Jerson Pabillo

Senior Full-Stack Engineer and Agentic AI specialist with over a decade of experience building production grade SaaS platforms, agentic AI systems, and enterprise backend architectures. Skilled in designing tool-calling agents, RAG pipelines, multi-step autonomous workflows, and the APIs, data models, and infrastructure that support them at scale. Fluent across Python, TypeScript, Node.js, and React, with deep experience in LangChain, OpenAI and Claude APIs, vector search, prompt engineering, and LLM evaluation.

Agentic AI / LLM Engineer & Full-Stack Developer at Azeus Systems (2024-05 – 2026-04)

Built agentic AI and LLM powered SaaS products for corporate governance, board meetings, document processing, and enterprise knowledge search.

• Architected tool-calling agents that autonomously executed multi-step governance workflows, chaining retrieval, summarization, and task generation across more than twelve document-heavy enterprise processes.
• Built agent orchestration logic in Python and LangChain to plan, route, and recover from failed tool calls, raising end-to-end task completion reliability across production runs.
• Designed and shipped RAG pipelines using embeddings, vector search, and retrieval filtering, with source previewing that let reviewers trace every AI generated answer back to its origin document.
• Created over forty production API endpoints in FastAPI and Node.js handling data ingestion, metadata indexing, access control, structured logging, and asynchronous job processing.
• Established an LLM evaluation harness with curated eval datasets and prompt libraries, measuring output accuracy, formatting adherence, and hallucination rates before each release.
• Engineered production safeguards including retry strategies, response validation, streaming output, and graceful fallbacks when model APIs degraded or timed out.
• Cut average document processing time from nine minutes to under four minutes through smarter batching, caching, and task coordination across the pipeline.
• Built reviewer facing UIs in React and TypeScript for confidence scoring, workflow assignment, document previewing, and agent configuration, replacing fragmented manual tooling.
• Modularized legacy service modules into decoupled domain services, enabling stable, independent delivery of new AI capabilities without regressions.
• Drove rapid delivery using Claude Code and Cursor while retaining ownership of architecture, deployment, and system level decisions.

Backend Developer & LLM Engineer at Accenture (2022-02 – 2024-04)

Delivered cloud-native backend services and early AI automation tools across digital transformation and application modernization programs.

• Built cloud-native backend services in Python and Node.js powering enterprise modernization programs spanning workflow automation and AI driven business platforms.
• Developed REST APIs that ingested customer records, workflow events, document payloads, and integration data across multiple client systems.
• Delivered proof-of-concept LLM automation covering document Q&A, email summarization, content categorization, and internal knowledge retrieval for digital transformation clients.
• Designed and optimized PostgreSQL and MySQL schemas, cutting reporting query time from several minutes to under 20 seconds.
• Integrated early OpenAI API workflows into business platforms, establishing reusable prompt patterns and structured output handling for downstream teams.
• Automated testing and deployment with Docker and GitHub Actions, keeping three deployment environments consistent and reducing release friction.
• Partnered with frontend engineers to define API contracts, error handling standards, pagination rules, and response formats for business dashboards.

Python Backend Engineer at CGI (2020-03 – 2022-02)

Built backend services, APIs, and integrations for enterprise consulting, systems integration, and cloud migration efforts.

• Built backend services in Python with Django, Flask, and FastAPI supporting large-scale consulting and systems integration engagements.
• Implemented REST APIs for user account management, reporting, notifications, file processing, and third-party integrations.
• Tuned database queries and indexing strategies, achieving response times below 500 milliseconds on several high-traffic endpoints.
• Collaborated with business analysts and QA to translate enterprise requirements into tested, documented, production-ready functionality.

Full Stack Developer at Shore360 (2014-09 – 2019-01)

Delivered custom web applications, customer portals, CRM workflows, and business automation tools for offshore client teams.

• Delivered fully integrated web applications for offshore client teams, covering CRM workflows, admin portals, reporting dashboards, and customer-facing sites.
• Built bespoke business tools using PHP, JavaScript, MySQL, and React to replace spreadsheet-driven operations with searchable dashboards.
• Designed responsive front-end interfaces and data entry forms that streamlined daily work for operational teams.
• Integrated third-party services including payments, email, and mapping to achieve complete workflow automation for clients.

Bachelor of Computer Science in Computer Science – Taylor's University (2014)