I build intelligent systems that solve real-world problems. My expertise lies at the intersection of:
- 🔍 Advanced RAG Architectures - Knowledge graphs, multi-vector retrieval, hybrid search
- 🤖 LLM Application Development - Fine-tuning, prompt engineering, context management
- 🛠️ Production AI Systems - Scalable infrastructure, monitoring, MLOps pipelines
- 🔄 Multimodal AI - Computer vision + NLP integration, intelligent document processing
Currently working on next-generation AI systems for information retrieval, autonomous agents, and knowledge management.
mindmap
root((AI/ML))
LLM Technologies
RAG Architectures
Fine-tuning
Prompt Engineering
Agentic Systems
Computer Vision
Object Detection
YOLO
OpenCV
Neural Networks
TensorFlow
PyTorch
Transformers
Vector Databases
Pinecone
Chroma
Faiss
Data Processing
Pandas
scipy
NumPy
PySpark
|
Python |
React |
FastAPI |
Docker |
AWS |
MongoDB |
|
TensorFlow |
PyTorch |
Django |
PostgreSQL |
Git |
GCP |
- 🔗 Vector Database Optimization – Advanced Chroma techniques & multi-hop RAG for semantic search
- 🧰 Cloud-Native MLOps – Scalable ML deployment using MLflow, Kubernetes, and AWS
- 🔬 Research to Production – Implementing cutting-edge AI reasoning papers into real-world systems
- 🧪 AI Research Implementation - Bridging academic advancements to practical applications
I'm actively seeking opportunities to collaborate on projects involving:
- 🔍 Knowledge-Enhanced LLM Systems
- 🧠 Graph-Based Reasoning Architectures
- 🔄 Multi-Agent AI Frameworks
- 📊 Intelligent Data Analysis Pipelines
Open to discussing innovative AI projects and challenging technical problems!