Who is Victor Kola Omolaiye / iamvictorok?

Victor Kola Omolaiye is an AI Solutions Engineer also known as iamvictorok / iamvictor / iamvic / victorok. Portfolio and contact: https://iamvictorok.com/

What does an AI Solutions Engineer do?

Victor Kola Omolaiye designs, implements, and ships production AI systems — especially RAG pipelines, multi-agent architectures, and LLM infrastructure — not just demos.

Where can I hire Victor for AI engineering work?

Visit https://iamvictorok.com/contact or book a free AI Opportunity Assessment at https://iamvictorok.com/ai-assessment.

Does Victor build AI tools for NGOs and international development?

Yes. Victor Kola Omolaiye has built AI systems for public health (DHIS2 analytics), education (adaptive tutoring platforms), and knowledge management for mission-driven organisations. He specialises in offline-first, privacy-compliant architectures suitable for low-connectivity environments.

Can Victor build AI for EdTech and e-learning?

Yes. Victor Kola Omolaiye built Student Copilot (RAG-grounded adaptive tutoring) and Teacher Co-Pilot (AI lesson planning) — both production systems. He specialises in hallucination-free educational AI grounded in verified curriculum data.

Does Victor work with organisations outside the US and UK?

Victor Kola Omolaiye is remote-first and serves clients across Africa, the Middle East, Asia-Pacific, and Europe — particularly in South Africa, Kenya, UAE, Singapore, and Canada. Book a call at https://iamvictorok.com/ai-assessment.

Victor Kola Omolaiye

AI Solutions Engineer

Currently shipping production RAG systems & AI features

Open to remote AI/ML engineering roles and Consulting

I build production-grade RAG pipelines, LLM orchestration systems, and multi-agent architectures for EdTech, public health, and mission-driven teams. My work focuses on accurate retrieval, privacy-conscious design, and dependable systems that scale.

Available for AI Solutions Engineer / AI Engineer roles, RAG systems, and practical technical advisory.

Not sure where AI fits in your business? Start with a free AI Opportunity Assessment Start

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About

AI Solutions Engineer based in Abuja, Nigeria, building production generative-AI systems across EdTech, Startup, public health, and NGO contexts. I specialise in RAG architecture, retrieval quality, LLM orchestration, multi-tenant access control, and deployment observability. My work includes secure knowledge assistants, adaptive learning platforms, offline-first AI tools, and privacy-first workflows that keep sensitive data local or sanitised before it reaches an external model.

How I can help

From an AI idea to a dependable system.

Clear engagement areas for teams hiring an engineer or bringing in focused technical support.

01 / Build

Applied AI systems

Production-minded AI features, from retrieval pipelines to useful product experiences.

02 / Improve

RAG architecture

Grounded retrieval, evaluation, and system design that make AI answers more reliable.

03 / Advise

Technical direction

A practical path from an ambiguous opportunity to an implementable, maintainable plan.

Selected Work

Featured Projects

A selection of my best work.

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TC Python 3.11

Teacher Co-Pilot: AI-Powered Lesson Planning Platform

Teacher Co-Pilot automates the creation of curriculum-aligned lesson plans and assessment materials for secondary education, significantly reducing administrative overhead through an AI-driven, LLM-as-judge pipeline.

Python 3.11 FastAPI Uvicorn Supabase +12

View project

SP Python 3.11+

Student_copilot: Privacy-First Adaptive Tutoring Platform

Student_copilot is a scalable, RAG-enabled tutoring platform that delivers personalized, factually accurate instruction by grounding AI responses in verified curriculum data. The system utilizes a dual-tier chunking architecture and longitudinal student profiling to eliminate hallucinations and adapt to individual learning modalities.

Python 3.11+ FastAPI Pydantic React 18 +15

View project

IM Python

IntelliPlug: Multi-Tenant Hybrid RAG Support Platform

A production-grade, multi-tenant AI support platform that leverages hybrid Retrieval-Augmented Generation (RAG) to convert internal documentation into actionable customer support. The system delivers high-recall responses via integrated dense/sparse vector search, local reranking, and omnichannel social media connectivity.

Python FastAPI Next.js TypeScript +11

View project

AK Python

AI4AI Knowledge Assistant: Secure Enterprise RAG Platform

An enterprise-grade Retrieval-Augmented Generation (RAG) platform that centralizes fragmented internal data while enforcing granular role-based access control. It optimizes organizational workflows by providing secure, grounded AI assistance and automated support ticket routing.

