Triumph Urias is an experienced Artificial Intelligence and Machine Learning Engineer currently serving as a Semi-Senior Associate at Deloitte Africa Consulting Services. In this role, he architects and scales end-to-end AI and Machine Learning systems for high-impact clients across the Telecommunications, Oil and Gas, and Financial Services sectors. He is particularly recognized for his work in Generative AI, where he develops sophisticated Retrieval Augmented Generation (RAG) systems and Agentic AI workflows to solve complex enterprise challenges.
A GCP Professional Machine Learning Engineer, Triumph possesses a deep technical proficiency in deploying cloud-native AI solutions leveraging the Google Cloud Platform. His versatility extends across various environments, with proven experience deploying solutions on AWS and on-premises infrastructure. He maintains a robust foundation in deep learning, having held the TensorFlow Developer Certificate (2022–2025) following his selection for the prestigious Google Machine Learning Bootcamp in Sub-Saharan Africa.
Complementing his technical depth is a strategic approach to business problem-solving, honed through the McKinsey Forward Program. Over six months of intensive study with the McKinsey Academy, Triumph developed advanced competencies in influential communication, resilience, and the McKinsey framework for tackling complex challenges.
Triumph holds a Bachelor’s Degree in Mechanical Engineering from Covenant University. An innovative problem-solver by nature, he thrives in collaborative, high-stakes environments where he can leverage the collective strengths of a team to deliver transformative technical solutions.
An AI copilot allowing users ask natural language questions and get answers about
SEC fillings or Stock Prices of their choice companies. Equipped with tools for Retrieval Augmented Generation and internet access to get real-time stock prices.
Built using LangChain🦜🔗 | OpenAI | Streamlit ⚡| Kay
Try it out!
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An AI-powered chat interface for querying and chatting with PDF documents. Built using LangChain🦜🔗 | OpenAI | Pinecone | TypeScript | NextJS 13.
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Identity Check is a Flask endpoint to verify the face on a live image versus the face on an identification document and the name provided
versus the name on the document using computer vision and OCR ML algorithms.
Built using OpenCV | DeepFace | VGG-Face | EasyOCR
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A Python Program to deploy a containerized service on Cloud Run using Pulumi
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Generate Passwords, OTPs, PINs, API keys and Token lists with various options for customization.
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An end-to-end project building a deeplearning model that reads a comment and gives it relevant tags as regards its safety or toxicity.
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Triumph brings tremendous dedication, analytical depth and clear communication to any team. He also brings a great work ethic alongside strong problem solving and collaborative skills. Triumph was able to deliver real impact during his time on my team and I wholeheartedly recommend him based on his significant contributions as a Data Scientist at Insight7.
Triumph joined the Insight7 team with much talent as well as curiosity. Over the period we worked together, I've watched him hone his skills as a developer and take on advice from more experienced folk to be a much better contributor to our team both technically and otherwise. He would be a very valuable addition to any team he joins.
Triumph is an excellent data scientist, full of energy and persistent, he's someone any organisation would be proud of having. He's excellent and innovative from my observation working with him directly.
Triumph is an incredible person with great work ethic. Working with him was absolutely beautiful and any team would be lucky to have him. He is very creative and a witty problem solver. Pays great attention to detail and gets things done impeccably.
