• Strategic full-stack engineer with 10+ years of experience in Mobile Apps, Agents, MLOps, Websites, DevOps, Cloud
• Shipped front-end & back-end of CellarChat™ chatbot to 1M+ members and established LLM evaluation pipelines
• Architected distributed systems for eCommerce platform, powered by agentic outbound phone calls with AI / LLM
• Boosted mobile app ratings to 4.9★ (10k+ reviews) & lifted recurring revenue by 25%+ w/ Apple Pay subscriptions
• Awarded Top 10 of 10,000 international projects in the 2024 NASA Space Apps hackathon with AI Voice Assistant

• 2025: Gauntlet AI Engineering Fellowship (G3)
• 2024: NASA Space Apps Hackathon Winner
• 2023: GenAI with Large Language Models
• 2022: Ethereum Blockchain Developer
• 2021: Mosh React Native Academy
• 2020: Machine Learning Pipelines (DataRobot)
• 2020: TensorFlow Computer Vision Developer
• 2019: Google Cloud Platform GCP Developer
• 2019: AWS Microservices Practitioner
• 2019: Y Combinator Startup School

AI Engineering Fellowship (G3) • Fall 2025
Gauntlet AI • Remote • Austin, TX

• Invested 10 weeks and 100 hours per week into intense curriculum of AI engineering bootcamp
• Harnessed the power of RAG, multi-agent systems, OpenAPI, and MCP to build agentic automations
• Mastered how to command agents, automate workflows, & deliver enterprise-grade software solutions

Data Science Software Bootcamp • 2019 – 2020
Lambda School • Y Combinator • Remote

• Deployed Supervised/Unsupervised Machine Learning Models, Recommendation Engines
• Computer Vision (CV) Models, Time-Series Forecasting, Natural-Language Processing (NLP) Pipelines
• Python, SciKit-Learn, PySpark, Data Engineering, PostgreSQL Databases, Back-End APIs (Flask / FastAPI)

Computer Science & Mathematics • 2011 – 2012
Georgia Southern University • Statesboro, GA

• Visual Basic, Calculus, C, C++, R, Statistics, Data Structures, Programming Principles, Linear Regression

• Wrote CellarChat™ LLM chatbot for 1M+ active members using TypeScript front-end & Python back-end
• Architected OpenAPI tool-calling pipeline, fine-tuning pipeline, LLM evaluations, & observability systems
• Integrated intelligent ML-powered recommendations for world’s largest online database of wine reviews
• Helped to boost app store ratings to 4.9★ average with 10,000+ verified 5-star ratings on iOS and Android
• Embedded Apple Pay subscriptions in the React Native app to generate additional 25%+ recurring revenue
• Implemented animations, barcode scanning, activity feed posts, ML recommendations, & OCR image search
• Streamlined the Redux store for fast, efficient, and persistent global state management between app sessions
• Rebuilt the React Native app’s analytics implementations for tracking critical user interactions and app behavior

• Transitioned entire codebase from Javascript to Typescript for increased long-term maintainability
• Implemented updates to front-end React Native according to the design team’s mockups in Figma
• Improved computational and network efficiencies by reducing load times and runs to the database
• Evaluated Google Crashlytics to reduce edge case crashes and improve p95 stability and performance
• Iterated on group chat features, push notifications, and native calendar sync to improve user satisfaction

• Built fintech app to compete with Robinhood by exchanging stocks/crypto & connecting bank accounts
• Wrote the data-visualization logic for viewing and comparing the performance of different stocks/crypto
• Built social network features, such as direct chat, user profiles, posts, likes, emojis, & threaded comments
• Constructed core mobile app functionality, including: copy portfolio, trending investors, & suggested stocks
• Custom-built a companion admin web dashboard to monitor mobile app performance & infrastructure health

• During pandemic, taught 900+ online college students Python, machine learning, TypeScript, websites, & databases
• Managed busy schedule of remotely teaching 30+ university students per week in 1:1 setting (one hour per person)

• Converted PHP websites to React and marketed businesses to generate $500k+ of gross sales in 3 years
• Managed online presence for small businesses, including web analytics, Google AdSpend, & email campaigns
• Engineered user experience of uploading videos/images, survey questions, and receiving PDF pricing proposal

• Created my own personal mobile apps to solve my problems & new users sign up everyday
• Setup custom observability dashboards for marketing, analytics, API logs, & database admin
• Deployed agentic endpoints for facilitating merchant onboarding and inventory management
• Automated LLMs to advertise on Reddit by reading threads and commenting on the best posts
• Built end-to-end MLOps pipelines to enable low-latency inference and continuous model updates
• Productionized chatbots using RAG, agentic tool-calling, voice-powered commands, & interactive maps

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