Sudipta Sarkar

Computer Vision

https://talent.gravityer.com/sudipta-sarkar

Researcher || Ex-Student at RKMRC & RKMVCC ll Computer Science ll Deep Learning || Computer Vision || Multimodal Understanding

Kolkata, West Bengal, India

Key Strengths

Strong focus on Computer Vision projects, particularly in image segmentation and action recognition.
Demonstrated experience with various UNet architectures (UNet, UNet++, TransformerUNET) and other vision models (DinoV3 MSN, Hiera).
Proficiency in Python, which is a core language for Computer Vision and Machine Learning.
Experience with deep learning frameworks (PyTorch implied by project descriptions).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are highly focused on Computer Vision, indicating a strong alignment with the target role. The diversity of projects within this niche (segmentation, action recognition, pretraining) suggests a broad interest and willingness to explore different aspects of the field. However, the lack of non-technical projects or team-based work descriptions limits the assessment of broader cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

GRTS

April 29, 2026 – Present

A Gated Residual Teacher–Student Framework for Feature Refinement in Image Classification

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SIFAR-Hiera

March 31, 2026 – Present

Master’s thesis on action recognition using Super-Image representations, built upon a pretrained Hierarchical Vision Transformer (Hiera) backbone for efficient spatiotemporal modeling.

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Dino_MSN

February 16, 2026 – Present

DinoV3 MSN Finetune and Pretraining code base

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TransformerUNET

November 2, 2025 – November 2, 2025

TransformerUNET — GitHub repository

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Simple-UNet-Segmentation

September 25, 2025 – September 25, 2025

Simple-UNet-Segmentation — GitHub repository

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UNetPP-Image-Segmentation

September 24, 2025 – September 24, 2025

UNet++ Model For Image Segmentation Implementation using PyTorch By Sudipta Sarkar

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UNet-Image-Segmentation

September 24, 2025 – September 24, 2025

UNet Model For Image Segmentation Implementation using PyTorch By Sudipta Sarkar

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Machine-Intelligence

August 30, 2024 – September 2, 2024

Machine intelligence is advanced computing that enables a technology (a machine, device, or algorithm) to interact with its environment intelligently,

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Codes

May 23, 2021 – November 2, 2025

This is My Main Repository

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Rik-Sarkar-07

May 23, 2021 – July 22, 2025

Config files for my GitHub profile.

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Key Strengths

Strong focus on Computer Vision projects, particularly in image segmentation and action recognition.
Demonstrated experience with various UNet architectures (UNet, UNet++, TransformerUNET) and other vision models (DinoV3 MSN, Hiera).
Proficiency in Python, which is a core language for Computer Vision and Machine Learning.
Experience with deep learning frameworks (PyTorch implied by project descriptions).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available.

Sudipta Sarkar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit