Marc McAllister
markiskorova
Backend engineer focused on internal platforms, productivity tooling, and AI-driven ops. Projects in Go, GraphQL, Docker, and OpenAI. Building secure, scalable
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15
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Python
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Top Repositories
🧠 Machine Learning & Natural Language Processing: Predict the author of literary text snippets. Built with TensorFlow and Keras, this project trains an LSTM model on classic literature to identify writing style and authorship.
⚖️ AI Legal Assistant — a modular, explainable legal-tech platform that uses Django and GPT-4o to analyze contracts, extract clauses, assess risk, and generate transparent summaries with case-level reasoning and evidence provenance.
🛠️ AI Ops Assistant — A Go-based backend system for automated log summarization, ticket triage, and changelog generation. Built with GraphQL, JWT auth, PostgreSQL, and a worker queue architecture for scalable operations.
Marc McAlister Resume
🕸️ Associative Named Entity Graph Model (2016) - Semantic graph model for named entity recognition using SQL-based tokenization, co-occurrence analysis, and entity weighting. Built in 2016 using Wikipedia and literary texts as input.
Repositories
15No description provided.
⚖️ AI Legal Assistant — a modular, explainable legal-tech platform that uses Django and GPT-4o to analyze contracts, extract clauses, assess risk, and generate transparent summaries with case-level reasoning and evidence provenance.
🛠️ AI Ops Assistant — A Go-based backend system for automated log summarization, ticket triage, and changelog generation. Built with GraphQL, JWT auth, PostgreSQL, and a worker queue architecture for scalable operations.
Marc McAlister Resume
🕸️ Associative Named Entity Graph Model (2016) - Semantic graph model for named entity recognition using SQL-based tokenization, co-occurrence analysis, and entity weighting. Built in 2016 using Wikipedia and literary texts as input.
⏳ Time Track & Forecast 2020 - Internal tool for tracking billable hours and forecasting workloads using Django, React, and Prophet. Designed for accounting teams to optimize billing and planning.
🧠 Machine Learning & Natural Language Processing: Predict the author of literary text snippets. Built with TensorFlow and Keras, this project trains an LSTM model on classic literature to identify writing style and authorship.
📜 AI Contract Simplifier is an AI-powered tool that extracts, simplifies, and structures obligations and deadlines from legal and business documents, helping non-lawyers understand and act on contracts with clarity.
Simulated embedded lending API with merchant onboarding, underwriting, loan offers, repayments, and partner access — built with Django, Docker, and JWT.
No description provided.
🧠 Backend-powered SaaS app that saves article URLs and prepares them for AI summarization. Built with Go, GraphQL, JWT auth, and PostgreSQL.
Text Extract & Summarize
QuickNotes is a full-stack note-taking app built with React, Node.js, and MongoDB. Create, view, update, and delete notes with a simple and clean interface.
ElasticSearch Learning Project
Simple Book Library Application .Net Core API