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Ryan Zernach

@zernach

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Strategic full-stack AI/ML and mobile app engineer with 10+ years of experience building software.

United States

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What I'm looking for

I seek hands-on senior roles combining AI/ML engineering and mobile/full-stack delivery, with product impact, collaborative teams, and opportunities to scale models & observability.

I am a strategic full-stack engineer focused on AI/ML and mobile applications, with over a decade of experience building front-end and back-end systems, shipping production mobile apps, and operationalizing ML pipelines. I specialize in LLMOps, MLOps, React Native, and Python, and I’ve driven measurable product and revenue improvements.

My notable achievements include architecting and shipping the CellarChat™ LLM chatbot used by over 1M members, designing fine-tuning and evaluation pipelines, and integrating Apple Pay subscriptions that increased recurring revenue by 25%+. I was selected as a Gauntlet AI Engineering Fellow and recognized among the Top 10 of 10,000 projects in the 2024 NASA Space Apps Challenge.

I build observability dashboards, low-latency ML endpoints, and robust engineering systems (CI/CD, queues, vector DBs) while mentoring and teaching developers and students. I seek roles where I can combine hands-on engineering, AI strategy, and product-driven outcomes to scale intelligent experiences.

Experience

Work history, roles, and key accomplishments

AI Engineer / Mobile Engineer

CellarTracker

Jan 2023 - Jan 2025 (2 years)

Developed TypeScript front-end and Python back-end for CellarChat™ serving 1M+ members; architected OpenAPI, fine-tuning, evaluation pipelines and admin observability, boosting app store ratings and adding 25%+ recurring revenue via Apple Pay subscriptions.

TypeScript React Native Python OpenAPI MLOps Redux

Mobile Engineer

Demosphere

Jan 2022 - Jan 2023 (1 year)

Transitioned codebase from JavaScript to TypeScript, optimized computational and network efficiencies, and improved p95 stability by evaluating Crashlytics and iterating chat, notifications, and calendar sync features.

TypeScript JavaScript React Native Performance Optimization Push Notifications

React Native Developer

FinEquities

Jan 2021 - Jan 2022 (1 year)

Built a fintech mobile app enabling stock/crypto trading and bank connections, implemented data-visualization, social features, and core app flows to support portfolio comparison and user engagement.

React Native Data Visualization Mobile Payments API Integration User Profiles Chat Security

React Native Developer

InstaSod

Jan 2015 - Jan 2019 (4 years)

Built mobile apps and four websites, drove online marketing that generated $500k+ gross sales over three years, and managed local businesses including landscape design and holiday lighting services.

React Native Web Development Mobile Design Online Marketing Payment Integration Full Stack

Founding Full-Stack Engineer

Archlife Industries

Built and deployed mobile apps and agentic LLM endpoints, automated LLM-based advertising, produced low-latency MLOps pipelines, and created observability dashboards for marketing and database management.

MLOps RAG Vector Databases Observability Automation Deployment

Education

Degrees, certifications, and relevant coursework

Vanderbilt University

Data Science / Machine Learning, Data Science / Machine Learning

2020 - 2021

Activities and societies: Remote Teaching Assistant; taught machine learning, Python, APIs, TypeScript, HTML, dashboards, and databases to ~900 students; managed 1:1 remote instruction.

Completed Data Science / Machine Learning coursework while serving as a remote teaching assistant and teaching hundreds of students practical ML and data engineering topics.

Lambda School (BloomTech)

Data Science / Machine Learning, Data Science / Machine Learning

2019 - 2020

Activities and societies: Hands-on projects with Python, scikit-learn, PySpark, data engineering, PostgreSQL, and back-end APIs (Flask / FastAPI).

Completed Data Science / Machine Learning program covering supervised and unsupervised models, recommendation engines, computer vision, time-series, and NLP pipelines.