MUN Quant Society

Team

Director, Data & Infrastructure · Sep 2025 – Present

PythonPostgreSQLGCPPyTorchNLPGitHub ActionsCI/CDMicroservices

Overview

As Director of Data & Infrastructure for the MUN Quant Society, I lead the development of the society's end-to-end trading infrastructure — from real-time data ingestion to deployed microservices powering algorithmic trading strategies.

What I Built

Trading Infrastructure

Directed the development of real-time ingestion pipelines, PostgreSQL storage backends, and GCP-deployed microservices powering high-frequency trading, backtesting, and sentiment-analysis systems.

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Data Tooling & NLP Pipelines

Developed scalable Python/SQL data tooling with CI/CD via GitHub Actions. Built NLP pipelines using PyTorch and transformer hyperparameter tuning, ensuring low-latency aggregation and robust analysis of multi-source market feeds.

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