Looking for a job

usman bamidele

@usmanbamidele

AI systems architect building an 11-agent LLM consensus engine and quantitative execution platform with a 240-test green suite.

Nigeria

Message

At the stealth, pre-launch Quantitative Execution Platform, I architected and shipped an AI-powered trading system connecting an 11-agent LLM consensus swarm to a deterministic C++/Rust risk kernel and live broker execution gateway.

I designed autonomous profit-protection daemons that run every second and built a cross-platform Flutter/Dart operator terminal. The platform’s 240-test suite remained 100% green across feature branches.

On Synapse-Orchestrator, I designed an 11-agent evaluation system across Sentiment, Strategy, and Math rooms. It requires a 92% weighted consensus before authorizing downstream signals.

In distributed AI tools and agentic infrastructure work, I designed and evaluated LLM systems for trajectory correctness and adversarial robustness. I also built asynchronous Python microservices using event-driven Redis pub/sub, reducing worker latency by more than 80%.

Experience

Work history, roles, and key accomplishments

Current

Lead AI Systems Architect

Current

Quantitative Execution Platform

Jan 2023 - Present (3 years 8 months)

Architected and shipped an end-to-end AI-powered quantitative trading system, including an 11-agent LLM consensus swarm, deterministic risk kernel, real-time Flutter operator terminal, and live broker execution gateway. Designed autonomous profit-protection daemons and maintained a 100% green test suite with 240 tests.

Multi agent orchestration LLM Consensus C++Rust Flutter Provider Python fastAPI Pydantic Redis Pytest Docker GitHub Actions

AI Systems Engineer & Evaluator

Distributed AI Tools & Agentic Infrastructure

Jan 2021 - Dec 2023 (2 years 11 months)

Designed and evaluated multi-agent LLM systems for trajectory correctness, output determinism, and adversarial robustness. Built asynchronous Python microservices with event-driven Redis pub/sub, reducing worker latency by over 80%.

Multi Agent LLM Python AsyncIO Redis Pub Sub Microservices Pytest Concurrency Event Driven Architecture

Education

Degrees, certifications, and relevant coursework

University

B.Sc., Mathematics

Pursuing a Bachelor of Science in Mathematics with core coursework in Linear Algebra, Probability Theory, Numerical Analysis, and Calculus, directly applied to quantitative risk modelling and statistical outlier detection in production systems.