Muthu Adithya Ramnarayanan

Data Scientist

https://talent.gravityer.com/muthu-adithya-ramnarayanan

UW Madison (2024), Georgia Tech (2026)

Bay Area, Canada

Key Strengths

Demonstrated proficiency in Python, C++, and various hardware description languages (Verilog, SystemVerilog, Assembly) through personal projects.
Experience with Graph Neural Networks (GNNs) and GPU programming (CUDA) indicates a strong foundation in areas relevant to data science and high-performance computing.
Exposure to Jupyter Notebooks suggests familiarity with common data science development environments.
Projects like 'gnn-builder' and 'GPU-CS-Sketch' show an interest in performance optimization and complex algorithmic implementations.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is diverse, covering areas from hardware design to web development and machine learning. This breadth of interest could indicate adaptability and a willingness to explore different technical domains. However, the projects are all personal, making it difficult to assess collaboration or team-oriented cultural fit. The target role is 'Data Scientist', and while there are relevant projects, the overall focus is quite broad.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

verilogRegistry

February 18, 2026 – Present

Simple Composoble Modules anyone can use

View Project

GPU-CS-Sketch

November 17, 2025 – December 7, 2025

GPU-CS-Sketch — GitHub repository

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VsCodeLLMServer

November 16, 2025 – November 16, 2025

Exposes vscode Github copilot endpoints as an openAI completions server

View Project

mdToPdf

November 2, 2025 – November 2, 2025

mdToPdf — GitHub repository

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ECE539

March 4, 2024 – April 15, 2024

ECE539 — GitHub repository

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tech-trends-backend

February 24, 2024 – March 4, 2024

tech-trends-backend — GitHub repository

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554

February 8, 2024 – May 31, 2024

Spring 2024 Capstone Project

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rmadith

March 10, 2023 – November 27, 2025

Hey, It's me!

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gnn-builder

March 9, 2023 – November 8, 2024

An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization

View Project

Musix

March 4, 2023 – March 5, 2023

A Party Queueing Software

View Project

Key Strengths

Demonstrated proficiency in Python, C++, and various hardware description languages (Verilog, SystemVerilog, Assembly) through personal projects.
Experience with Graph Neural Networks (GNNs) and GPU programming (CUDA) indicates a strong foundation in areas relevant to data science and high-performance computing.
Exposure to Jupyter Notebooks suggests familiarity with common data science development environments.
Projects like 'gnn-builder' and 'GPU-CS-Sketch' show an interest in performance optimization and complex algorithmic implementations.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests.

Muthu Adithya Ramnarayanan

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit