# 🧬 AI/ML Engineer DNA
name: "Devarshi Lalani"
alias: "CodeMaestro78"
role: "AI/ML Engineer || Deep Learning Specialist"
university: "LJ University"
location: "Ahmedabad, Gujarat, India 🇮🇳"
timezone: "IST (UTC +05:30)"
# 🎯 Mission Statement
mission: |
"Developing intelligent systems that learn,
adapt, and solve complex problems using
cutting-edge AI/ML and deep learning"
# 🚀 Current Focus
status: "Building transformer-based AI solutions"
availability: "Open for AI/ML opportunities" |
⚡ Quick Stats
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Ongoing Commitment |
Best Achievement |
Annual Progress |
Commitment Level |
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🔥 Model Trainer Optimized Neural Networks |
💡 AI Innovator Novel Architecture Design |
🚀 LLM Expert Transformer Implementations |
📚 Research Focused Continuous Learning |
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Upcoming Milestone |
Latest Achievement |
Annual Challenge |
Live Monitoring |
Drive Level |
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"]
} |
const agenticAI = {
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
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- 🤖 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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Professional Network |
Code Repository |
AI/ML Updates |
Direct Contact |
🟢 Available for AI/ML opportunities!
📅 Response time: Within 24 hours
🌐 Timezone: IST (UTC +05:30)
💼 Preferred work style: Remote/Hybrid