Ibrahim Olanigan 👋
Full-Stack AI Engineer | Building Production-Grade LLM Systems | AI Educator & Open-Source Contributor
I'm a Full-Stack AI Engineer with 9+ years of experience bridging the gap between scalable software architecture and production-grade AI. My focus is on building robust, real-world applications that leverage Large Language Models (LLMs), with deep expertise in RAG systems, agentic workflows, and Voice AI.
I am passionate about sharing knowledge through my YouTube channel and contributing to the open-source community, especially in advancing AI for underrepresented languages.
🔭 What I'm Currently Focused On:
- 🚀 Building Voice-First AI Systems: Exploring the future of human-computer interaction. Check out my latest hackathon project, AI Research CoPilot—a voice-first assistant that provides real-time updates on AI research from Hugging Face and arXiv.
- 🛠️ Developer Productivity: Creating open-source tools like the
ai-sprint NPM package and MCP clients to streamline AI development workflows.
- 🌍 Advancing NLP for underserved communities: Actively developing models and datasets for Arabic transliteration and Yoruba language on Hugging Face, with a focus on ASR and NLP.
- 📚 AI Education: Creating tutorials and courses, like the DSPy Zero-to-Hero Course, to help others build modern AI systems.
💻 My Tech Stack
- AI/ML: Python, PyTorch, LangChain, LangGraph, DSPy, RAG, Vector Databases, LLM Fine-Tuning
- Backend: Java, Spring Boot, Node.js, RESTful APIs, Microservices
- Frontend: Next.js, Angular, TypeScript, JavaScript
- Cloud & DevOps: AWS, GCP, Azure, Cloudflare Workers, Docker, Kubernetes, Terraform, CI/CD
- Databases: PostgreSQL, MongoDB, Redis, MySQL
✨ Featured Projects
- AI Research CoPilot (Hackathon Project): A voice-first AI assistant built with Next.js, Pipecat, Gemini 2.5, and MCP clients for real-time data retrieval.
- Transliteration AI: A multi-step pipeline that generates high-quality transcripts from multi-lingual videos using OpenAI Whisper and Google Gemini.
- SpeechWhisper (macOS App): A native Swift application for real-time, on-device speech-to-text transcription.
- Published Hugging Face Models: Including
t5-base-ar-transliteration for Arabic NLP and w2v-bert-yoruba-CV16 for Yoruba Automatic Speech Recognition.
🏆 Achievements & Recognition
- Winner - GenHax Hackathon (2024)
- Participant & Builder - AI Tinkerers Gemini x Pipecat Virtual Hackathon (2025)
- Certified: Azure AI Fundamentals, Google Cloud Developer, Kubernetes Application Developer (CKAD)
📫 Connect With Me