Personal details
Omotayo I.
About
I’m a Senior Software Engineer with 10+ years of experience building scalable full-stack and AI-powered applications. My core stack includes JavaScript/TypeScript, React, Node.js, and Python, with strong experience designing cloud-native systems on AWS.
In recent years I’ve focused heavily on AI-driven platforms and intelligent automation. I recently built an enterprise AI copilot platform using Python (FastAPI) and microservices architecture, integrating LangChain-based retrieval pipelines, a Weaviate vector database, and multiple LLM providers. The system supports conversational AI, document-based knowledge retrieval (RAG), real-time streaming responses, and voice interaction through speech-to-text and text-to-speech services.
Previously, I developed AI assistants and automation tools including a LangChain-powered customer support chatbot for an e-commerce platform and a voice-based AI support system using Flask and ElevenLabs. These systems combined LLM reasoning with contextual data retrieval to deliver accurate responses from structured databases and knowledge sources.
Beyond AI systems, I’ve built and deployed numerous production platforms across domains such as HR systems, e-voting platforms, social media automation tools, and cross-platform POS applications using Electron. I have extensive experience designing secure APIs, distributed backend architectures, and high-performance web applications using React, Next.js, Node.js, Flask, and relational databases.
On the infrastructure side, I regularly deploy and scale applications using AWS services including EC2, RDS, S3, CloudFront, Route53, and CI/CD pipelines through AWS Amplify and GitHub Actions.
I also actively leverage modern AI-assisted development tools such as Cursor, GitHub Copilot, and ChatGPT to accelerate development workflows, refactor legacy systems, and prototype complex features quickly.
Overall, I enjoy building AI-enabled products and scalable systems that bridge intelligent automation with real business workflows, helping teams ship faster and deliver meaningful user experiences.
Work Experience
AI Enterprise Copilot Platform (Microservices AI System)
Architected an enterprise AI copilot platform integrating conversational AI, RAG-based knowledge retrieval, and voice agents into SaaS workflows. Designed a polyglot microservices architecture with a Node.js API gateway and Python FastAPI services for AI orchestration, retrieval pipelines, model routing, and voice processing. Implemented large-context RAG pipelines using Weaviate and integrated multiple LLM providers (OpenAI, Gemini) through dynamic routing to optimize cost, latency, and response quality. Enabled real-time AI interactions via WebSockets/SSE and voice pipelines using speech-to-text and text-to-speech. Containerized services with Docker and orchestrated environments with Docker Compose for scalable deployments.
AI Voice RAG Assistant
Developed a conversational AI assistant combining LangChain retrieval pipelines, ChromaDB vector search, and LLM reasoning, with voice interaction powered by ElevenLabs. Focused on improving retrieval accuracy, response latency, and evaluation of model outputs.
Tech: Python, FastAPI, Flask, LangChain, Weaviate, ChromaDB, OpenAI APIs, React
FlexiCoop SaaS Platform
Designed backend services and REST APIs for a cooperative finance platform supporting loans, savings, and transactional workflows, with bulk data processing and database validation to ensure financial integrity.
Tech: Node.js, PostgreSQL, React
IntelliTest AI Assessment Platform
Built an AI-powered candidate assessment platform using LLM-driven question generation 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.