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Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: Quickdraw

Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: Quickdraw

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laxmareddyp/README.md

Laxma Reddy Patlolla

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🔭 Gen AI Engineer | Deep Learning | Machine Learning Engineer | LLMs

🏆 My GitHub Stats

📈 Activity Trend

🔥 Contribution Streak

💻 Coding Stats

🏆 Achievements

💻 Tech Stack

Deep Learning Frameworks

TensorFlow Keras KerasHub

🏆 Top Next-Gen AI Workflows Contribution to Keras-Hub:

High-Impact LLM Automations in Keras-Hub

  • 🔹 PR #2497 - 🧠 Automated Pipeline: Migrating Hugging Face Causal Language Models to KerasHub 🏗️

🏆 Top Models Architecture

Here are some of my best Models contributions to Keras-Hub:

  • 🔹 PR #2631 - 🧠 Implemented Qwen Family Multi Model Qwen3.5 model(VLLM) to KerasHub 🏗️
  • 🔹 PR #2606 - 🧠 Implemented Google Audio Nano Model Gemma3n model(STT) to KerasHub 🏗️
  • 🔹 PR #2619 - 🧠 Implemented Google Enocoder-Decoder T5Gemma2 model(VLLM) to KerasHub 🏗️
  • 🔹 PR #2384 - 🧠 Implemented OpenAI GPT-OSS architecture to KerasHub 🏗️
  • 🔹 PR #1984 - 🧠 Added BASNet architecture to KerasHub 🏗️
  • 🔹 PR #2445 - 🧠 Enables Any Gemma3 model variants from PyTorch(Hugging Face) to KerasHub 🚀
  • 🔹 PR #2480 - 🧠 Added FunctionGemma Model weights to KerasHub 🚀
  • 🔹 PR #2483 - 🧠 Implemented Mask R-CNN architecture in KerasCV 🏗️

🏆 Top Published Guides on keras.io

Here are some of my best contribution guides to Keras-IO:

  • 🔹 PR #2299 - Native function calling capabilities with FunctionGemma 📘
  • 🔹 PR #2133 - Function Calling(FC) feature with KerasHub 📘
  • 🔹 PR #2158 - Supercharging LLMs: Building RAG Systems with Keras Hub 📘
  • 🔹 PR #2166 - Model Context Protocal(MCP) with KerasHub Models 📘
  • 🔹 PR #2124 - Loading Hugging Face Transformers Checkpoints into KerasHub 📘

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Connect with me

laxmareddyp

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  1. keras keras Public

    Forked from keras-team/keras

    Deep Learning for humans

    Python

  2. keras-hub keras-hub Public

    Forked from keras-team/keras-hub

    Pretrained model hub for Keras 3

    Python

  3. keras-io keras-io Public

    Forked from keras-team/keras-io

    Keras documentation, hosted live at keras.io

    Jupyter Notebook

  4. kinetic kinetic Public

    Forked from keras-team/kinetic

    Run ML workloads seamlessly on cloud TPUs and GPUs with a single Python decorator. No infrastructure management required.

    Python

  5. keras-rs keras-rs Public

    Forked from keras-team/keras-rs

    Multi-backend recommender systems with Keras 3

    Python

  6. tf-keras tf-keras Public

    Forked from keras-team/tf-keras

    The TensorFlow-specific implementation of the Keras API, which was the default Keras from 2019 to 2023.

    Python