John Aziz

Data Scientist

https://talent.gravityer.com/john-aziz

Software Engineer

Lyah

Key Strengths

Demonstrated interest in Edge AI and LLM applications through personal projects.
Experience with Python, Jupyter Notebook, and various web technologies relevant to data science and MLOps.
Familiarity with RAG implementations using Azure OpenAI and Cosmos DB for MongoDB vCore.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal learning and exploration in AI/ML, which could indicate a proactive and self-driven individual. However, the lack of diverse project types (all personal) and limited professional experience (one current role with no details) makes it difficult to fully assess cultural fit beyond a general interest in the field. The target role is Data Scientist, and the projects align well with modern data science practices, particularly in the Generative AI space.

Soft Skills & Operational Fit

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

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

edgeai-for-beginners

June 27, 2025 – Present

This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.

View Project

Cosmic-Food-RAG-app

May 28, 2024 – Present

A chat-based recommendation application that revolutionizes the culinary experience.

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build-24-langchain-vcore

May 6, 2024 – May 28, 2024

build-24-langchain-vcore — Dev.to repository

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rag-semantic-kernel-mongodb-vcore

February 12, 2024 – Present

A sample for implementing retrieval augmented generation using Azure Open AI to generate embeddings, Azure Cosmos DB for MongoDB vCore to perform vector search, and semantic kernel.

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markdown-checker

November 21, 2023 – Present

Markdown Links Validation Reporting Tool

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action-check-markdown

November 21, 2023 – December 12, 2024

Validate .md and .ipynb files for writing standard.

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Llama-2-Onnx

July 17, 2023 – January 4, 2024

Llama-2-Onnx — Dev.to repository

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Create-and-Send-Personalized-Certificates-using-GAS

December 12, 2020 – February 22, 2024

Google apps script to create and send personalized certificates to anyone automatically.

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Google-Apps-Script-Send-Custom-Emails

September 30, 2020 – February 22, 2024

Google apps script to send two custom HTML messages to anyone automatically.

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cachelib

November 28, 2018 – Present

Extract from werkzeug.cache

View Project

Key Strengths

Demonstrated interest in Edge AI and LLM applications through personal projects.
Experience with Python, Jupyter Notebook, and various web technologies relevant to data science and MLOps.
Familiarity with RAG implementations using Azure OpenAI and Cosmos DB for MongoDB vCore.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

John Aziz

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit