Senior Full-Stack Engineer & AI Systems Developer with 7+ years building scalable platforms across:
- Artificial Intelligence
- Fintech
- SaaS
- Enterprise Software
- Cloud Infrastructure
I specialize in designing systems that move from:
Concept → Architecture → Production → Global Scale
Architecture:
- RAG retrieval pipeline
- embeddings vector search
- LLM response generation
- conversation memory layer
Use cases
- knowledge assistants
- enterprise AI search
- AI copilots
Features
- predictive sales models
- market trend detection
- ML forecasting pipelines
https://market-mind-frontend.vercel.app
Capabilities
- natural language support
- workflow automation
- AI decision support
Active experimentation in:
- fine-tuning transformer models
- retrieval augmented generation
- vector search optimization
- survival prediction models
- retail sales forecasting
- AI vs human generated images
- scalable LLM inference
- AI microservices
- distributed ML pipelines
flowchart TD
User --> API
API --> EmbeddingModel
EmbeddingModel --> VectorDB
VectorDB --> Retriever
Retriever --> LLM
LLM --> Response
Response --> User
flowchart TD
Client --> CDN
CDN --> LoadBalancer
LoadBalancer --> APICluster
APICluster --> Database
APICluster --> Cache
APICluster --> MessageQueue
MessageQueue --> WorkerCluster
WorkerCluster --> Storage
Your best repositories appear automatically in pinned projects.
Recommended pinned repositories:
- AI platform
- LLM tooling
- distributed backend
- machine learning experiments
- cloud infrastructure
Focus areas:
- developer infrastructure
- backend architecture
- AI engineering patterns
- distributed system design
- English
- Igbo
- Hausa
ukweheverest@gmail.com
linkedin.com/in/ukweheverest
Portfolio
relativity-codes.vercel.app
Great systems scale quietly.
The best architecture
solves today's problems
while anticipating tomorrow's complexity.
2016 — Software Engineering Career Begins
2022 — Programming & Cybersecurity Instructor
2023 — Lead Developer (Walkre Platform)
2024 — Full-Stack Engineer (Enterprise SaaS)
2025 — AI / Machine Learning Engineer
Present — Building AI Systems & Scalable Platforms
Building AI-powered platforms and intelligent systems that scale globally and solve real-world problems.