🚀 Building intelligent systems that bridge the gap between AI research and real-world applications
class TanvirRahmanAnik:
def __init__(self):
self.role = "ML Engineer & AI Developer"
self.current_focus = [
"LLM Fine-tuning & Optimization",
"RAG Systems & Vector Databases",
"Computer Vision Applications",
"MLOps & Model Deployment"
]
self.building = [
"🤖 Conversational AI Systems",
"🔍 Intelligent CV Screening Platforms",
"📊 RAG-powered ERP Automation",
"🏥 Healthcare AI Solutions"
]
self.learning = [
"Advanced LLM Architectures",
"Multi-modal AI Systems",
"Edge AI Deployment"
]
def get_current_projects(self):
return {
"cv_screening": "SBERT-based resume analysis (500+ CVs in 8 min)",
"conversational_ai": "GPT-4 interview assessment with 70% time reduction",
"rag_systems": "ChromaDB + LangChain for ~80% SQL accuracy",
"forecasting": "LSTM time series models (R² = 0.87)"
}
🔥 Core Programming
🤖 AI/ML Frameworks
🔗 LLM & Generative AI
🌐 Backend & APIs
🗄️ Databases & Storage
⚙️ DevOps & MLOps
📊 Data Science & Visualization
Machine Learning · Deep Learning for Diagnostic Systems · Natural Language Processing · Explainable AI in Healthcare · Medical Image Analysis and Computer Vision · LLM Fine-tuning and Optimization · Retrieval-Augmented Generation · Conversational AI Systems · MLOps and Model Deployment
current_focus = {
"learning": [
"🔬 Advanced LLM Architecture Optimization",
"🌐 Multi-modal AI Systems Development",
"⚡ Edge AI and Model Compression"
],
"building": [
"🤖 Production-ready RAG Systems",
"📊 Real-time ML Pipeline Infrastructure",
"🔍 Intelligent Document Processing Tools"
],
"exploring": [
"🧠 Transformer Architecture Improvements",
"🎯 Few-shot Learning Applications",
"🔐 AI Safety and Robustness"
]
}
💬 Ask me about: Machine Learning • LLMs • RAG Systems • Computer Vision • MLOps
🔍 Open to: Collaboration • Open Source Contributions • Technical Discussions • Mentoring