and computer vision tasks.
Demonstrated ability to contribute to research-oriented projects, including published work (CVPRW'24, BMVC 2023).
Proficiency in deep learning frameworks, specifically PyTorch, as evidenced by UNet implementation.
Strong background in image and video processing, style transfer, object discovery, and image editing.
Experience with Jupyter Notebooks for research and development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong inclination towards research and development in computer vision and machine learning, which aligns well with an innovative and technically driven culture. The diversity of projects suggests adaptability and a broad interest within the data science domain. However, without information on team collaboration or work attitude, a comprehensive cultural fit assessment is limited.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.

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Projects

reedit-diffusion.github.io

November 17, 2024 – Present

reedit-diffusion.github.io — GitHub repository

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video_augmentation

October 3, 2024 – October 23, 2024

video_augmentation — GitHub repository

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grad-app-resources

September 18, 2024 – October 6, 2024

grad-app-resources — GitHub repository

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Exemplar-Based-Image-Editing

July 18, 2024 – July 26, 2024

Intern Project @Adobe

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long_context_benchmark

July 8, 2024 – December 28, 2024

A long visual context benchmark

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local-style-transfer

May 23, 2024 – May 17, 2025

Official repository for LEAST: "Local" text-conditioned image style transfer. CVPRW'24

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Putting-People-in-their-Right-Place

January 4, 2024 – January 4, 2024

Putting-People-in-their-Right-Place — GitHub repository

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automatic-image-tagger

December 12, 2023 – December 12, 2023

A simple tool to tag/caption all objects in an image

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LOCATE

August 28, 2023 – May 17, 2025

[BMVC 2023] Official repository for LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training

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pytorch-unet

September 8, 2022 – September 8, 2022

PyTorch implementation for UNet architecture

View Project

Key Strengths

Extensive experience with Python for machine learning and computer vision tasks.
Demonstrated ability to contribute to research-oriented projects, including published work (CVPRW'24, BMVC 2023).
Proficiency in deep learning frameworks, specifically PyTorch, as evidenced by UNet implementation.
Strong background in image and video processing, style transfer, object discovery, and image editing.
Experience with Jupyter Notebooks for research and development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Silky Singh

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit