🔭 Gen AI Engineer | Deep Learning | Machine Learning Engineer | LLMs
|
📈 Activity Trend |
🔥 Contribution Streak |
|
💻 Coding Stats |
🏆 Achievements |
High-Impact LLM Automations in Keras-Hub
- 🔹 PR #2497 - 🧠 Automated Pipeline: Migrating Hugging Face Causal Language Models to KerasHub 🏗️
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 🏗️
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 📘
