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Woofing Code
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Woofing Code
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  • USA

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@sanjay-kv

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Achievements

Achievement: Public SponsorAchievement: StarstruckAchievement: Galaxy BrainAchievement: YOLOAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: Quickdraw

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MikeO-AI/README.md

💫 About Me:

🔭 I'm currently working on:
* Exploring novel applications of Generative AI in Specific Domains, e.g., image classification, text generation, AI security red teaming, Agentic AI, Human-in-the-loop, etc.
* Building robust MLOps pipelines to automate the deployment and monitoring of computer vision models on Cloud Platforms, e.g., AWS, GCP, Azure, Hugging Face, etc.
* Contributing to Specific Open Source Projects involving PyTorch libraries, a Kubernetes operator for ML, Kubeflow w/ MLflow, Edge AI use cases, etc.

👤👤 I'm looking to collaborate on:
* Open Source projects focused on democratizing AI/ML tools or advancing MLOps practices.
* Innovative projects utilizing PyTorch or other tensor libraries for computer vision or generative tasks.
* Building scalable and efficient cloud infrastructure specifically designed for AI workloads.

🤝 I'm looking for help with:
* Deepening my understanding of Specific advanced topic, e.g., large-scale distributed training, advanced transformer architectures, serverless inferencing, CDKTF across all support programming languages to provision infrastructure, and advanced machine learning use cases.
* Optimizing tensor operations and model inference speed for resource-constrained environments.
* Best practices for securing AI/ML pipelines in complex cloud environments.

📚 I'm currently learning:
* Advanced techniques in Specific Area, e.g., Reinforcement Learning, Multi-modal AI, Explainable AI (XAI), AI Security Adversarial Attacks using Purple Llama, PyRIT, and Garak.
* The latest developments in MLOps tooling like Tool Name, e.g., Kubeflow, MLflow, BentoML, Databricks ML, Roboflow, etc.
* How to better integrate responsible AI principles into the entire ML lifecycle.

💬 Ask me about:
* Deploying and scaling AI/ML models on cloud platforms.
* Building MLOps pipelines from scratch.
* Anything related to PyTorch, Tensors, or Computer Vision fundamentals.
* Getting started with contributing to Open Source AI projects.
* How to scale cloud provisioning beyond Terraform with other Programming Languages.

⚡️ Fun Fact:
* I'm a proud Dog Dad to Kube – yes, he's named after Kubernetes! He occasionally tries to help debug my YAML files to be rewarded with more dog treats. 🐶

💻 Tech Stack:

Python Bash Script TypeScript Rust Objective-C Markdown Dart C C# C++ Apache Groovy PowerShell HTML5 Go Vercel Linode DigitalOcean Firebase OpenStack Heroku Azure AWS Alibaba Cloud Google Cloud Oracle Apache Spark Elasticsearch Flask FastAPI Express.js Django nVIDIA Apache Kafka Apache Hive Astro Anaconda Angular Flutter JWT jQuery OpenCV NodeJS RabbitMQ React Native Snowflake Streamlit TailwindCSS Yarn Styled Components Apache Apache Airflow Apache Flink Apache Maven Gunicorn Jenkins Nginx ApacheCassandra AmazonDynamoDB Firebase InfluxDB MariaDB MicrosoftSQLServer MongoDB MySQL Couchbase CockroachLabs SQLite Supabase Redis Single Store Postgres Figma Sketch Up Keras Matplotlib mlflow NumPy Pandas TensorFlow Plotly PyTorch scikit-learn Scipy CircleCI CloudBees Fastlane GitLab CI GitHub Actions TeamCity TravisCI GitHub Gitea Git Bitbucket GitLab Gitpod AquaSec Ansible Confluence Home Assistant Docker Jira Kubernetes Meta Mosquitto Gradle CMake Cisco Arduino ElasticSearch Pi-Hole Packer OpenTelemetry Notion Portfolio Postman Power Bi Prettier Prezi Prometheus Rancher Raspberry Pi Trello Terraform Swagger Splunk SonarQube SonarLint Twilio Uber Ubiquiti Vagrant Wireguard XFCE Zigbee AMD Analogue nVIDIA Itch.io Epic Games EA OpenGL PlayStation Network Riot Games Sidequest Square Enix Steam Ubisoft Unity Unreal Engine Xbox OpenAPI Specification

📊 GitHub Stats:



🏆 GitHub Trophies

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💰 You can help me by Donating

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