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EdwinChacko75/README.md

Hi, 👋 I'm Edwin Chacko

💫 About Me

Education

Incoming fourth-year Engineering Science student majoring in Machine Intelligence at the University of Toronto.

Professional Experience

  • AI/ML Engineer, PEY at PocketHealth
  • Machine Learning Researcher at McMaster University, ChemAI Lab
  • Machine Learning Engineer at UTMIST, Flow To Learn

🚀 What I'm Up To

  • 🧠 Reasonix

    • Improving reasoning in small language models using chain-of-thought fine-tuning, SFT, and RLHF.
  • 🌊 Flow To Learn

    • Exploring flow matching for neural network weight generation, few-shot adaptation, and robust initialization.
  • 🧪 Spectro

    • Co-first-authored a multimodal molecule elucidation paper using IR and NMR data, accepted to the AI4Mat-NeurIPS 2024 workshop.

📚 Publications

  • Chacko, Sondhi, et al. "Spectro: A Multi-modal Approach for Molecule Elucidation Using IR and NMR Data." AI4Mat-NeurIPS 2024. DOI
  • Sondhi, Chacko, et al. "j-IR-vis: Vision model for Infrared spectroscopy embeddings." ChemRxiv preprint, 2025. DOI

🌐 Connect with me

Pinned Loading

  1. UofT-CourseworkUofT-CourseworkPublic

    A collection of my assignments and problem sets from various courses at UofT.

    Jupyter Notebook

  2. reasonixreasonixPublic

    This repository contains the ECE324 reasonix group project. We explored reasoning models in mathematics on the gsm8k dataset. Our experiments improved the baseline model from 17% accuracy on the te…

    Python 1

  3. ChemAI-Lab/jirvisChemAI-Lab/jirvisPublic

    Python 1