Professional Overview
I am a Data Scientist and a CFA Charterholder, and I have a Master's degree in Data Science from Georgia Tech. Over the past few years, I have specialized in building AI models and data pipelines for the financial and insurance industries. Currently, I am a Data Scientist at SGI Canada, where I focus on end-to-end predictive modeling and solutions. For example, I built a machine learning model that predicts property replacemet costs and built the first integrated broker performance solutions from scratch. Most recently, I worked as a Quantitative Finance Expert at xAI. There, I built a multi-agent AI platform to track geopolitical risks and turn them into financial hedging strategies. I also built AI pipelines to extract and anonymize information from complex financial documents.
Areas of Expertise
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
