Kenneth Emmanson

Senior Full Stack AI Engineer with 8+ years of experience building and scaling production SaaS platforms across AI, healthcare, fintech, and cybersecurity. I combine strong full-stack engineering skills with practical AI expertise to turn complex business requirements into reliable, scalable products.

My core technologies include Python, TypeScript, JavaScript, React, Next.js, Node.js, FastAPI, and PostgreSQL. I have hands-on experience designing backend services, REST and GraphQL APIs, database architectures, distributed systems, and responsive user interfaces. I take ownership of features from requirements and system design through development, testing, deployment, and production support.

My AI engineering experience includes LLM-powered applications, RAG pipelines, conversational AI, AI integrations, and intelligent workflow automation using OpenAI APIs and Anthropic Claude. At ODAIA, I worked on an AI-powered pharmaceutical intelligence platform, developing predictive insight dashboards, healthcare professional profiles, next-best-action recommendations, conversational workflows, and CRM integrations with Veeva CRM and Salesforce.

My background also includes digital banking features for payments, automated bookkeeping, expense management, financial reporting, cash-flow analytics, and tax estimation, as well as enterprise cybersecurity software for threat investigation, endpoint monitoring, and incident response.

I care about building maintainable software that performs reliably in production. My experience includes system design, API development, database optimization, automated testing, debugging, edge-case handling, cloud infrastructure, and CI/CD. I have also contributed to architecture discussions, code reviews, technical decisions, and mentoring engineers.

I use Claude Code, Cursor, and GitHub Copilot to accelerate development, explore codebases, refactor code, debug issues, and generate tests while validating outputs for correctness and reliability.

I work closely with product managers, designers, data scientists, and engineering teams to deliver features that solve real problems and create business value. I am especially interested in AI-native products, AI agents, intelligent automation, and challenging engineering problems where thoughtful AI implementation meets strong software engineering.