Available for opportunities

Hi, I'm Kyle Haggarty
Senior AI & Software Engineer

Over 9 years of experience engineering high-performance backend systems and data-intensive architectures. Specializing in production-grade agentic AI orchestration, reliable LLM workflows, and cloud automation.

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About

I am a Senior Software Engineer and Tech Lead with over 9 years' experience designing high-performance backend systems and cloud infrastructure. Currently, I specialize in the reliability, evaluation, and scaling of production-ready AI agent architectures.

At JP Morgan Chase & Co., I pioneered the adoption of modular AI agent patterns, context engineering, and deterministic evaluation frameworks to build enterprise-grade workflows. My background blends deep financial systems experience (scaling real-time risk engines and data pipelines at Barclays and JP Morgan) with modern AI engineering practices, focused on security, compliance, and developer enablement.

Outside of professional systems engineering, I build open-source automation tools, competitively game, and golf.

AI Agent Orchestration (DAG) Human-in-the-Loop (HITL) Model Context Protocol (MCP) Evaluation Frameworks State Resume & Replays LLM Telemetry & Costing n8n Automation Pipelines Product Ownership Stakeholder Management Project Delivery Java (JVM) Python C# GoLang SQL & KQL Distributed Systems TDD / BDD AWS Azure GCP Cloud Breakglass JIT Access Terraform & IaC Docker & K8s Git
Experience
Work History
Aug 2022 — Present

Senior Software Engineer / Tech Lead

JP Morgan Chase & Co.

Pioneered and led the adoption of modular AI agent and workflow patterns across the organization. Architected a global AWS Region Enablement framework using Terraform, reducing environment provisioning times by 72%. Implemented Azure Privileged Access Management (PAM) for secure SRE workflows, and developed developer-focused CLI tooling in Go and Python.

Jul 2021 — Aug 2022

Software Engineer (Equities Market Risk)

JP Morgan Chase & Co.

Optimized a high-throughput C#/.NET scenario forecasting and market risk engine used directly by trading desks. Engineered low-latency batch processing pipelines for complex financial instruments and developed core REST APIs for risk calculation.

Apr 2019 — Jun 2021

Technical Architect & Co-Founder

Unnamed Startup (Asset Management)

Designed the high-level architecture and MVP for a sustainability-focused digital asset management platform. Established cloud-native infrastructure foundations including transactional storage, backend APIs, and isolated compute for portfolio valuation and risk modeling.

Feb 2016 — Apr 2019

Backend Developer (Market Risk)

Barclays Investment Bank

Developed backend REST services for CCAR risk reporting and built big data ingestion pipelines with Hadoop clusters. Created custom C# automation tools to deploy Quant libraries across 60+ distinct environments, eliminating manual tasks.

Sep 2014 — Feb 2016

Graduate Software Developer

Barclays Investment Bank

Implemented Kerberos-based authentication within Java/Maven applications. Authored SQL procedures for high-volume trade validation and engineered custom tools to debug and manage message queues.

Education & Credentials
Background
2011 — 2015

BSc Computer Science

University of Strathclyde

Focused on software engineering, distributed systems, and core computer science fundamentals.

Certifications

Professional Credentials

• AWS Certified Cloud Practitioner
• Agile Scrum Master (Level 2)
• Winner: Barclays OpenMinds Hackathon