AnjolaAdeuyi

Senior Full-Stack + AI Engineer, Building production AI systems for Fortune 500 clients. I ship platforms that process millions of transactions daily.

View Work hello@anjolaadeuyi.com

Based in Paris

Open to remote work

AI Systems + FullStack

RAG, agents, benchmarks

Currently available

Starting

8+ Years Experience

Systems Architect

50+ engineers served

Recent Work

View all

RAG Platform

Vector‑backed Retrieval

Hybrid search, chunking, schema‑aware re‑ranking, observability.

Agents

Agent Orchestrator

Multi‑tool planning, retries, guardrails, tracing via OpenTelemetry.

Developer UX

Code Copilot

Inline suggestions, context windows, evals, and latency budgets.

Data Pipeline

Real‑time Analytics

Streaming data processing with Apache Kafka and real‑time dashboards.

Machine Learning

Custom Model Training

Fine‑tuned transformers for domain‑specific tasks with custom datasets.

API Architecture

Scalable Backend

Microservices architecture with GraphQL, Redis caching, and auto‑scaling.

Clients

I've worked on products for the following clients and more

Safran

Huawei

Elastic

Andela

GitStart

Andera AI

Aitenders

Jenni AI

First Resonance

Novu

Rebill

Whop

PostHog

Appsmith

Parabol

Goodcall

Instrumental

Lightdash

ToolJet

MakeYourStats

Workflow

Qwik

Chakra UI

Material UI

Block Protocol

Budibase

Lens

Filecoin Saturn

PlugLink

Zaui

Mergestat

Hash AI

Hive

Flanksource

Wave

Tech Stack

Frontend & UI

TypeScriptNext.js 14React 18Tailwind CSSFramer Motion

AI & Backend

Python 3.11+FastAPILangChainOpenAI APIClaude APIvLLMOllama

Focus areas: RAG optimization, agentic workflows, prompt engineering, model evaluation, and production-ready AI systems with sub-second latency.

RAG Pipeline

~42 lines

from fastapi import FastAPI
from rag import embed, search, rerank, answer
from tracers import trace

app = FastAPI()

@app.post("/ask")
@trace("ask")
def ask(q: str, user_id: str):
    q_vec = embed(q)
    chunks = search(q_vec, k=20, filters={"user": user_id})
    ranked = rerank(q, chunks)[:6]
    return answer(q, ranked, tools=["browser", "code"], guardrails=True)

Timeline

2025
Software Engineer — Safran, France
Led design for data visualization platform, shipped ML-powered insights dashboard used by 10k+ analysts.
2021 — 2025
Team Lead — GitStart YC S19, USA
Building production AI systems, RAG pipelines, and agentic workflows for startups and enterprise teams.
2024 — 2024
AI Engineer — Aitenders, France
Building production AI systems, RAG pipelines, and agentic workflows for startups and enterprise teams.
2019 — 2021
Team Lead — PlugLink
Built responsive e-commerce platform with React/Node.js, optimized for mobile conversion and performance.
2019 — 2020
Software Engineer — Andela
2018 — 2019
DevOp Engineer — Huawei

Model Evals

Continuous evaluation of prompts, tools, and retrieval quality across production workloads.

Pass@1 by model (weekly)

Live data

Current best

82%

+4% this week

Context win

+10% RAG

vs baseline

Latency p95

780ms

Within SLA

Eval Categories

Code generation87%

Q&A retrieval82%

Tool usage76%

Reasoning73%

Recent Tests

GPT-4o prompt optimization

2 hours ago

Claude-3.5 tool calling

6 hours ago

RAG chunk size A/B test

12 hours ago

Evaluation Framework

1,247 total tests

Automated testing pipeline with custom metrics, human feedback loops, and A/B testing. Tracks accuracy, hallucination rates, tool usage effectiveness, and user satisfaction scores across different model versions and prompt templates.

About

I build AI products end‑to‑end: data ingestion, retrieval, prompt/tooling, evals, and production UI. Pragmatic about latency, cost, and safety — with strong attention to developer experience.

Years

120+

Projects

50+

Clients

Currently learning

Structured outputs, memory architectures and low‑latency tool use with vLLM + GPU batching.

Let's collaborate

Build with AJ.

hello@anjolaadeuyi.com

Schedule

Book a call

Social