🔭 I’m currently working on: AI Multi-Agent Quant Signal Generation Engine & Graph Attention Networks for fraud detection 👯 I’m looking to collaborate on: Open-source LLM, LangGraph multi-agent systems, and PyTorch deep learning pipelines 🤝 I’m looking for help with: Scaling distributed ML inference and optimizing vector database retrieval pipelines 🌱 I’m currently learning: Advanced Agentic AI architectures and Hugging Face Transformers 💬 Ask me about: LangChain, LangGraph, FastAPI, PyTorch, Few-Shot Learning, and Full-Stack ML deployment ⚡ Fun fact: I built a few-shot learning model that deciphers ancient Indus Valley scripts with over 95% accuracy
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Prototypical-Transfer-Learning-Framework-for-Ancient-Script-Deciphermen
Prototypical-Transfer-Learning-Framework-for-Ancient-Script-Deciphermen PublicDeciphering the undeciphered: Few-shot learning for Indus Valley script. Model learns from Greek, then recognizes ancient symbols from just 1-5 examples. 95% accuracy with 5 shots. Helps archaeolog…
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Detecting-Illicit-Crypto-Activities-Using-Attention-Based-Graph-Neural-Networks
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Hermes-LangGraph-Quant-Signal-Pipeline
Hermes-LangGraph-Quant-Signal-Pipeline PublicAI-powered multi-agent quant signal generation engine. Uses LangGraph to orchestrate 4 LLM agents (News Analyst, Trading Analyst, Risk Analyst, Manager) that collaborate to generate risk-adjusted B…
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Network-Intrusion-Detection-System-UNSW-NB15-Advanced-Threat-Analysis-with-Ensemble-ML-Models
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