Connor Byrne
Open to work6 years experienceSenior AI Product Engineer
Senior AI Product Engineer | Full-Stack AI Engineer | AI Software Engineer
Standing Rank
Rank Not Available
Developer Badges
Skills & Technologies
35 skillsGitHub Activity Evidence
GitHub Footprint Not Connected
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Work Experience
Senior AI Product Engineer
Userflow
- Owned the end-to-end delivery of AI-powered product features, from product discovery and technical design to production deployment
- Designed and developed LLM-powered onboarding experiences that enhanced customer adoption and product engagement
- Engineered context-aware AI systems using Retrieval-Augmented Generation (RAG), combining product documentation, user context, and knowledge-base data to deliver relevant responses
- Built scalable backend services and APIs integrating LLM capabilities with existing SaaS applications and business workflows
- Developed AI automation solutions that streamlined internal processes and improved operational efficiency
- Improved production AI quality through prompt engineering, evaluation workflows, monitoring, and iterative experimentation
- Collaborated with Product Managers, Designers, and Engineers in a remote-first, asynchronous environment to deliver customer- facing features
- Contributed to software architecture, technical planning, code reviews, production support, and continuous product improvement
Full-Stack Engineer → AI Engineer
Livestorm
- Developed and maintained customer-facing SaaS features across frontend and backend systems using modern full-stack technologies
- Designed and implemented scalable REST APIs and backend services supporting high-volume webinar and collaboration workflows
- Improved application performance, scalability, and reliability through backend optimization and software architecture improvements
- Delivered new product features from technical design through testing, deployment, and production support
- Contributed to AI-powered automation initiatives focused on intelligent content generation and workflow optimization
- Worked closely with distributed engineering teams using Agile development practices to deliver reliable cloud-based software
- Participated in code reviews, debugging, monitoring, and continuous improvement of production systems
Software Developer
NearForm
- Delivered enterprise-grade web applications and backend services for multiple client projects using JavaScript and TypeScript
- Designed and developed scalable full-stack applications and REST APIs following modern software engineering practices
- Contributed to software architecture discussions, cloud deployments, CI/CD pipelines, and peer code reviews
- Collaborated with remote client teams to deliver production-ready software aligned with technical and business requirements
- Participated throughout the Software Development Lifecycle (SDLC), including planning, development, testing, deployment, and maintenance
Projects
AI Knowledge Assistant (Retrieval-Augmented Generation Platform)
- Designed and built a production-style AI knowledge platform enabling intelligent search across enterprise documentation using Generative AI and Retrieval-Augmented Generation (RAG)
- Architected an end-to-end RAG pipeline supporting intelligent knowledge retrieval
- Built document ingestion, preprocessing, embedding generation, vector indexing, semantic search, and retrieval orchestration
- Integrated LLM APIs with enterprise knowledge bases to generate accurate, context-aware responses
- Developed scalable backend APIs and a React-based frontend for AI-assisted knowledge discovery
- Applied prompt engineering, retrieval optimization, and LLM evaluation techniques to improve answer quality
- Designed cloud-native deployment architecture supporting scalable production environments
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Enhanced Onboarding Experience
Increased customer adoption by 20% through LLM-powered onboarding experiences deployment.
Streamlined Internal Processes
Reduced process time by 30% with AI automation, improving efficiency.
Performance Enhancement Success
Boosted application performance by 40% with architectural optimization and backend improvements.
High System Reliability
Achieved 99.9% system reliability through robust design and monitoring techniques.
About Details
Professional Bio
Senior AI Product Engineer with 6+ years of software engineering experience and 4+ years building AI-powered SaaS products. Specialized in LLMs, RAG, prompt engineering, AI automation, and scalable web applications. Proven ability to own products from discovery through production.
Bachelor of Science (Honours) in Computing - Software Development
National College of Ireland (2016 - 2020)