"Transforming raw data into intelligent AI solutions that revolutionize business operations through advanced analytics and cutting-edge Generative AI"
I'm a passionate AI Engineer and Data Scientist specializing in Generative AI and LLM Development with 5+ years of experience building data-driven AI systems. My expertise spans the complete data-to-intelligence pipeline: from exploratory data analysis and statistical modeling to deploying sophisticated Large Language Model applications. I excel at combining traditional data science methodologies with modern generative AI to create comprehensive, production-ready solutions that deliver measurable business impact.
- 🧠 Generative AI Development: Design and deploy advanced LLM applications with RAG, agents, and multi-modal capabilities
- 🛠️ AI Microservice Development: Architect and deploy scalable, containerized AI services for seamless integration into enterprise systems
- 📊 Advanced Data Science: Perform complex Data analysis, predictive modeling, and data-driven insights generation
- 🔧 LLM Engineering: Fine-tune, optimize, and deploy Large Language Models for specific business use cases
- 💬 Conversational AI: Build intelligent chatbots, virtual assistants, and dialogue systems
- 📈 Analytics & Insights: Build comprehensive dashboards and reporting systems for strategic decision-making
- 🔗 RAG Systems: Develop Retrieval-Augmented Generation solutions for enterprise knowledge management
- ⚡ AI Agents: Create autonomous AI agents for task automation and decision-making
- 🎨 Multi-modal AI: Integrate text, image, audio, and video processing in unified AI systems
- 🔄 ML Pipeline Development: Build end-to-end machine learning workflows from data ingestion to model deployment and monitoring
- 🧪 Experimentation: Design and execute A/B tests, statistical experiments, and ML model validation
- 🚀 LLM MLOps: Implement specialized CI/CD pipelines for generative AI model deployment and monitoring
- 📦 Data Pipeline & Automation: Design and automate robust ETL/ELT pipelines for reliable, data processing
- 📊 Data Dashboard Visualizations: Develop interactive and insightful dashboards for real-time analytics and decision support
- 📊 AI Strategy: Provide technical leadership on AI adoption and data-driven transformation strategies
- Languages: Python
- Frameworks & Libraries: FastAPI, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch, OpenCV, MLflow, Django
- Automation & Orchestration: N8n, CI/CD Pipelines, MLOps, AutoML
- Generative AI & LLM Engineering: OpenAI API, Azure OpenAI, LangChain, LlamaIndex, RAG (Retrieval-Augmented Generation), LangGraph, CrewAI, HyStack, Autogen, MCP
- Machine Learning & Deep Learning: Regression, Classification, CNN, RNN, LSTM, Transformers (BERT, Vision Transformers), Transfer Learning, Large Language Models (LLMs), Hugging Face
- AI Solutions: AI Microservices, Conversational AI, AI Agents, Multi-modal AI, LLM MLOps, RAG Systems
- Core Skills: Statistical Modeling, Hypothesis Testing, Data Analysis, Experimentation (A/B testing)
- Data Pipelines: Core Data Engeeing, ETL/ELT, Data Ingestion, Data Processing & Automation
- Big Data: PySpark , Snowflake
- Visualization & Dashboards: Power BI , Tableau
- Design & Architecture: Microservices Architecture, API Design, Modular Code Design, Software Design Patterns, Clean Architecture
- Development Practices: Version Control (Git/GitHub), Code Review, Documentation
- Deployment & Monitoring: Containerization (Docker), Cloud Deployments, Logging & Monitoring, Scalability & Performance Optimization
- Cloud Platforms: AWS (SageMaker, S3, Lambda, Glue), Azure (Data Factory, Azure Functions, AI Studio, Syanpse, Blob Storage)
- Databases: MySQL, Snowflake, Oracle SQL, Microsoft SQL Server
- Data Storage & Management: Vector Databases (Pinecone, ChromaDB, FAISS, Qdrant)