I’m currently working on: Developing a Retrieval Augmented Generation (RAG) model using Langchain and Ollama with advanced techniques to improve contextual relevance and interaction.
I’m looking to collaborate on: AI projects that focus on reinforcement learning, neural networks, and data-driven solutions, especially in real-world applications where model deployment and scalability are crucial.
I’m currently learning: Advanced actor-critic algorithms in reinforcement learning and preparing for the AWS Certified Machine Learning Specialty exam.
Ask me about: Machine learning model deployment, reinforcement learning techniques, or how AI can improve flood prediction and music recommendation systems.
Fun fact: I once combined heat camera data with AI-enhanced processing to improve vision in dense smoke environments—adapting to environmental changes better than traditional models!
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DCGAN-with-facedata
DCGAN-with-facedata PublicThis repository Investigates DCGAN using facedata. Serves as a personal cautionary tale when working with GANS.
Jupyter Notebook
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Reinforcement-Learning-repo
Reinforcement-Learning-repo PublicA repo where I look into the details and practice on how to properly utilize reinforcement learning
Jupyter Notebook
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Contra-Lua
Contra-Lua PublicGenetic algorithm implemented using lua and bizhawk to play classic contra retro game
Lua
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Flood-algo-draft
Flood-algo-draft Publicflood algo test suite(Prototyping using CNN-RNN)
Jupyter Notebook
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LBCGAN
LBCGAN PublicLocation based conditional gan - this is only for prototype purposes
Jupyter Notebook
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