Personal details
Omotayo I.
Technical skills
About
I’m a Senior Software Engineer with 10+ years of experience building scalable full-stack, SaaS, and AI-powered applications. My core stack includes JavaScript/TypeScript, React, Node.js, Python, PostgreSQL, and AWS, with strong experience designing cloud-native and microservices-based systems.
In recent years, I’ve focused heavily on AI-driven platforms and intelligent automation. I recently architected an enterprise AI copilot platform using Python (FastAPI), Node.js, LangChain, Weaviate, and multiple LLM providers. The platform supports conversational AI, RAG-based document retrieval, realtime streaming responses, and voice interaction using speech-to-text and text-to-speech services.
I’ve also worked on AI-driven multimedia systems involving voice-enabled AI avatars, realtime conversational interfaces, media upload pipelines, and AI-assisted content workflows. My experience includes practical use of FFmpeg for media compression, streaming optimization, format conversion, and multimedia processing workflows, alongside integrations with OpenAI and ElevenLabs APIs for voice and conversational AI experiences.
Previously, I developed AI assistants and automation tools including a LangChain-powered ecommerce support chatbot and a voice-enabled AI assistant using Flask, ChromaDB, and OpenAI. These systems combined LLM reasoning with contextual retrieval pipelines to deliver accurate, production-ready AI interactions.
Beyond AI systems, I’ve built and scaled multiple production SaaS platforms across fintech, ecommerce, HR, e-voting, and enterprise operations. Notable projects include FlexiCoop (multi-tenant fintech SaaS), Fivage cloud storage platform, Scavenge ecommerce systems, and cross-platform offline-first POS applications built with Electron.
On the infrastructure side, I regularly deploy and scale applications using AWS services including EC2, RDS, S3, CloudFront, Route53, IAM, and CI/CD pipelines through GitHub Actions and AWS Amplify.
I also actively leverage AI-assisted development tools such as Cursor, GitHub Copilot, and ChatGPT to accelerate engineering workflows, refactor legacy systems, and rapidly prototype scalable features.
Overall, I enjoy building AI-enabled products and scalable systems that bridge intelligent automation with real business workflows while delivering reliable, high-performance user experiences.
Currently, I am actively building and scaling AI-powered SaaS systems, enterprise copilots, fintech platforms, and conversational AI workflows involving RAG pipelines, vector databases, voice interaction systems, and cloud-native infrastructure.
Work Experience
FlexiCoop SaaS Platform
Designed backend services and REST APIs for a cooperative finance platform supporting loans, savings, receivables, approvals, and transactional workflows with bulk data validation to ensure financial integrity. Architected the platform as a scalable multi-tenant SaaS system supporting subscription billing, realtime notifications, role-based access, and high-volume transactional processing across multiple organizations.
Tech: Node.js, PostgreSQL, React, AWS
SchoolMIC is an enterprise education platform built with Python, Django, Django REST Framework, PostgreSQL, AWS, Docker, and Redis, serving thousands of students and lecturers. I developed secure REST APIs, Django ORM models, authentication, RBAC, CBT examination modules, e-learning/video delivery, attendance management, research collaboration, and administrative portals. The platform emphasizes scalability, web security, database optimization, and integration with modern cloud infrastructure.
Voice-Enabled RAG Assistant
Developed a conversational AI assistant combining LangChain retrieval pipelines, ChromaDB vector search, and LLM reasoning with voice interaction powered by ElevenLabs. Implemented FFmpeg-based media/audio processing and optimized low-latency voice streaming for realtime AI conversations and multimedia interactions.
Tech: Python, FastAPI, Flask, LangChain, ChromaDB, OpenAI APIs, React
IntelliTest AI Assessment Platform
Built an AI-powered assessment platform using LLM-driven question generation, realtime evaluation, and automated scoring workflows.
Tech: Python, LangChain, PostgreSQL, React
- Led the architecture and setup of a multi-platform monorepo using LynxJS, PNPM workspaces, TypeScript, Rspack, and shared modules for Web, Android, and iOS builds.
- Implemented the core build infrastructure, including shell-web, shell-android, and shell-ios scaffolds, Gradle/Xcode configs, and a shared codebase powering all platforms from a single source.
- Designed and configured cross-platform Tailwind styling, unified environment variable management, and reusable services/hooks across platforms.
- Built foundational authentication architecture, including axios service layer, token interceptors, global AuthContext provider, secure storage, and error handling patterns.
- Created a scalable shared src/ framework containing routes, pages, API services, helpers, and UI logic for multi-platform rendering.
- Integrated Lynx native bridges, device APIs, platform detection logic, and ensured stable metro bundler resolution across shared, Android, and iOS.
- Collaborated with team members through issue → branch → PR workflow, code reviews, linting setup (Biome), and enforcing scalable engineering standards.
- Helped establish a long-term development workflow + CI pipeline strategy, focusing on incremental PRs, modular design, team onboarding, and maintainable code practices.