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Chad Hoke

@chadhoke

Senior software engineer at Mastery Holdings who built a conversational AI coaching platform with real-time text and voice experiences.

United States

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At Mastery Holdings, I owned the architecture and delivery of an AI-powered mental coaching platform. I built a real-time conversational coach with personalized text and voice experiences, and engineered RAG pipelines and contextual memory to support relevant, consistent conversations.

I designed backend services and database workflows, reducing response latency by 55%. I also built responsive coaching experiences and integrated authentication, analytics, payments, and personalization APIs.

At Viable, I developed AI-powered pipelines for customer feedback analysis, reducing manual tagging and analysis by 80%. Earlier, at DoctorLogic, I built web applications and backend services, and at Microsoft I worked on test automation and validation infrastructure as a Software Engineer Intern.

Experience

Work history, roles, and key accomplishments

Senior Full Stack AI Engineer

Mastery Holdings

Apr 2024 - Aug 2026 (2 years 4 months)

Owned architecture and end-to-end delivery of an AI-powered mental coaching platform using React, Node.js, FastAPI, Supabase, GraphQL, and GCP services. Architected a real-time conversational AI coach with GPT-4, LangChain, Pinecone, Vertex AI, ElevenLabs, and Deepgram, and engineered RAG pipelines and MCP-enabled tools.

React NodeJS fastAPI Supabase GraphQL GCP Cloud Run Cloud Storage Vertex AI GPT 4 Lang Chain Pinecone ElevenLabs Deepgram RAG MCP Redis TypeScript GitHub Actions CI CD Prometheus Cursor GitHub Co Pilot Claude

Senior AI Software Engineer

Viable

Aug 2022 - Feb 2024 (1 year 6 months)

Architected scalable full-stack customer intelligence platforms using Next.js, Django, .NET, PostgreSQL, Hasura GraphQL, GPT-4, Amazon Bedrock, and Elasticsearch. Developed AI-powered data pipelines for ingestion, embedding generation, topic clustering, vector search, and LLM-based classification, reducing manual tagging and analysis efforts by 80%.

Next.js Django .NET PostgreSQL Hasura GPT 4 Amazon Bedrock Elasticsearch Python Microservices AI Data Pipelines Vector Search LLM Sentiment Analysis MCP Multi Agent Systems CI CD Monitoring

Software Engineer

DoctorLogic

Oct 2016 - Jul 2022 (5 years 9 months)

Built and maintained scalable web applications with React, TypeScript, and Webpack, and developed backend microservices using C#, .NET, and Python. Improved application performance by approximately 30% through frontend optimizations and SQL query tuning, and implemented monitoring with Prometheus and Grafana.

React TypeScript Webpack C#.NET Python REST APIs SQL Server Prometheus Grafana Cypress Agile Microservices

Software Engineer Intern

Microsoft

Jun 2016 - Sep 2016 (3 months)

Improved configurability of the internal test execution pipeline by refactoring .NET automation scripts and developing validation tooling with Python/Django. Expanded automated test coverage to nearly 100% for virtual machine lifecycle workflows and implemented a new storage abstraction layer.

.NET Python Django Automation Testing Virtual Machines Storage Abstraction Layer