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Hi there 👋

  • 🔭 I work for Amazon Web Services (AWS - CH) in AWS Mainframe Modernization service team, contributing to the design and development of various features and integrations. I currently focus on leveraging GenAI (Amazon Bedrock, Amazon Q, etc.) to accelerate mainframe migrations to the AWS Cloud via automated documentation, code & test generation. In qstensils repository, I publish some scripts I use with Amazon Q.

  • 🔭 Some personal projects (pinned below) are about cloud services: see GCP & AWS worflows projects. I am also keen on DevOps + Kubernetes: cloud-native is the strategic IT architecture to gain agility, reduce time-to-market and better compete in a software-driven world: check out Microservices on K8s and Knative on AWS + GCP.

  • 👯 I also do my best to contribute to OSS projects: see "contributions" below.

  • 📫 You can reach me via Twitter or LinkedIn.

Didier Durand's Projects

alphacodium icon alphacodium

Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""

aws-m2-user-guide icon aws-m2-user-guide

Contains the open source version of the AWS Mainframe Modernization user guide.

cilium icon cilium

eBPF-based Networking, Security, and Observability

code-lms icon code-lms

Guide to using pre-trained large language models of source code

deep-q-network icon deep-q-network

Keras implementation of DQN for the MsPacman-v0 OpenAI Gym environment.

keras-io icon keras-io

Keras documentation, hosted live at keras.io

llava icon llava

[NeurIPS 2023 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards multimodal GPT-4 level capabilities.

microk8s-akri icon microk8s-akri

Kubernetes on edge for IoT: Akri (Microsoft) video demo & MicroK8s (Canonical) - Powered by GCE

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