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.

EmailGithubLinkedIn

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

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.

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.

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