● open to Software / AI engineering roles

Ikechukwu Friday builds AI systems that answer from real data, and the backends that carry them.

Software / AI Engineer building agentic AI, RAG and MCP systems, deployed to production on AWS, GCP, Azure and Vercel: scalable, secure and observable. Previously at Uplanit, Penaid and Econnect Netpower.

$69M+
in loans processed on a backend he built
20,000+
pensioners and students served
5
engineers led to launch Timbuktu
−40%
bugs after introducing CI/CD

Selected work

ls projects/ — 6 files
[Timbuktu screenshot]
uplanit · 2024–2026 · AI

Timbuktu

An AI-powered e-learning platform of short, expert-built courses with a points-based learning and rewards model. Its student-support assistant moved from RAG to MCP, so it answers from live course and learner data.

Visit project →
[Penaid loan platform screenshot]
penaid · 2021–2024 · fintech

Penaid loan platform

The Node.js and MongoDB backend of a loan-management platform serving 20,000+ pensioners and students, with over $69M in loans processed.

Visit project →
[Keysha.ai screenshot]
independent contract · contract · AI

Keysha.ai

An intelligent virtual assistant that streamlines scheduling and time management for individuals and corporate managers using AI-driven automation.

Visit project →

Production & enterprise AI

deploy --targets

Deploy anywhere

Ships AI services to the cloud the business already runs on.

AWSGCPAzureVercel

MLOps & managed AI

Model training, hosting and delivery pipelines on managed platforms.

Amazon BedrockSageMakerCI/CD for modelsDockerKubernetesTerraform

RAG, agents & MCP

Grounded assistants and multi-step agents that call real systems.

RAGAgentsMCPLangGraphOpenAI Agents SDKCrewAIGoogle ADK

Scalable, secure, observable

Built for production load, locked down, and measurable once live.

ScalabilitySecurity (M.Sc.)Observability

Capabilities

From the model layer to the pipeline that ships it.

├─ agent frameworks
LangGraph · OpenAI Agents SDK · CrewAI · Google ADK · MCP · AI SDK
├─ ai & retrieval
RAG · Pinecone · pgvector · scikit-learn · Pandas · NumPy
├─ backend
Python · FastAPI · Node.js · NestJS · TypeScript · REST · GraphQL
├─ production ai & mlops
Amazon Bedrock · SageMaker · MLOps · scalable · secure · observable
├─ cloud & devops
AWS · GCP · Azure · Vercel · Docker · Kubernetes · Terraform · GitHub Actions · Cloudflare
├─ data & messaging
PostgreSQL · MongoDB · Redis · Kafka · RabbitMQ · Firebase
├─ security
M.Sc. Cybersecurity · ML intrusion detection
└─ ways of working
Team leadership · Mentoring · Stakeholder translation · Code review

Career

git log --career --oneline
a3f9c12024 — 2026Software / AI Engineer, Uplanit — led five engineers to launch Timbuktu; architected its RAG-then-MCP AI assistant
e51d072025 — 2026M.Sc. Cybersecurity, University of Sunderland — research: ML-based detection of Slowloris DDoS attacks
7be20d2021 — 2024Senior Software Engineer, Penaid — built the loan platform backend; $69M+ processed, 35% fewer production bugs
0c41e82021 — 2024Lead Software Engineer, Econnect Netpower — migrated legacy systems to Node.js, cutting maintenance costs 25%; mentored juniors
init2013 — 2017B.Sc. Computer Science, Nnamdi Azikiwe University
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