Skip to content
View MustaphaU's full-sized avatar
14 followers · 12 following

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2

Highlights

Block or report MustaphaU

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
MustaphaU/README.md

Hi there.

My older github is: https://github.com/TuringNPcomplete

About Me

I am Mustapha Unubi Momoh. I have worked mostly in applied machine learning. My recent experience includes information retrieval, specifically personalized search and recommender systems, and experimentation. I have also worked as a GenAI scientist, consulting for companies to build proof of concept (POC) applications utilizing diffusion models, large language models (LLMs), RAG techniques, vector databases, and graph databases. I also have experience in computer vision and took graduate-level computer vision courses while at the University of Waterloo.

My graduate studies research was at the intersection of causal inference and human computer interaction as well as virtual reality (VR). Part of the research was aimed at understanding telehealth preferences by measuring the relationship between socio-demographic variables like technology affinity and comfort levels in VR telehealth. By iteratively estimating a posterior (beta) distribution of the affinity for technology interaction (ATI) and the reported comfort levels in telehealth, the average treatment effect (ATE) was estimated via regression discontinuity design (RDD). The analysis adopted a Bayesian Inference framework. Additionally, ANOVA, factor analysis, and thematic analysis were conducted. Here is a link to the published thesis: Remote Medical Diagnosis in Virtual Reality: A mixed-methods Approach to Understanding the Perceptions of Patients and Physicians.

Academic Qualifications:

Professional Experience

Recently, I have worked professionally as a Machine Learning Engineer at Pixite Inc. (2024 - 2025), Data Engineer at EveryRate (2024-2024) and Generative AI Engineer consultant at Capgemini (2023-2024).

In the past, I taught Python and data science with the Data Scientists Network (DSN) and Tuteria Limited (2018 - 2021), and founded Karaam Analytics Limited (2020) to continue these efforts.

Please see my RESUME for more details.

Pinned Loading

  1. Hybrid-Search-and-Autocomplete-Flask-app-with-OpenSearch Hybrid-Search-and-Autocomplete-Flask-app-with-OpenSearch Public

    A simple hybrid search Flask application that integrates traditional full-text (lexical/BM25) search with semantic (neural sparse embeddings) search. It also provides autocomplete functionality for…

    Python

  2. RAGwithAmazonTitan RAGwithAmazonTitan Public

    A Demo of Retrieval Augmented Generation with Amazon Titan, Bedrock, Kendra, and LangChain

    Python 1

  3. Automated-OpenSearch-Deployment-on-AWS-within-VPC-using-Terraform Automated-OpenSearch-Deployment-on-AWS-within-VPC-using-Terraform Public

    Automated Terraform infrastructure to deploy a secure OpenSearch domain within a VPC, accessible through an EC2 instance running Nginx as a reverse proxy

    Shell

  4. Simplify-Documentation-Review-on-Atlassian-Confluence-with-LLAMA2-and-NVIDIA-TensorRT-LLM Simplify-Documentation-Review-on-Atlassian-Confluence-with-LLAMA2-and-NVIDIA-TensorRT-LLM Public

    A simple project demonstrating LLM assisted review of documentation on Atlasssian Confluence.

    Python

  5. TensorRT-LLM TensorRT-LLM Public

    Forked from NVIDIA/TensorRT-LLM

    TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…

    C++

  6. Complete-Les-Miserables-Animated-Transition Complete-Les-Miserables-Animated-Transition Public

    Animated Transition between Node-link and Adjacency Matrix

    HTML 2