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Achievement: Arctic Code Vault Contributor

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Achievement: Arctic Code Vault Contributor

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bagheri365/README.md

I work at the intersection of machine learning, applied AI, and experimentation.

My background spans research and production ML across recommender systems, graph learning, NLP, computer vision, and generative AI.

LinkedIn · Google Scholar

Selected work

  • PartyPilot — Evaluating when decomposition and multi-agent coordination justify their added complexity.
  • AdaptLab — Controlled experiments comparing prompting, RAG, and LoRA for model adaptation.
  • DetectiveLab — Studying multimodal reasoning under conflicting sources of evidence.
  • CatDog Classifier Deployment — Deploying a deep-learning vision model as a containerized REST API.

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  1. partypilot partypilot Public

    Evidence-grounded AI planning system for evaluating when decomposition and multi-agent coordination are worth the added complexity.

    Python

  2. adaptlab adaptlab Public

    Controlled experiments comparing prompting, RAG, and LoRA for LLM adaptation.

    Python

  3. detectivelab detectivelab Public

    Controlled multimodal AI experiments for testing how models arbitrate between raw visual evidence, structured observations, and conflicting testimony.

    Python

  4. CatDog-Classifier-Deployment CatDog-Classifier-Deployment Public

    Deployment of a deep learning model as REST API using Flask and Docker

    Python 1

  5. Denoising-Autoencoder Denoising-Autoencoder Public

    A Deep Convolutional Denoising Autoencoder for MNIST Images

    Jupyter Notebook 1

  6. Sentiment-Analysis Sentiment-Analysis Public

    Sentiment Analysis of IMDB Movie Reviews

    Jupyter Notebook 1 1