deep_learning_stack= {
"architectures": ["CNN", "RNN", "LSTM", "GRU"],
"advanced": ["Transformers", "GANs", "VAE"],
"current_focus": ["Attention Mechanisms", "Vision Transformers"],
"optimization": ["Adam", "SGD", "RMSprop", "AdamW"]
}

llm_expertise= {
"models": ["BERT", "GPT", "T5", "Llama", "Gemini"],
"techniques": ["LoRA", "QLoRA", "PEFT", "RLHF"],
"frameworks": ["HuggingFace", "LangChain", "LlamaIndex"],
"deployment": ["Ollama", "vLLM", "TensorRT-LLM"]
}

constagenticAI={frameworks: ["LangChain","LangGraph","AutoGPT"],tools: ["LangSmith","LangServe","Crew AI"],patterns: ["ReAct","Chain-of-Thought","Tree-of-Thoughts"],memory: ["Vector Stores","Semantic Search","RAG"]};

math_core= {
"linear_algebra": ["Matrices", "Vectors", "Eigenvalues"],
"calculus": ["Gradients", "Backpropagation", "Optimization"],
"probability": ["Bayes", "Distributions", "Statistics"],
"information_theory": ["Entropy", "KL Divergence"]
}

• 🔥 Large Language Models - Fine-tuning, PEFT, LoRA, QLoRA
• ⚡ Agentic AI Systems - Multi-agent frameworks, Tool integration
• 🌐 RAG Architectures - Vector databases, Semantic search, Context retrieval
• 🤖 Computer Vision - Object detection, Image segmentation, Vision transformers
• 📊 MLOps Pipeline - Model deployment, Monitoring, CI/CD for ML

• 🤖 LLM Fine-tuning Pipeline - Custom domain-specific language models
• 🧠 Multi-Agent AI System - LangGraph-based autonomous agents
• 📊 Computer Vision Project - Real-time object detection with YOLO
• 🔍 RAG Application - Document Q&A system with vector databases

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Direct Contact

🟢 Available for AI/ML opportunities!
📅 Response time: Within 24 hours
🌐 Timezone: IST (UTC +05:30)
💼 Preferred work style: Remote/Hybrid

_{⚡ Fun Fact: This README evolves as my AI/ML journey progresses .! 🤖}