B Diop

AI Governance and Risk Management professional with 7+ years in regulated financial services, specializing in model risk governance, data quality controls, and regulatory compliance.

Joined on Jun 1, 2026

Work

AI Governance Lead | AIGP Certified, SC-900 | Model Risk Management | Responsible AI

GitHub Repositories

FullStackBigData-with-SPARK

Pulled 10GB ofYelp Business data through the terminal via Kaggle API. The data was then pushed to and AWS S3 Bucket bucket for storage and analyzed on a Elastic MapReduce Cluster on a Jupyter Notebook using PySpark

Jupyter Notebook • 2 stars

PythonMicroserviceDeployment_SocrataAPI

In this project I leveraged Socrata OPCV API data to build a pipeline of logs from Docker Container to the Elasticsearch, Kibana Stack where data was collected, analyzed and transformed into visuals. Scripts were written in python and polished to be able to take in command line arguments from UNIX/LINUX operating systems. The scripts were tested for reproducibility by provisioning, configuring and executing an AWS EC2 instance which ran on a Docker container, read-in the python script, parsed in parameters from the command line and pull the API JSON logs. Additionally Git was utilized to maintain version control and prevent the confliction of concurrent work.

Python

AIAuditTrailGenerator

A compliance-ready Streamlit app that creates auditable JSON records for every AI interaction.

Python

Operations-Impact-Analysis

Python

Skills/Languages

Deep: PySpark, Python, SQL, SAS.

Governance: drift detection, data lineage, audit logging, NIST AI RMF, EU AI Act.

Tools: Streamlit, Databricks, Evidently, Microsoft Purview. AIGP certified.

Currently learning

Building production-grade AI governance systems, dashboards, and drift detection. Currently deepening my understanding of LLM safety evaluations and prompt injection detection frameworks.

Currently hacking on

Real‑time AI audit logging engine (10k+ req/sec) + feature drift monitor for 100M+ rows + enterprise AI risk aggregator with EU AI Act what‑if scenarios.