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AI Scientist @Microsoft
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Microsoft
AI Scientist
June 13, 2026 – Present
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
View Projectgrpo-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
View ProjectMice_Action_Recognition
September 23, 2025 – October 11, 2025
Mice_Action_Recognition — GitHub repository
View ProjectGrit-Multimodal_finetuning
September 17, 2025 – October 17, 2025
Grit-Multimodal_finetuning — GitHub repository
View ProjectCuda-Kernels
August 29, 2025 – October 4, 2025
This is the repository containing Cuda Kernels
View ProjectQuintNet
August 22, 2025 – Present
QuintNet is a research-oriented PyTorch framework designed to explore and implement multi-dimensional parallelism strategies for distributed deep learning.
View ProjectMnist-Digit-Classification
August 22, 2025 – November 6, 2025
Mnist-Digit-Classification — GitHub repository
View ProjectCross-Building-Segmentation
August 26, 2024 – August 26, 2024
Cross-Building-Segmentation — GitHub repository
View ProjectCultural 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.