AI/ML & Software Engineer
Python · FastAPI · Agentic systems · Data pipelines · Production automation
I build AI and backend systems that move from working prototype to reliable software.
- Analyst at Flutterwave with an engineering scope spanning Python data pipelines, intelligent automation, analytics, and document processing.
- Co-founder and engineer building PEER+, with responsibility across full-stack delivery, security, and operational reliability.
- Focused on production-oriented LLM applications: tool use, retrieval, structured outputs, testing, fallback behavior, and failure recovery.
- Based in Lagos and currently in Winnipeg through August 2026. Open to global remote roles, contracts, and suitable relocation.
| Project | What it demonstrates | Stack |
|---|---|---|
| AI-Powered Trading Journal Agent | Multi-agent backend that ingests multimodal trading journals, extracts structured trade data, and produces asynchronous coaching reports. | Python, FastAPI, LangGraph, Gemini, AWS Lambda, SQS, DynamoDB, Terraform |
| TalkDoc | Document question answering over PDF, DOCX, TXT, and Markdown with source and page tracking and local model inference. | LangChain, Pinecone, Ollama, Streamlit |
| Customer Support Agent | Grounded support assistant with retrieval, tool calling, conversation memory, tests, and fallback behavior. | OpenAI Agents SDK, FastAPI, PostgreSQL, Redis |
- AI engineering: agentic workflows, retrieval-augmented generation, tool calling, prompt and context design, structured outputs
- Backend and data: Python, FastAPI, SQL, PostgreSQL, Redis, REST APIs, ETL pipelines
- Delivery: Docker, AWS, Terraform, GitHub Actions, testing, debugging, observability-minded system design