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Bettino Gaussaint

@bettinogaussaint

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Full-stack software engineer focused on scalable ML-backed web applications and automated data pipelines.

United States

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What I'm looking for

I seek a collaborative, product-driven engineering role where I can build scalable ML-backed systems, own backend development, improve data pipelines, and grow in applied ML and deployment practices.

I am a full-stack software engineer with hands-on experience building scalable, multilingual ML-backed web applications and automated data pipelines. I have implemented production-ready systems using Python, Flask, Node.js, React, and MongoDB, and deployed services on DigitalOcean and AWS.

In internship and project work I engineered NLP cores using language models and cosine similarity to semantically match large knowledge bases, automated web scraping and data ingestion with Python, and implemented CI/CD workflows to ensure reliable deployments. I collaborate in Agile teams, use Git/GitHub for code reviews, and translate stakeholder needs into technical specifications and system designs.

I bring strong academic foundations in computer science (data structures, databases, software engineering, AI) paired with practical experience in full software lifecycles, ML pipelines, and cross-functional research and product teams—ready to contribute to systems that require robust backend engineering and applied machine learning.

Experience

Work history, roles, and key accomplishments

Full-Stack Software Engineer Intern

Law Office of Inna Fershteyn

Jun 2025 - Aug 2025 (2 months)

Developed and deployed a scalable multilingual ML search engine (HTML/CSS/JS frontend, Flask backend, MongoDB) and automated data pipelines to sync 400+ legal FAQs, improving search accuracy and data consistency.

Python Flask JavaScript MongoDB NLP API Integration Git Github CI CD Web Scraping

Education

Degrees, certifications, and relevant coursework

CUNY Brooklyn College

Bachelor of Science, Computer Science

Grade: 3.7/4.0

Pursuing a Bachelor of Science in Computer Science with coursework in data structures and algorithms, databases, software engineering, and artificial intelligence; current GPA 3.7/4.0.