Software Engineer with 5+ years building and scaling production backend systems on AWS. Over the past year I've been channeling that foundation into AI engineering β shipping voice agents, RAG pipelines, and LLM-powered tools that actually work in production.
I care about building things that are reliable, well-architected, and genuinely useful.
oluseye = {
"focus": ["AI Engineering", "Backend Systems", "Cloud Infrastructure"],
"languages": ["Python", "TypeScript", "C++", "Rust", "C"],
"ai_stack": ["Google ADK", "OpenAI", "LangGraph/LangChain", "CrewAI", "MCP"],
"cloud": ["AWS", "GCP", "Docker", "Terraform", "GitHub Actions"],
"backend": ["Django", "FastAPI", "Flask", "Node.js", "PostgreSQL", "Redis"],
"currently": "Building AI systems that scale π"
}ποΈ Google Workspace Voice AI Agent
Gemini Live API Β· FastAPI Β· WebSockets Β· Google Cloud Run Β· Docker
A voice-first AI executive assistant that lets you manage Gmail, Calendar, Tasks and Contacts entirely through natural speech. Real-time bidirectional audio streaming with sub-second latency β deployed on GCP Cloud Run with full CI/CD.
Voice AI Gemini Live Google Workspace Real-time Streaming GCP
Python Β· LangChain Β· OpenAI Β· ChromaDB Β· FastAPI
LLM-powered chatbot with a full RAG pipeline: PDF ingestion, text chunking, vector embedding, ChromaDB indexing, and semantic retrieval. Students query lecture content and get grounded, accurate answers β no hallucinations.
RAG LangChain ChromaDB Vector Embeddings Prompt Engineering
Python Β· OpenAI Whisper Β· pyannote.audio Β· FastAPI
Automated speech pipeline that transcribes customer service recordings and identifies every speaker β "who said what, and when." Structured, timestamped transcripts ready for downstream QA and analysis.
Speaker Diarization Whisper ASR pyannote Audio AI NLP
AI / ML
Backend
Cloud & DevOps
Databases
Want to collaborate? Reach out!
π§ obakunleoluseye@gmail.com πΌ linkedin.com/in/obakunleoluseye π₯ YouTube β codeDIY


