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emmanuelalo52/README.md

🚀 Hey there, I’m Emmanuel (a.k.a. Manny) 👋

I’m a Software Engineer with 5+ years of experience, including 3 years deep in the trenches of Machine Learning, NLP, and GPU programming. I love building things that are not only powerful but also efficient, scalable, and fun to use.

⚡ From distributed systems to high-performance ML pipelines, I thrive where code meets complexity.


🧠 What I Do Best

  • Software Engineering
    Crafting scalable systems, building microservices, and architecting distributed platforms that don’t crumble under pressure.

  • Machine Learning + GPU Programming
    Optimizing and training ML models with a focus on speed and efficiency. Whether it’s a Vision Transformer (ViT) or a language model, I know how to make GPUs sweat (in a good way).

  • Algorithms, Data Structures & Databases
    Clean, optimized, and performant solutions powered by strong CS fundamentals and SQL/database management skills.


🤖 NLP & Transformers Magic

I work a lot with Hugging Face Transformers, building LLMs for:

  • 📝 Text Summarization
  • ❓ Question Answering
  • 🗣️ Human-computer interaction

If it involves language + intelligence, chances are I’ve tinkered with it.


🔥 Always Leveling Up

Tech never sits still, and neither do I.
I’m constantly exploring:

  • 🖼️ Multi-modal models
  • ☁️ Distributed services
  • 🧑‍💻 Open-source contributions

Because growth = fun.


🌍 A Little Philosophy

I believe in creating solutions that sit at the sweet spot of performance, intelligence, and real-world impact.

If you’re into high-performance systems, AI breakthroughs, or just cool software engineering—stick around. You might like what you see.


Check out my projects. Let’s build something awesome together.

Pinned Loading

  1. Vision-Transformer-from-scratch Vision-Transformer-from-scratch Public

    Python

  2. GPT2 GPT2 Public

    Python 1

  3. Stocks-Prediction-Model Stocks-Prediction-Model Public

    This model analyses the two datasets (train set and test set). On the training dataset, we analyse the top highest stocks in all 2000+ with the use of seaborn, matplotlib and pandas.

    Jupyter Notebook

  4. Fine-Tuning-for-Multilingual-Named-Entity-Recognition-on-PAN-X-Dataset Fine-Tuning-for-Multilingual-Named-Entity-Recognition-on-PAN-X-Dataset Public

    Jupyter Notebook

  5. Diffusion_model Diffusion_model Public

    Python 2

  6. LLaMA-3.2-Multimodal LLaMA-3.2-Multimodal Public

    Python