Evan Pollard
@evanpollard
Senior software engineer delivering reliable SaaS and AI-assisted workflow products.
What I'm looking for
I’m a Senior Software Engineer with 5 years of experience building SaaS, finance, AI-assisted workflow, and customer-service products. I bring a calm, product-minded engineering style that prioritizes reliability, data clarity, user experience, and strong team communication.
I lead backend-heavy full-stack delivery across APIs, event-driven workflows, AI/LLM integrations, data pipelines, frontend contracts, testing, observability, and release readiness. I translate ambiguous business processes into dependable product flows while mentoring engineers, improving architecture, and keeping systems maintainable.
Across my roles, I’ve reduced integration follow-ups and investigation loops by translating complex process states into practical results for teams, strengthening secure event-delivery paths, and stabilizing production around stuck states, queue delays, webhook outcomes, and API latency. I also focus on making AI evidence predictable and safe for end users, turning OCR/RAG/vector search outputs into schema fields that improve reviewer trust and decision-making.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Inscribe AI
Oct 2025 - Mar 2026 (5 months)
Led the lender workflow layer for document review and decision tracking, reducing avoidable integration follow-ups by ~24% and duplicate delivery investigations by ~23%. Architected secure, replay-safe event delivery and end-to-end review/AI intelligence integration, improving production reliability and cutting repeated manual lookup effort by ~30%.
Designed the finance workflow API layer, translating distributed transaction processing into business-ready REST resources. Implemented a replay-safe event model with Kafka and PostgreSQL audit records, reducing recurring investigation loops by ~28% and cutting manual incident inspection time by ~32%.
Optimized real-time conversation delivery across Intercom Messenger and teammate Inbox surfaces, improving load-tested messaging throughput by ~30%. Built automation and answer-assist experiences by connecting Rails flows, Node.js/Express components, OAuth integrations, and AI/LLM (RAG) evidence, reducing triage effort by ~21%.
Education
Degrees, certifications, and relevant coursework
Technological University Dublin
Bachelor of Science, Computer Science
2017 - 2021
BSc in Computer Science at Technological University Dublin (2017–2021).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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