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Working from home
  • University of the Philippines
  • Quezon City, Metro Manila, Philippines
  • 23:28 (UTC +08:00)

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jaceroldan/README.md

Hi there! 👋

  • 🔭 I’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 a Data Scientist at Security Bank and a former AI Engineering lead at Scalema.com! My current projects involve building various co-pilots to assist in many professional tasks.
  • 🌱 I’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.
  • 👯 I’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 — you name it.
  • 🤔 I’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. I want to be able to build a language preservation model, a model with the ability to act as a historian, especially for low resource languages.
  • 💬 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.
  • 📫 How to reach me: For academic things, my university email is jtroldan@up.edu.ph! My professional email is jaceroldan16@gmail.com
  • 😄 Pronouns: He/Him
  • ⚡ 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. I also maintain a 1,800-day Duolingo streak across multiple languages, including French, Spanish, Korean, and Swahili (username: https://www.duolingo.com/profile/Jaceeeeee). I’m committed to lifelong learning and cultural fluency!

Know more about what I'm doing by visiting https://jaceroldan.github.io!

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  1. grocery-item-segmentation-yolo grocery-item-segmentation-yolo Public

    An experiment to train a model to detect Filipino grocery items using YOLO.

    Jupyter Notebook

  2. cuatrollm-adaptive-low-resource-mt cuatrollm-adaptive-low-resource-mt Public

    Applying Adaptive Machine Translation fine-tuning (Moslem et al.) on britllm/CuatroLLM model.

    Jupyter Notebook

  3. 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

  4. fasttext-implementation fasttext-implementation Public

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

    Jupyter Notebook