Ryan Zernach

Senior Software Engineer (Full-Stack)

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

Category	Technologies
LLMOps / RAG / MCP / Voice Agents / Evaluations	LangChain / GenAI / OpenAPI / Semantic Kernel
ML / Data	Machine Learning Pipelines / Computer Vision / Python / PyTorch / PySpark / ETL / TensorFlow
Cloud / DevOps	Cloudflare / AWS / Azure / GCP / CloudOps / DevOps / Docker / Kubernetes / Terraform
Data & APIs	Vector Databases / SQL / GraphQL / NoSQL / Git / Bash / Cursor / Claude / Orchestration
Auth & Security	AuthN / AuthZ / OAuth / Identity / Security
Mobile	React Native / iOS / Android / Swift / Kotlin / Expo
Frontend / Backend	TypeScript / React / Redux / Node / Next / Streamlit / FastAPI / Express / Rust / .NET / C# / Go / Java / Ruby
Realtime / Infra	WebSockets / Queues / RabbitMQ / Redis / WebRTC
Web3	Blockchain / dApps / Wallets / Ethereum / Solana
Payments	Apple Pay / Subscriptions / Stripe / IAP / Webhooks
Growth & Comms	SEO / Marketing Automations / Campaign Attribution / IMAP / SMTP / Emails / SMS / Twilio / Push Notifications
Observability	Systems Observability / Analytics / Admin Dashboards

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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