Jemari Sapp

AI engineering for automated product systems.

I am an MS Information Systems candidate focused on AI for Business Innovation, building multi-agent workflows, RAG systems, dashboards, and automation tools for real business operations.

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Summary

My current work centers on AI systems that move operational workflows from manual effort into reliable, reviewable software. I bring a design-led product perspective to engineering work across multi-agent automation, retrieval systems, data pipelines, and user-facing tools.

Education

Master of Science in Information Systems

AI for Business Innovation - Georgia State University, J. Mack Robinson College of Business

Expected Aug 2026

Bachelor of Fine Arts in Graphic Design

Graphic Design - Georgia State University

May 2023

Experience

Agentic AI Developer Intern

LK Taylor and Associates - Atlanta, GA

May 2026 - Present

  • Automated case law retrieval across Georgia state, federal, and Supreme Court jurisdictions by building a RAG-based legal research platform with vector search.
  • Reduced legal research effort by developing agentic AI workflows for document retrieval, analysis, and summarization.
  • Accelerated legal drafting by creating an AI contract generation system that transforms client intake data into jurisdiction-specific contracts.
  • Streamlined legal research workflows by integrating LLM-powered document analysis and public court record APIs.

AI Engineering Intern

Kampgrounds of America, Inc. - Atlanta, GA

Mar 2026 - Apr 2026

  • Automated group sales workflows by building and deploying a multi-agent AI pipeline for qualification, availability checks, scoring, and outreach.
  • Reduced a manual process from hours to under 10 minutes, enabling scalable lead handling.
  • Improved lead tracking and human review processes by designing a 5-table database architecture.
  • Enabled real-time pipeline monitoring by developing a React dashboard for operator interaction and workflow oversight.

Graduate Assistant

Georgia State University, J. Mack Robinson College of Business - Atlanta, GA

Aug 2025 - Present

  • Supported graduate recruitment efforts by managing webinar and outreach initiatives for prospective students.
  • Improved prospective student engagement by coordinating outreach and event logistics for 200+ students.
  • Increased program engagement by identifying content performance trends that contributed to 2× growth.
  • Enhanced student support operations by serving as a primary point of contact for graduate program inquiries.

Founder & Product Lead

Trilo - Atlanta, GA

Nov 2024 - Present

  • Built and launched a multi-tenant sports league management platform serving 100+ active users, automating league operations across multiple online gaming communities.
  • Reduced commissioner workload by approximately 60% through the automation of 30+ league admin workflows.
  • Enabled scalable league operations by designing and maintaining a PostgreSQL database supporting user management, subscriptions, analytics, and audit logging.
  • Reduced manual admin tasks by building AI-powered OCR workflows for automated ingestion and league operations.
  • Eliminated data anomalies by redesigning core data models into a normalized relational architecture.

Founder & Creative Technologist

TRISP Studio - Atlanta, GA

Dec 2016 - Present

  • Improved business operations by designing and deploying AI-powered lead intake agents, workflow automation tools, and automated communication systems.
  • Increased booking efficiency and response speed by building an AI lead intake system with retrieval-based responses, Google Calendar integration, and automated email workflows.
  • Delivered creative campaigns distributed through national record labels including Atlantic and Motown.

Projects

ML Research: Deepfake Detection

TensorFlow, Scikit-learn, Python

  • Developed a neural network model using RL-based active learning to detect AI-generated media, improving model adaptability to new data patterns during training.
  • Engineered features and evaluated model performance using scikit-learn and TensorFlow/Keras, enabling systematic comparison of model accuracy and generalization.
  • Documented model design, experimentation process, and results in a structured research report, supporting reproducibility.

RAG-Based AI System for Medicaid Policy Video Generation

Python, Pinecone, LangChain, n8n

  • Built a retrieval-based system using Pinecone and LangChain to ensure factual consistency in policy explanations.
  • Designed a pipeline that converts complex Medicaid policies into multilingual video content for families with IDD.
  • Orchestrated 5+ APIs using n8n to automate end-to-end generation in less than 15 minutes.
  • Implemented human-in-the-loop review layers for compliance, accuracy, and safety.

AI-Powered Sports League Management Platform

Python, PostgreSQL, APIs, Computer Vision

  • Built and deployed a Discord-based platform supporting 300+ users across multiple leagues.
  • Automated administrative workflows to support scaling across concurrent leagues.
  • Developed an image-to-structured-data pipeline that reduced manual data entry by 80%.
  • Designed a Python and PostgreSQL backend for scheduling, matchups, and league operations.

Skills

AI Systems

RAG, Agentic AI, Multi-Agent Systems, Prompt Engineering, Structured Outputs, Tool Calling, Human-in-the-Loop Systems, Workflow Automation

Engineering

Python, TypeScript, SQL, PostgreSQL, Supabase, Database Design, Data Modeling, Relational Databases, Vector Databases, REST APIs, Webhooks, API Orchestration

Data & Infrastructure

React, Next.js, Vercel, Pandas, NumPy

Product & Design

AI Product Management, Product Strategy, Workflow Design, Process Automation, User Research, Figma, AI Product Design, UX Design, Adobe Creative Suite