PORTFOLIO

Jesse Hirschowitz

Portfolio of Jesse Hirschowitz, a Sydney-based data scientist and full stack developer building practical AI, machine learning and data-pipeline solutions.

Jesse Hirschowitz is a data scientist and full stack developer based in Sydney, NSW, currently a Graduate Data Scientist at Superloop.

He builds practical AI and data solutions spanning machine learning, LLM-powered applications, scalable data pipelines, and full-stack web development — turning complex data into clear, actionable outcomes, from statistical modelling and ML pipelines through to production web applications.

Focus areas

• LLMs & agents — LLM application builds, agentic tooling, prompt and context engineering, and evaluation of model behaviour for real-world use cases.
• Data engineering — production data pipelines, data modelling, Python-based ETL workflows, and automated reporting at enterprise scale.
• AI & machine learning — applied ML with XGBoost and regression modelling, analysis and visualisation with NumPy and matplotlib, and embeddings-based similarity search.

Tech stack

Python, SQL, NumPy, pandas, scikit-learn, XGBoost, matplotlib, Jupyter, React, Next.js, JavaScript, TypeScript, Node.js, C#, Docker, Jenkins, Git, AWS and Vercel.

Elsewhere

• Pages: About, Projects, Certifications, Contact
• GitHub: https://github.com/jessehirscho
• LinkedIn: https://www.linkedin.com/in/jesse-hirschowitz-204724255