"Transforming raw data into intelligent AI solutions that revolutionize business operations through advanced analytics and cutting-edge Generative AI"

AI Engineer with 5+ years of hands-on experience designing, deploying, and scaling Production-Grade AI Systems, including advanced Conversational AI Chatbots and multi-agent assistants. Specialized in Generative AI, Large Language Models (LLMs), RAG Systems, Agentic AI, Multi Agent Systems, and MLOps. Proven track record of building end to end AI pipelines from experimentation and evaluation to cloud native deployment and monitoring delivering automation, personalization, and measurable business impact. Skilled in integrating trust, explainability, and fairness into AI solutions while collaborating cross-functionally to create enterprise-grade, innovative AI products.

• 🧠 Generative AI Development: Design and deploy advanced LLM applications with RAG, agents, and multi-modal capabilities
• ⚡ AI Agents: Create autonomous AI agents for task automation and decision-making
• 🛠️ 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
• 🎨 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, JavaScript(Typescript)
• Frameworks & Libraries: FastAPI, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch, OpenCV, MLflow, Django, NodeJs, React, NextJS
• Voice AI & Real-Time Agents: LiveKit, Twilio, Deepgram, Voice AI Agents, Real-time Conversational Systems, Speech-to-text / Text-to-speech pipelines
• Automation & Orchestration: N8n, CI/CD Pipelines, MLOps, AutoML

• Generative AI & LLM Engineering: LangChain, LlamaIndex, RAG (Retrieval-Augmented Generation), LangGraph, CrewAI, HyStack, Autogen, MCP, LangChain JS
• 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)