Muhammad Imran Zaman PRO

ImranzamanML

https://www.kaggle.com/muhammadimran112233

AI & ML interests

Results-driven Machine Learning Engineer with 7+ years of experience leading teams and delivering advanced AI solutions that increased revenue by up to 40%. Proven track record in enhancing business performance through consultancy and expertise in NLP, Computer Vision, LLM models and end-to-end ML pipelines. Skilled in managing critical situations and collaborating with cross-functional teams to implement scalable, impactful solutions. Kaggle Grandmaster and top performer in global competitions, dedicated to staying at the forefront of AI advancements.

Recent Activity

posted an update 2 days ago

Run LLM model Locally using Docker right inside your codebase (No GUI Needed!) In this project, I did not used the suporting GUI like Open WebUI or LM Studio or any other, so the purpose to use stand alone LLM models with ollama to give you the idea that how you can use it in your project/code instead of running through third party. Everything is containerized with Docker, so setup is clean and repeatable. Its just a fun side project so my connections can learn more about running models locally in their own projects. Tech stack used: 🐋 Docker 🦙 LLaMA via Ollama 💻 HTML/CSS/JS 🐍 Python + FastAPI 🌐 NGINX Its still early and a fun side project, but if you are into local model deployment, or just want to see how it works, check it out on the given link! https://github.com/Imran-ml/llama-chatbot-dockerized #LLM #Docker #OpenSource #Chatbot #LLaMA #fastapi

updated a model 9 days ago

ImranzamanML/llama4-medqa

published a model 9 days ago

ImranzamanML/llama4-medqa

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Run LLM model Locally using Docker right inside your codebase (No GUI Needed!)

In this project, I did not used the suporting GUI like Open WebUI or LM Studio or any other, so the purpose to use stand alone LLM models with ollama to give you the idea that how you can use it in your project/code instead of running through third party. Everything is containerized with Docker, so setup is clean and repeatable. Its just a fun side project so my connections can learn more about running models locally in their own projects.

Tech stack used:

🐋 Docker

🦙 LLaMA via Ollama

💻 HTML/CSS/JS

🐍 Python + FastAPI

🌐 NGINX

Its still early and a fun side project, but if you are into local model deployment, or just want to see how it works, check it out on the given link!

https://github.com/Imran-ml/llama-chatbot-dockerized

#LLM #Docker #OpenSource #Chatbot #LLaMA #fastapi

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