LLM & AI Systems
RAG systems, multi-agent workflows, AI agents, structured outputs, tool-calling, and production LLM pipelines.
AI Engineer / Data Engineer / Founder
AI Engineer building production LLM systems and data platforms.
I design and ship AI-powered systems that turn complex data, workflows, and user intent into production-ready products.
4+ years
Engineering experience
Production AI
LLM systems shipped
iOS & Android
Product launched
Founder & Builder
Ginja / Aixelar
intent = parse(user_brain_dump)
plan = arc.adapt(intent, progress)
tasks = llm.tools.schedule(plan)
ship(product, data, ai)
OpenAI
FastAPI
Databricks
Supabase
About
Production-minded AI and data engineering.
I'm Emmanuel Onwubuya, an AI/Data Engineer with 4+ years of experience building production data platforms, LLM-powered applications, RAG systems, multi-agent workflows, and cloud-based analytics systems.
I work across Databricks, PySpark, Supabase, FastAPI, OpenAI APIs, LangChain/LangGraph, Azure, AWS, and GCP. Beyond engineering roles, I also build and launch real AI products, including Ginja, an adaptive AI productivity app live on iOS and Android.
What I Build
Systems that move from idea to production.
Data Platforms
Databricks, PySpark, Medallion architecture, ETL pipelines, analytics layers, and cloud data systems.
AI Product Engineering
End-to-end AI products across mobile, backend, databases, subscriptions, analytics, and deployment.
Automation & Internal Tools
AI-powered workflows, dashboards, business process automation, and natural-language interfaces.
4+ years engineering experience
Production AI systems
iOS & Android product launched
Databricks / LLM / Cloud infrastructure
Experience
Enterprise data foundations, modern AI layers.
Data & AI Engineer — Wefra Life
At Wefra Life, I build production AI systems and LLM-powered applications for business intelligence and decision support. My work includes designing multi-agent AI architectures, developing RAG pipelines, implementing structured-output workflows using OpenAI models, and building natural-language interfaces that allow business users to interact with large-scale data using plain English.
I also build the data infrastructure behind these systems, including Databricks-based data platforms, large-scale ETL pipelines, vector search, observability, and AI evaluation workflows.
Data Engineer — Accenture
At Accenture, I built enterprise-scale data platforms and analytics systems for large clients. My work involved designing PySpark pipelines, integrating data from multiple operational systems, building automated ETL workflows, and creating reliable datasets for analytics and machine learning use cases.
This experience gave me a strong foundation in distributed data engineering, production reliability, cloud architecture, and large-scale system design.
Junior Data Engineer
Built foundational data pipelines and contributed to analytics data infrastructure for real estate workflows, strengthening practical experience in cloud systems, SQL, Python, and production data quality.
Projects
Products and platforms with AI at the core.
Live on iOS & Android
Featured Project
Ginja — Adaptive AI Productivity App
Ginja is an AI-powered planning and execution app that turns brain dumps into structured tasks, adaptive goal journeys, shared accountability, and personalized discovery. Its core feature, Arc, creates goal and habit plans that adapt as users make progress or as life changes.
Active
Aixelar — AI Product & Automation Agency
Aixelar is Emmanuel's agency for building AI-powered products, automations, data systems, and modern web/mobile applications for businesses.
Coming Soon
Ufindar — AI University Search Platform
Ufindar is an AI-powered university search platform that will help students discover universities and programs through natural-language search, semantic retrieval, and personalized recommendations.
Skills
A practical toolkit for AI products and data systems.
AI Engineering
Data Engineering
Backend & Cloud
Product Engineering
Contact
Want to build an AI system, data platform, or production-grade AI product? Let's talk.
I work with teams and founders who need reliable AI systems, strong data foundations, and products that can survive real users.