Python FastAPI Uvicorn LangChain +14

View project

View all projects

Connected Work

Explore my work by technology

A living map of my projects and the tools and domains they span.

Project — click to open Technology / domain Drag nodes to rearrange · hover to trace connections

Expertise

Skills & Technologies

Tools and frameworks I use to build.

Backend & APIs

FastAPI REST API Design PostgreSQL Supabase SQLModel Redis

Cloud & Infrastructure

Docker AWS S3 Azure AI Foundry DigitalOcean Cloudflare R2 CI/CD

Languages

Python SQL TypeScript (Next.js)

LLM Engineering

RAG Pipeline Design LLM Orchestration Prompt Engineering LangChain LangGraph CrewAI Multi-tenant Architecture RBAC/ABAC

Models & AI

OpenAI Google Gemini Azure OpenAI Hugging Face Transformers BERT TensorFlow Scikit-learn YOLOv8

Monitoring & Quality

Prometheus Grafana Model Evaluation Metrics Performance Profiling Data Privacy Documentation

Vector & Retrieval

Pinecone FAISS Milvus Chroma pgvector Hybrid Retrieval (RRF) Cross-Encoder Reranking BGE-M3 FlashRank

Version Control

Git GitHub

Career

Experience

My professional journey.

Prompt Engineering Course Developer and Tutor

Stringify • Mar 2026 – Present

Developed a prompt engineering course for business leaders, career professionals, students, and tech-adjacent professionals.
Deliver the course in cohorts on a contract basis.

Prompt Engineering Course Development Training

AI/ML Engineer

Algorythme • Nov 2025 – Present

Designed a multi-tenant EdTech content-generation platform with FastAPI, Supabase, and Gemini, reducing curriculum-aligned lesson and assessment production from weeks to minutes.
Architected a two-tier RAG pipeline using 400-character semantic child vectors in Pinecone hydrated from 2,500-character Redis parent payloads, anchoring responses to verified material and reducing hallucination.
Engineered a longitudinal AI profiling engine that analyses chat transcripts and updates Redis profiles to adapt LLM pedagogy across sessions.
Hardened pipelines against adversarial input with PBKDF2-HMAC authentication, JWT validation, Pydantic regex sanitisation, and Redis rate limiting.

Python FastAPI LangChain Pinecone Redis Gemini OpenAI PostgreSQL Docker

AI/ML Engineer

African Institute for Artificial Intelligence (AI4AI) • Feb 2025 – Oct 2025

Deployed a secure multi-tenant RAG Knowledge Assistant with LangChain, Pinecone, AWS S3, and PostgreSQL, enforcing RBAC/ABAC controls with zero cross-tenant data leakage.
Built an AI timetable scheduler for an NP-hard academic scheduling problem; greedy initialisation cut conflict rates by more than 70%, while conflict-directed mutation converged to zero-conflict schedules.
Set up containerised deployment infrastructure with Docker, Prometheus/Grafana monitoring, and incident runbooks for production observability.
Designed a mentorship-matching recommender across structured and unstructured profile attributes.

Python FastAPI LangChain Pinecone AWS S3 PostgreSQL Redis Docker Prometheus Grafana

AI Engineer

Mensah Philosophic Circle • Jan 2025 – Aug 2025

Co-developed Hey Nova AI, an Azure OpenAI educational agent with live internet access, Azure AI Search, Redis, automated summarisation, and question generation.
Designed a YOLOv8/InceptionResNet premises-security prototype that achieved more than 90% detection accuracy, with FAISS-backed audit-trail retrieval.

Python FastAPI Azure OpenAI Azure AI Search Redis YOLOv8 InceptionResNet FAISS

Machine Learning Engineer Intern

Zummit Africa • Jan 2024 – Jun 2024

Built a zero-shot content-moderation proof of concept with Hugging Face BERT-family models, validating zero-shot classification as a scalable, label-free alternative to supervised pipelines.
Developed retraining pipelines and evaluation scripts using accuracy, precision, recall, and F1-score.

Python Hugging Face Transformers BERT Scikit-learn Pandas

Let's build something together.

Interested in working together or have a question? Feel free to reach out.

Get in touch