Resume
Gayathri Santhanakrishnan Narayanan
AI Engineer - LLM & Agentic Systems
UK · Relocating within Europe · Available Oct 2026 · Open to visa sponsorship
Summary
AI Engineer and technical lead with 8+ years of enterprise software engineering, including 3+ years building the production platforms and services that AI and intelligent-automation workflows run on. Currently completing an MSc in Artificial Intelligence and Machine Learning at the University of Birmingham. Designs, builds, and deploys AI applications end-to-end, LLM agents with tool calling and orchestration (LangGraph), retrieval systems with evaluation harnesses, and guardrailed copilots shipped as secure, containerised services running live on Microsoft Azure. Strong background in enterprise integration, cloud-native architecture, and leading engineering teams, with a focus on making AI reliable, governed, and cost-aware in production.
Experience
AI Engineer Intern · Kusnierz Consolidated Manufacturing Ltd.
Dec 2023 - Aug 2025- Building an LLM pipeline that constructs a knowledge graph of claims, assumptions, and evidence from technical documents, with a confidentiality-aware router that keeps sensitive documents on a local LLM (Qwen) while sending non-sensitive ones to a cloud model (Gemini).
- Extracting and linking claims to supporting/contradicting evidence (retrieval + NLI) and storing them in a SQLite/graph evidence map with per-claim status (proven/assumed/contradicted/missing).
- Developing an evaluation harness measuring extraction precision/recall/F1 against a human-labelled gold set, plus systems-correctness checks including a verifiable routing-safety guarantee (no confidential document ever reaches the cloud).
Team Lead · Accenture
Dec 2023 - Aug 2025- Built the platform layer for enterprise AI reusable Python APIs and secure backend services enabling AI workflows, orchestration, and data access across multiple enterprise systems.
- Led the migration of 40+ APIs to Azure Integration Services, replacing ageing integration layers that were constraining scale improving performance and reliability across connected systems.
- Shipped production cloud services with authentication, monitoring, logging, CI/CD, and governance controls, meeting the security and audit requirements of regulated clients in finance, healthcare, and utilities.
- Partnered with solution architects and business stakeholders to identify AI-automation opportunities and turn ambiguous requirements into technical designs that shipped.
- Led and mentored a team of software engineers, setting engineering standards through code reviews and knowledge sharing.
Senior Software Engineer · Accenture
Dec 2020 - Nov 2023- Built the secure backend services and data pipelines underpinning intelligent-automation initiatives, the platform layer those workflows ran on.
- Architected API-led integrations across Azure and MuleSoft (100+ over tenure), connecting enterprise systems, including Salesforce, PeopleSoft, and mainframe, that previously depended on manual data transfer.
- Designed event-driven architectures on Azure (Service Bus, Logic Apps, Functions), replacing batch processes with real-time, high-throughput data flows.
- Built CI/CD pipelines (Azure DevOps, Jenkins, Maven) with automated testing, code review, and containerised deployment; ran performance benchmarking and load testing to keep services available under peak load.
Application Development Analyst · Accenture
Jun 2018 - Nov 2020- Developed API-led integrations (REST and SOAP) on the MuleSoft Anypoint Platform for a global insurance client (QBE), connecting enterprise systems including Salesforce, PeopleSoft, and mainframe applications via JMS/Active MQ messaging; supported and debugged production integrations affecting live business data flows.
Application Development Associate · Accenture
Nov 2016 - May 2018- Built and tested enterprise integration components on MuleSoft, and carried out major version migrations (Mule 3.8 through 4.4), replacing deprecated components working to client delivery standards
Skills
Education
MSc Artificial Intelligence & Machine Learning
University of Birmingham
BE, Electrical & Electronics Engineering
Panimalar Engineering College, Anna University
Additional
- 2nd place, Healthcare AI Hackathon
- Machine Learning internship, Severn Trent (Feb - Apr 2026)