
MLE
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
NousResearch
Data Scientist
June 20, 2026 – Present
lighthouse-attention
May 2, 2026 – Present
Long Context Pre-Training with Lighthouse Attention
View Projectmetal-shader-kernels
April 5, 2026 – Present
Optimized compute kernels for Apple Silicon, written in Metal Shading Language (MSL).
View ProjectSimKO
October 20, 2025 – October 20, 2025
Unofficial impl of Simple Pass@K Optimization with triton fused kernels
View Projectblackwell_kernels
September 19, 2025 – Present
A set of blackwell kernels in cuda and cute
View ProjectDiffusion-Kernels
January 4, 2025 – April 19, 2025
Kernels for attention and other diffusion specific tasks.
View Projectrustyfresh
June 9, 2024 – June 22, 2024
A Rust-based alternative to tsfresh for time series feature extraction.
View ProjectSIH-Backend-Chatbot-Server
September 19, 2023 – October 6, 2023
Backend chatbot server for SIH
View ProjectNotionAutomation
July 26, 2023 – August 11, 2023
Notion Automation using Serverless and Notion API
View ProjectTerminalPortfolio
June 11, 2023 – February 15, 2024
A portfolio built to give the feel of terminal 🤩
View Projectfintech-api
November 19, 2022 – August 26, 2023
An API that helps you to deal with your financial calculations
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong interest in cutting-edge areas like GPU kernels, attention mechanisms, and time series feature extraction, which could indicate a proactive and research-oriented mindset. However, the diversity of projects outside of core ML/data science is limited, and the descriptions are brief, making a comprehensive cultural fit assessment challenging. The single professional experience is directly aligned with the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.