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.
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, with evals running in CI/CD as a release gate, 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.
Pioneered and led the adoption of modular AI agent and workflow patterns across the organization. Escalated and resolved production API defects directly with Microsoft engineering teams, protecting SLA-critical enterprise workflows. 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.
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.
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.
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.
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.
Focused on software engineering, distributed systems, and core computer science fundamentals.
• AWS Certified Cloud Practitioner
• Agile Scrum Master (Level 2)
• Winner: Barclays OpenMinds Hackathon