Ayman Khan

Data Scientist

https://talent.gravityer.com/ayman-khan

Passionate about coding and integrating software solutions into mechanical engineering projects

Bangladesh

Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'LLM-Training-Tutorials' and 'Real-Time-Speed-Tracking'.
Experience with Python, a core language for Data Science, as seen in multiple personal projects.
Exposure to distributed computing concepts with Ray framework in 'ray-e2e-pipeline'.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration in various technical domains, including robotics, LLMs, and distributed systems. This indicates a self-driven and curious individual. However, the projects are predominantly personal and lack team collaboration context, which is crucial for cultural fit in many organizations. The breadth of interests is good, but the depth in any single area relevant to a specific role is not clearly demonstrated through professional experience or certifications.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

orcaqd

May 19, 2026 – Present

orcaqd — GitHub repository

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pi-ghost

May 5, 2026 – Present

Ghost agent-first database CLI integration for the Pi coding agent.

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ros2_gazebo_project

January 14, 2026 – Present

ros2_gazebo_project — GitHub repository

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LLM-Training-Tutorials

December 22, 2025 – December 22, 2025

A comprehensive journey to creating LLMs, featuring tutorials and resources primarily sourced from Zachary Huang (Researcher at Microsoft Research AI Frontiers), enhanced with my own supplementary materials for clarity.

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calculator_mcp_demo

November 10, 2025 – November 10, 2025

Your very own MCP calculator

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Obsidian_Notes

November 1, 2025 – November 1, 2025

Notes on whatever I am learning

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ray-e2e-pipeline

October 26, 2025 – October 26, 2025

This repository provides a practical, step-by-step guide to scaling Python applications using the Ray framework. The goal is to demonstrate how to take standard, single-threaded Python code and progressively refactor it into a distributed application capable of running on a multi-node cluster.

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RoboticsResearch

October 7, 2025 – October 7, 2025

MoodBoard to track all up to date research that is happening in the field of robotics research (also includes quantum methods and exoskeleton).

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Real-Time-Speed-Tracking

October 1, 2025 – October 7, 2025

Tutorial on how to track speed real-time either using a video or live cam.

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Clusters

February 28, 2025 – February 17, 2025

The Clusters particle simulator in JavaScript

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'LLM-Training-Tutorials' and 'Real-Time-Speed-Tracking'.
Experience with Python, a core language for Data Science, as seen in multiple personal projects.
Exposure to distributed computing concepts with Ray framework in 'ray-e2e-pipeline'.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Ayman Khan

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit