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laxmareddyp/README.md

Laxma Reddy Patlolla

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πŸ”­ Gen AI Engineer | Deep Learning | Machine Learning Engineer | LLMs

πŸ† My GitHub Stats

πŸ“ˆ Activity Trend

πŸ”₯ Contribution Streak

πŸ’» Coding Stats

πŸ† Achievements

πŸ’» Tech Stack

Deep Learning Frameworks

TensorFlow Keras KerasHub

πŸ† Top Next-Gen AI Workflows Contribution to Keras-Hub:

High-Impact LLM Automations in Keras-Hub

  • πŸ”Ή PR #2497 - 🧠 Automated Pipeline: Migrating Hugging Face Causal Language Models to KerasHub πŸ—οΈ

πŸ† Top Models Architecture

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

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

πŸ† Top Published Guides on keras.io

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

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

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Connect with me

laxmareddyp

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

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