Product engineer — building enterprise-grade utility and customer-facing products at EEDC across multiple regional subsidiaries, and integrating LLMs into both product features and engineering workflows.
React, TypeScript, Next.js, Node.js, PostgreSQL, MongoDB, TanStack (Router/Query/Table/AI/Start), Vercel AI SDK, (Drizzle, Knex.js, Prisma, Mongoose).
Built a multi-tenant meter dispatch system spanning EEDC HoldCo and five SubCo regions. Engineered AI-powered clinical documentation for telehealth visits, combining AWS Chime SDK for video, AWS Transcribe, and LLMs for structured clinical notes. Integrated GPT-4o capabilities into core products using TanStack AI and Vercel AI SDK. Deep background in HR SaaS product engineering.
HealthTech HR SaaS Utility/Energy
- Built internal AI-assisted tooling at EEDC (Enugu Electricity Distribution Company)
- Tools: Vercel AI SDK, TanStack AI
| Frontend | Backend | Data | DevOps |
|---|---|---|---|
| React / Next.js | Node.js / Express | PostgreSQL | AWS |
| TypeScript | Nest.js | MongoDB | Docker |
| Vite | Redis | Prisma / Knex / Drizzle | CI/CD |
| TanStack Query/Router/Table,Start | Better Auth | — | — |
Routing: React Router (early projects) → TanStack Router (current).
const toolbox = {
core: ['TypeScript', 'JavaScript', 'React', 'Node.js'],
frameworks: ['Next.js', 'Express', 'Nest.js'],
data: {
sql: 'PostgreSQL',
noSQL: 'MongoDB',
ORM: ['Knex', 'Drizzle', 'Prisma']
},
infra: ['AWS', 'Docker', 'CI/CD'],
ai: ['Vercel AI SDK', 'TanStack AI']
}- Go for high-concurrency services
