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Tijesunimi OladokunTO
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Tijesunimi Oladokun

@tijesunimioladokun

I’m an AI Solutions Architect and full-stack developer building agentic LLM systems that ship fast into production.

Nigeria
Message

What I'm looking for

I’m looking to build and deploy autonomous, production-ready LLM agents—focused on real-time integration, fast prototyping, and measurable impact across applications like video automation and customer support.

I’m an AI Solutions Architect and Full-Stack Developer specialising in autonomous AI agents, RAG-based architectures, and LLM-powered applications. I bridge raw language models into production-ready, task-oriented systems with practical impact.

I’ve built an intelligent Long-to-Short Video Editor that automatically identifies key moments, preserving narrative context while trimming long-form content into punchy clips. I integrated AI-driven scene detection and transcript analysis to dramatically reduce runtime without losing meaning.

I designed and trained a custom large language model from the ground up, covering data curation, tokenisation, architecture choices, and fine-tuning. I also developed a RAG-powered customer support assistant with live Twilio communication, using low-latency pipelines for real-time interactions.

My work emphasizes high-speed prototyping and reliable deployment—using tools like LangChain, Streamlit, Docker, and Render. Through hackathons and certifications (including Agentic AI Developer and AI & ML Developer), I keep pushing toward production performance, especially in resource-constrained environments.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

MA

Meta AI Developer Academy

Developer Academy (training program), Artificial Intelligence

2025 - 2025

Activities and societies: Agentic workflows with Llama/LangChain; cross-functional hackathon prototype delivery.

Engineered agentic workflows using Llama and LangChain to tackle task-automation challenges under tight deadlines. Collaborated cross-functionally to deliver a functional AI agent prototype within hackathon constraints.

SR

Student Robotics & Artificial Intelligence of Nigeria (RAIN)

Student program/training (RAIN), Robotics & Artificial Intelligence

2024 - 2025

Activities and societies: Applied ML to robotics/software; built DeepFace-based identity verification modules.

Mastered core machine learning principles and applied them to real-world robotics and software projects. Developed computer vision modules using Python and DeepFace for identity verification tasks.

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