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Working from home
๐Ÿ 
Working from home
  • University of the Philippines
  • Quezon City, Metro Manila, Philippines
  • 03:16 (UTC +08:00)
  • X @jaceroldan

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jaceroldan/README.md

Hi there! ๐Ÿ‘‹

  • ๐Ÿ”ญ Iโ€™m currently working on Multimodal Deep Learning research at the University of the Philippines Diliman as a graduate student at UPD's Artificial Intelligence Program. I am also currently an AI Engineering lead at Scalema.com! My current projects involve building various co-pilots to assist in many professional tasks.
  • ๐ŸŒฑ Iโ€™m currently learning a lot modern NLP concepts and practicing a lot of my MLOps skills while completing my graduate program. I'm looking to integrate the concept of "memory" in conversational agents to improve its ability to converse without falling flat. I'm also fascinated with linguistics and the application of deep learning in the space of Neural Machine Translation.
  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on anything NLP! I've built quite a few RAG systems and chatbots and would like to expand my horizons in this regard. I am also currently dabbling in multi-modal foundation model space... text, speech, vision, video โ€”ย you name it.
  • ๐Ÿค” Iโ€™m looking for help with advancing machine learning past Type 1 capabilities. I'm heavily looking into concepts like the application of deep learning into reasoning, abstraction, and AGI.
  • ๐Ÿ’ฌ Ask me about anything related to deep learning and natural language processing concepts! I'm also an avid programmer and constantly looking to improve my skills in Python, JavaScript, and C and get to learn new performant languages like Rust.
  • ๐Ÿ“ซ How to reach me: For academic things, my university email is [email protected]! My professional email is [email protected]
  • ๐Ÿ˜„ Pronouns: He/Him
  • โšก Fun fact: I love playing StarCraft 2, and though I might not really be that good at it, one of the items in my bucket list is to be able to build a win-prediction model for StarCraft 2 matches.

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  1. linalg-for-machine-learning linalg-for-machine-learning Public

    A reimplementation of many of the most essential decomposition and other essential functions in linear algebra libraries such as those found in the numpy.linalg module.

    Python 1

  2. llama-3.2-benchmark llama-3.2-benchmark Public

    An attempt to replicate LLaMA-3.2-1B-Instruct Model's results on MMLU benchmark using a NVIDIA DGX A100 GPU.

    Jupyter Notebook

  3. byte_pair_encoding_sample byte_pair_encoding_sample Public

    Goal is to create a comparison between a reimplementation of the byte-pair encoding algorithm for tokenization and the popular WordPiece tokenizer.

    Python

  4. fasttext-implementation fasttext-implementation Public

    A Python re-implementation of the fasttext word embedding algorithm.

    Jupyter Notebook

  5. transformer-decoder-lm transformer-decoder-lm Public

    A small-scale decoder-only transformer for language generation tasks (WIP!)

    Jupyter Notebook

  6. distracted-driving-analysis distracted-driving-analysis Public

    A practice project on buildling a distracted driving classifier using Tensorflow and Keras (Using pre-trained VGG-19 model)

    Jupyter Notebook