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  • London

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Achievements

Achievement: StarstruckAchievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLO

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kayvane1/README.md

Welcome

👋 Hello, I'm Kayvane, a Machine Learning Engineer working in London.

I work primarily with Financial Services Companies, having focused mostly on Financial Crime Prevention, Anti-Money Laundering and Sustainability Quantification.

  • 🔭 I’m currently working on leveraging LLMs to build Knowledge Graphs

  • 🌱 I’m currently learning about End to End ML/LLM Deployments and interested in Machine Learning Explainability and adversarial attacks.

🔗 Connect with me

Medium LinkedIn

⚡ Favourite Technologies.

I'll usually adapt to the technologies my clients have on-premise and combining them to solve the client problem. Below are some of my favorite technologies and frameworks.

🤖 Machine Learning.

OpenAI, PyTorch, PyTorch Lightning, Transformers, SpaCy, Weights & Biases

☁️ Stack Experience

AWS, Docker, Terraform, DBT, Airflow, CDK, Databricks

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  1. terraform-aws-deep-learning-lambda terraform-aws-deep-learning-lambda Public

    terraform module to create an efs-backed lambda using terraform to build and deploy serverless deep-learning end-points for inference

    HCL

  2. complaints-allocation complaints-allocation Public

    End to End Machine Learning Deployment using Terraform, HuggingFace, AWS and Budibase. Covering requirements gathering, training, deployment, explainability, ML Ops, orchestration

    Python 2

  3. brave-api brave-api Public

    Search for words, documents, images, videos, news and maps using the Brave search engine. Downloading files and images to a local hard drive.

    Python 48 11

  4. wandb-course wandb-course Public

    Demo usage of Weights & Biases for ML Ops

    Python 4 1