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I oversee the orchestration and execution of a Retrieval Augmented Generation (RAG) system for Bombardier, encompassing the management and supervision of the Extract, Transform, Load (ETL) pipeline, alongside embedding the data and its storage within a Vectorstore. Concurrently, I am responsible for overseeing the development of the backend application (including the private instance of Open AI ChatGPT connector) and the subsequent deployment of the RAG system on the Microsoft Azure Platform.

I am one of the founders of TS Titans (Time Series Titans). TS Titan aims to develop Tools based on AI to assist with Investment in the equity market.

I am the co-founder of RL4Good. The group is focusing on evaluating and advancing Artificial Intelligence and Reinforcement Learning projects with a strong commitment to ethical and sustainable development. RL4Good focuses on optimizing computational complexity to reduce environmental impact, collaborating with universities, research institutes, and industry leaders to create AI that serves the greater good of humanity.

- Data Modeler / Engineer for a major Canadian airline to migrate and re-engineer data pipelines and reports from various sources to ADLS Gen2. Data included multiple sources (Teradata, Snowflake, Azure Gen1, on-prem sources) and complex tables structures.- Data scientist working to optimize the efficiency of healthcare insurance pre-certification through image recognition of scanned faxes from various doctors with semi-structured and non-structured data, contextualization using Watson Annotator for Clinical Data, using advanced python machine learning concepts to improve rationalization of engine logic.- Support working groups, technical exchange meetings, and communication with clients- Collaborate and Develop code for automation of unstructured insurance claims.- Manage production support ticket resolution task by team and communicate results with client.

Worked on a series of projects analyzing comparative and absolute valuations. Reverse engineered and optimized the business process in companies invested in by 5M. - Lead Machine Learning Engineer to develop an ML model for analyzing structured data for an automated stock trading application using XGboost and reinforcement learning models.- Experience in pattern recognition, supervised and unsupervised learning, deep learning implementation on different structured and unstructured data specially time-series analysis.

Worked as a researcher on making biofuel out of sewage waste through an optimized pyrolysis reaction.