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

Graduate Assistant & Robinson Influencer Program Volunteer

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

Aug 2025 - Present

  • Managed the project lifecycle for a 6-program webinar series by driving recruitment, scheduling, and technical briefing for alumni and student stakeholders.
  • Coordinated outreach and event logistics for prospective 200+ students to ensure seamless program delivery.
  • Analyzed content performance data, identifying trends that contributed to 2x engagement growth.
  • Represented RCB as a brand ambassador, engaging diverse audiences to drive program awareness and enrollment.

AI Engineering Intern

Kampgrounds of America, Inc. - Atlanta, GA

Mar 2026 - May 2026

  • Built and deployed a multi-agent AI pipeline using Airia to automate group sales workflows across discovery, qualification, availability checks, scoring, and outreach.
  • Reduced a fully manual process from hours to under 10 minutes, enabling scalable lead handling.
  • Designed a 5-table database system for real-time lead tracking, human review, and pipeline state management.
  • Developed a React dashboard connected to live pipeline execution for monitoring and operator interaction.
  • Diagnosed and resolved production issues across APIs, data schemas, and authentication to ensure reliability.

Founder & Creative Technologist

TRISP Studio - Atlanta, GA

Dec 2016 - Present

  • Designed and deployed AI-powered systems including lead intake agents, automated email pipelines, and workflow automation tools used in active business operations.
  • Built an AI lead intake system combining retrieval-based responses, Google Calendar API integration for real-time availability, and automated email drafting, improving response speed and increasing booking conversion.
  • Implemented operational systems that reduced manual overhead and supported record revenue periods.
  • Led creative direction for campaigns distributed through national record labels including Atlantic Records and Motown, operating across technical systems and high-visibility creative work.

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, multi-agent systems, prompt engineering, structured output design, human-in-the-loop systems

Engineering

Python, TypeScript, React, Next.js, PostgreSQL, SQL, REST APIs, webhooks

Data & Infrastructure

Supabase, Vercel, Pandas, NumPy, API orchestration, workflow automation

Product & Design

AI product design, Figma, Adobe Creative Suite, UX for AI systems