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  • KPMG Africa

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ucheorjins/README.md

Hi, I'm Uche

I build intelligent systems that combine robust machine learning foundations with practical LLM engineering.


Tech Stack & Skills

AI & ML
Python, Transformers, LLM Engineering, Prompt Design, LangChain-style agents, Model Evaluation, Embeddings, RAG

System & Workflow Integration
Automation, Cybersecurity Decision Support, Enterprise Document Pipelines

Data Tools
Web Scraping (BeautifulSoup, Requests), Pandas, API design, Data Modeling

Design & Interaction
Human-Computer Interaction, UX for AI Systems, Interface Logic for Intelligent Systems


Long-Term Vision

I want to contribute to building intelligent systems that move beyond the transformer paradigm.
Current LLMs are powerful, but scaling alone can’t solve their limitations in:

  • long-term memory
  • consistent reasoning
  • representational flexibility
  • architectural interpretability

My goal is to explore architectures with different inductive biases — models capable of new forms of reasoning and intelligence that current methods cannot reach.


Contact

Email: [email protected]

Alternate Email: [email protected]

X: ucheorjins

Portfolio: (Coming soon)


I’m currently preparing for the EMAI Master’s Programme — focusing on Intelligent Decision-Making and the future of alternative AI architectures.
If you’re working on systems, LLMs, or post-transformer research, I’d love to connect.

Pinned Loading

  1. company_brochure company_brochure Public

    An AI-powered agent that navigates a company's website, intelligently selects relevant pages (like "About Us" or "Careers"), scrapes the content, and generates a cohesive marketing brochure using O…

    Python

  2. doc-qa-agent doc-qa-agent Public

    A lightweight document-aware chatbot that can answer questions from PDF, DOCX, or text files using Sentence-Transformer embeddings for context retrieval, LLM models (OpenAI and Ollama here) for ans…

    Python 1

  3. movie_explorer_app movie_explorer_app Public

    Search, filter, and compare 300 of the best movies of all time — by year, rating, genre, and runtime. Built with Python, BeautifulSoup Pandas, APIs for movie data (IMDbPY, OMDB) and Streamlit.

    Jupyter Notebook 1