Destiny Raburnel
Data Engineer · AI Strategy · Primerica

Hi, I'm

Destiny
Raburnel

Data & AI Engineer · AI Strategy & Enablement

I build the systems behind enterprise AI and draw on that hands-on foundation to guide teams toward sound AI decisions. I design and build pipelines, data marts, and AI-ready datasets that production AI depends on — and have delivered production RAG, agentic, and multi-agent LLM systems. I pair that engineering depth with the ability to identify business use cases, shape AI solutions, and lead AI adoption across business and technical teams. Dual Master's candidate in AI and Software Engineering at Kennesaw State University. Background in Biomedical Engineering from Mercer University.

MS Artificial Intelligence — KSU · 2026
MS Software Engineering — KSU · 2025
BS Biomedical Engineering — Mercer · 2024
3 Degrees
5+ AI Projects
4 Companies
2+ Years Experience

Where I've worked

Experience

Data Engineer

Primerica

June 2025 – Present
  • Lead AI enablement and education sessions for senior leadership, executives, and cross-functional teams, teaching practical AI use cases and establishing adoption frameworks for responsible enterprise AI integration — including GitHub Copilot
  • Serve as primary Palantir Foundry SME and point of contact, owning identification of enterprise business use cases for AI, translating business needs into data and AI solutions, communicating business value to leadership, and supporting platform administration and troubleshooting
  • Partner with business leaders and a vendor delivery team to scope, evaluate, and prioritize AI and data use cases in Palantir Foundry, governing how the ontology and enterprise data models are developed as data marts migrate into the platform
  • Design and build data marts and dimensional models using star schema principles to prepare and structure enterprise data for AI, analytics, and BI consumption, enabling downstream AI implementation and ML-ready datasets
  • Develop and maintain Medallion Architecture (Bronze → Silver → Gold) ETL/ELT pipelines in Databricks with SQL and Spark transformations, business-rule logic, validation, and performance optimization across large enterprise datasets
  • Integrate enterprise data and observability pipelines using QLIK Replicate, Dynatrace RUM, APIs, webhooks, Amazon S3, and IBM systems; create Power BI dashboards on curated warehouse and data mart structures
  • Support CI/CD workflows, API testing, and deployment automation with Jenkins, Kubernetes, GitHub Actions, and Postman
Databricks Apache Spark Palantir Foundry Power BI Dynatrace AI Enablement Star Schema

AI Engineer · AI Strategy Consultant

Desivia LLC

2024 – Present
  • Built an AI agent that generates and adjusts hospital staffing schedules using constraint-based reasoning, modeling shift coverage, availability, and student-to-physician assignments
  • Designed and deployed an AI matchmaking system for live events, ingesting JotForm and Google Sheets data, running OpenAI reasoning workflows in n8n, and delivering matches via Twilio and Canva
  • Contributed to AI model training and evaluation workflows, rating and refining outputs across conversational and task-based prompts using domain knowledge in software engineering and data
OpenAI API n8n Constraint-Based Reasoning Prompt Engineering Twilio

AI Systems Consultant

Handshake AI

2025 – Present
  • Evaluated and ranked AI-generated code responses across correctness, efficiency, readability, and instruction adherence to support LLM training and reinforcement learning workflows (Project Vox)
  • Conducted structured side-by-side comparisons of model outputs, identifying behavioral inconsistencies, edge-case failures, and response quality gaps across programming and reasoning tasks
  • Contributed to prompt refinement and conversational AI evaluation workflows focused on improving model reliability, response alignment, and technical accuracy
LLM Evaluation RLHF Prompt Optimization AI Alignment

Engineering Research Assistant

Mercer University

Aug 2023 – May 2024
  • Collected and labeled real-world EMG sensor data for applied machine-learning experiments
  • Supported gesture-recognition model development using TensorFlow Lite on embedded systems
  • Collaborated with faculty on biomedical ML research involving instrumentation and embedded platforms
TensorFlow Lite EMG Sensors Embedded Systems ML Research

IT Finance Engineer Intern

Sephora HQ

June – Aug 2023
  • Developed SAP ABAP programs to generate vendor and customer line item reports supporting IT finance operations
  • Designed and modified SAP tables and built ABAP and SQL logic to extract, transform, and validate financial data, improving reporting accuracy and traceability
  • Automated data collection and reporting processes, eliminating manual Excel-based workflows and reducing operational overhead
SAP ABAP SQL Financial Reporting

What I've built

Projects

A selection of AI systems, data pipelines, and applied ML research.

LLM · Benchmarking

LLM Optimization & Benchmarking Platform

Prompt Strategy Evaluation Workbench

  • Evaluates zero-shot & few-shot prompt strategies across multiple open-source LLMs
  • Multi-dimensional metrics: ROUGE, LLM-as-judge, latency, throughput, energy cost
  • Full-stack experiment tracking with MySQL backend and REST API
Python Streamlit MySQL Ollama ROUGE LLM-as-Judge REST API
AI · Full-Stack

NarrativeOS

AI Writing Agent for Long-Form Fiction

  • Full-stack co-writing platform with pluggable multi-provider LLM layer: Claude, GPT-4o, and Gemini 2.5
  • Anthropic prompt caching across system prompts & message prefixes, cutting input token costs ~90%
  • Parallelized approval pipeline via Python asyncio running 6 concurrent AI agents (memory, continuity, relationships, outline)
  • ElevenLabs TTS/STT + OpenAI image generation for character portraits; deployed on Vercel & Railway with Supabase + Google OAuth
Claude API OpenAI Gemini asyncio ElevenLabs Supabase Vercel
AI Agents · Full-Stack In Development

ScholarAgent

Agentic AI Study Scheduler

  • Ingests a D2L calendar feed and reasons about assignment complexity through a three-agent pipeline: FilterAgent, EstimatorAgent, and SchedulerAgent
  • Builds a personalized, load-balanced study schedule working backwards from deadlines, with adaptive recalibration as the user logs progress
  • In-app calendar view via FullCalendar.js with optional Google Calendar sync and Gmail digest; all agent reasoning streamed to the frontend in real time
  • Deployed on Vercel and Railway with Supabase auth and persistent storage
Claude API FastAPI React + Vite Supabase FullCalendar.js Google Calendar API Gmail API

What I work with

Technical Skills

AI Strategy & Enablement

AI Adoption StrategyBusiness Use-Case Development Executive AI EducationAI Enablement AI Solution ArchitectureAI Integration Planning Responsible AIGitHub Copilot Adoption

Languages

PythonSQLTypeScript JavaScriptJavaScala Node.jsSAP ABAP

Data Engineering

DatabricksApache Spark Medallion ArchitectureETL/ELT Star SchemaDimensional Modeling Data MartsAWS S3 QLIK ReplicateSQL Server DB2Palantir Foundry

AI & Machine Learning

LLMsRAGAgentic AI Multi-Agent SystemsLangChain ChromaDBPyTorch Hugging FaceModel Fine-Tuning Prompt EngineeringPrompt Caching LLM-as-JudgeSemantic Embeddings NLPClaude API OpenAI APIGoogle Gemini API ElevenLabs API

Cloud & DevOps

DockerKubernetes GitHub ActionsJenkins CI/CD PipelinesVercel RailwaySupabase DynatraceLinux n8nPostman

Data Science & Analytics

PandasNumPy Scikit-learnROUGE Scoring Feature EngineeringStatistical Analysis Power BIStreamlit

Backend & APIs

FastAPIREST APIs API DesignSystem Design Software Architecture

Let's connect

Open to opportunities & collaboration

Whether it's a full-time role, a research collaboration, or a freelance AI project. I'd love to hear from you.