Charles-Lawrence Lide
@charles-lawrencelide
I build secure agentic AI and distributed systems for financial and workforce platforms.
What I'm looking for
I've built production AI, payments, fraud, and workforce platforms at Deel, Rogo, Stripe, and Socure. At Deel, I own distributed agent-state pipelines and retrieval architecture supporting hiring, compliance, and tax workflows across 150+ countries.
At Rogo, I designed secure agentic AI infrastructure for investment banking and private equity, combining auditable RAG, financial-data connectors, multi-agent Python pipelines, and MNPI protections. Previously at Stripe, I built Python and Go services for real-time payment-risk evaluation across millions of global merchants, alongside React observability tools for live ML behavior.
I bring deep experience in React, TypeScript, Python, Go, retrieval systems, APIs, real-time processing, and enterprise AI security. I focus on making complex AI reasoning operationally useful through reliable interfaces, validation, auditability, and scalable infrastructure.
Experience
Work history, roles, and key accomplishments
Owned architecture of distributed agent-state pipelines for global workforce workflows across 150+ countries. Architected multi-agent communication layers and drove retrieval architecture overhaul using hybrid search and pgvector.
Senior AI Engineer
Rogo
Mar 2022 - Apr 2026 (4 years 1 month)
Designed the architecture of a secure agentic AI platform for investment banking and private equity, including model-agnostic routing, RAG with source-level citations, and multi-agent pipelines for financial reasoning. Built security boundaries to block MNPI and document transformation services for XLSX/PPTX deliverables.
Designed core Python/Go architecture connecting data-science workflows with production realtime payment-risk services. Owned fault-tolerant service boundaries and RPC pipelines, architected high-throughput feature-processing flows, and built React-based observability dashboards.
Built modular React components, forms, and visualization widgets for multidimensional fraud-risk analysis, including identity and device intelligence. Designed Redux state architecture and asynchronous middleware for deeply nested identity attributes, dynamic variables, and background API workloads.
Education
Degrees, certifications, and relevant coursework
Full Sail University
Bachelor of Science, Computer Science
Bachelor of Science in Computer Science from Full Sail University.
Availability
Location
Authorized to work in
Job categories
Skills
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