Shashank Shekhar Shukla

AI Scientist

https://www.opentalent.in/shashank-shekhar-shukla

AI Scientist @Microsoft

Microsoft

Key Strengths

Extensive personal project experience in AI/ML, particularly in deep learning frameworks (PyTorch) and distributed systems.
Demonstrated interest in advanced AI topics like multi-dimensional parallelism, reinforcement learning (GRPO), and Mixture of Experts (MoE) models.
Proficiency in Python, CUDA, and C++ for high-performance computing, crucial for AI Scientist roles.
Experience with Jupyter Notebooks for research and experimentation.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Experience

Microsoft

AI Scientist

June 13, 2026 – Present

Projects

MoE-RIFT-Routing-Induced-Failure-Traces-in-RL-Post-Training-of-Mixture-of-Experts-VLMs

May 24, 2026 – Present

MoE-RIFT-Routing-Induced-Failure-Traces-in-RL-Post-Training-of-Mixture-of-Experts-VLMs — GitHub repository

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grpo-composer

December 29, 2025 – Present

The first comprehensive toolkit for Group Relative Policy Optimization, unifying over 20 state-of-the-art variants (including TIC-GRPO, KRPO, and RankGRPO) into a modular, config-driven engine for next-generation reasoning alignment

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Mice_Action_Recognition

September 23, 2025 – October 11, 2025

Mice_Action_Recognition — GitHub repository

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Grit-Multimodal_finetuning

September 17, 2025 – October 17, 2025

Grit-Multimodal_finetuning — GitHub repository

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Cuda-Kernels

August 29, 2025 – October 4, 2025

This is the repository containing Cuda Kernels

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QuintNet

August 22, 2025 – Present

QuintNet is a research-oriented PyTorch framework designed to explore and implement multi-dimensional parallelism strategies for distributed deep learning.

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Mnist-Digit-Classification

August 22, 2025 – November 6, 2025

Mnist-Digit-Classification — GitHub repository

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Cross-Building-Segmentation

August 26, 2024 – August 26, 2024

Cross-Building-Segmentation — GitHub repository

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DEVREV-RAG

December 8, 2023 – December 13, 2023

DEVREV-RAG — GitHub repository

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SimplyAudio

December 30, 2022 – July 14, 2023

SimplyAudio — GitHub repository

View Project

Key Strengths

Extensive personal project experience in AI/ML, particularly in deep learning frameworks (PyTorch) and distributed systems.
Demonstrated interest in advanced AI topics like multi-dimensional parallelism, reinforcement learning (GRPO), and Mixture of Experts (MoE) models.
Proficiency in Python, CUDA, and C++ for high-performance computing, crucial for AI Scientist roles.
Experience with Jupyter Notebooks for research and experimentation.

Cultural Fit Analysis

The candidate's project portfolio indicates a strong research and development orientation, aligning well with an AI Scientist role that often involves exploring novel techniques and building prototypes. The diversity of projects, from distributed deep learning to reinforcement learning and computer vision, suggests adaptability and a broad interest in AI subfields. However, all listed projects are personal, and there is no information on team collaboration or contributions to open-source projects, which could provide insights into cultural fit within a collaborative work environment.

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.

Shashank Shekhar Shukla

Key Strengths

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit