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Olumide Adewole

Full-Stack Developer & AI Engineer

Full-Stack Developer & AI Engineer with 5+ experience delivering scalable, AI-powered platforms using ML models, GPT APIs, and cloud-native stacks. Currently pursuing an MBA in the UK to align deep technical skills with strategic business insight. Seeking roles where I can lead impactful, intelligent product delivery.

Project Experience

Veritas Social

2024 – Present
React NativeNext.jsAI AgentsLarge Language Modelsi18n

Career network for students and grads featuring AI-powered translation and job agents.

  • Nigeria: Student-first career network connecting campuses with career-ready feeds and verified communities.
  • UK & Global: AI-powered chat translation allowing students to message in their native language while friends receive in theirs.
  • AI Job Agents (Beta): Intelligent automation for global career discovery.
  • Mobile Growth: 100+ downloads across iOS and Android platforms.

Landmark AI Agent

2024 – Present
PythonFastAPIGPT-4SupabaseWhatsApp APINext.js

A specialized multi-agent orchestrator for hospitality and enterprise automation.

  • Architected a specialized agentic system using GPT-4 to dynamically route user intents (Bookings, Complaints, Refunds, Enquiries) to dedicated sub-agents, reducing latency by 35%.
  • Engineered a Retrieval-Augmented Generation (RAG) system utilizing vector similarity search (Cosine Similarity) with Supabase (PostgreSQL) and local SQLite fallbacks.
  • Developed a high-availability integration with the WhatsApp Business API featuring automated webhook verification and session-persistent state management.
  • Implemented a secure transactional reliability flow with third-party gateways for zero-loss booking finalization.

Veritas AI

2024 – 2025
Next.js 15FastAPIMongoDB Vector SearchFirebaseStripeGCS

Enterprise RAG platform with multi-tenant SaaS architecture.

  • Architected a RAG system using FastAPI and MongoDB Atlas Vector Search, achieving an 83% reduction in query latency through vector index optimization.
  • Engineered a high-throughput document processing pipeline using Python and GCS, cutting infrastructure costs by 75%.
  • Developed a multi-tenant SaaS architecture supporting organization-scoped RBAC and secure identity management via Firebase.
  • Integrated Stripe Billing & Webhook engine, automating the full subscription lifecycle and maintaining real-time resource limits.
JavaSpring BootNext.jsGPT-4oRedisMongoDB

AI-Powered identity and smart QR platform for restaurants.

  • Integrated GPT-4o to transform natural language prompts into complex QR design configurations, reducing design time by 70%.
  • Implemented GPT-4 Vision for automated menu digitization, achieving 95%+ accuracy in extracting categories and pricing from photos.
  • Developed a scalable microservice architecture in Java/Spring Boot handling redirects with <50ms latency using Redis.
  • Architected a responsive Next.js dashboard supporting real-time scan analytics and batch QR generation (1000+ codes/min).

Professional Experience

Software Engineering Intern

July 2022 – October 2022
Sterling Bank · Marina, Lagos
  • Increased data processing efficiency by 20% by automating data cleaning workflows using Python
  • Enabled clearer decision-making by analyzing asset datasets and building visualizations in Power BI

Artificial Intelligence and Machine Learning Engineer

January 2025 – Present
Tegence AI · Abuja, Nigeria
  • Lead the AI team, overseeing multiple engineers in the delivery of core AI initiatives
  • Spearheading AI projects including recommendation systems and neural translation machines for underrepresented languages
  • Developing AI powered chatbot systems with contextual understanding of user enquiries

Artificial Intelligence Engineer

April 2024 – August 2025
Sabi AM · Victoria Island, Lagos
  • Reduced manual HR workload by 50% by designing and deploying an automated AI-powered HR system
  • Improved product adoption by fine-tuning and integrating custom AI models for smarter user interactions
  • Optimized model performance and deployment speed by implementing efficient training pipelines and production-ready APIs

IT Support Staff

December 2022 – October 2023
Maryland Global Initiatives Corporation · Asokoro, Abuja
  • Improved operational efficiency by providing timely technical support and managing IT assets
  • Reduced hardware replacement costs by diagnosing and repairing IT equipment, increasing lifecycle

Artificial Intelligence and Machine Learning Engineer

January 2025 – September 2025
Tegence AI · Abuja, Nigeria
  • Lead the AI team, overseeing multiple engineers in the delivery of core AI initiatives
  • Spearheading AI projects including recommendation systems and neural translation machines for underrepresented languages
  • Developing AI powered chatbot systems with contextual understanding of user enquiries

Artificial Intelligence Engineer

April 2024 – August 2025
Sabi AM · Victoria Island, Lagos
  • Reduced manual HR workload by 50% by designing and deploying an automated AI-powered HR system
  • Improved product adoption by fine-tuning and integrating custom AI models for smarter user interactions
  • Optimized model performance and deployment speed by implementing efficient training pipelines and production-ready APIs

IT Support Staff

December 2022 – October 2023
Maryland Global Initiatives Corporation · Asokoro, Abuja
  • Improved operational efficiency by providing timely technical support and managing IT assets
  • Reduced hardware replacement costs by diagnosing and repairing IT equipment, increasing lifecycle

Software Engineering Intern

July 2022 – October 2022
Sterling Bank · Marina, Lagos
  • Increased data processing efficiency by 20% by automating data cleaning workflows using Python
  • Enabled clearer decision-making by analyzing asset datasets and building visualizations in Power BI

Publication

Benchmarking Machine Learning Techniques for Phishing Detection and Secure URL Classification

International Journal of Computer Science and Mobile Computing · 2025-01-01

Owa, K. & Adewole, O. (2025)

Conducted a comparative analysis of Random Forest, SVM, and Decision Tree classifiers on 640,000+ phishing and benign URLs, with Random Forest achieving top accuracy (87.85% on Aalto, 86.86% on Kaggle).

Benchmarking Machine Learning Techniques for Phishing Detection and Secure URL Classification

International Journal of Computer Science and Mobile Computing · 2025-01-01

Owa, K. & Adewole, O. (2025)

Conducted a comparative analysis of Random Forest, SVM, and Decision Tree classifiers on 640,000+ phishing and benign URLs, with Random Forest achieving top accuracy (87.85% on Aalto, 86.86% on Kaggle).

Education

York St. John University, York

Master of Business Administration (MBA)

Sep 2025 – 2026

Pan-Atlantic University, Lagos

MSc. Data Science, Artificial Intelligence Focus

Sep 2023 – Dec 2024 | 4.0 CGPA

Ajayi Crowther University, Oyo

BSc. Computer Science

2018 – 2022