I am an AI Engineer focused on building Generative AI, RAG, Agentic AI, and LLM-powered applications using Python and modern AI frameworks.
I work on designing and implementing AI systems that combine LLMs, retrieval pipelines, vector databases, agents, cloud services, and scalable application infrastructure.
- 🎓 Graduated in 2022 from Pimpri Chinchwad College of Engineering, Pune
- 🤖 AI Engineer focused on Generative AI, RAG, Agentic AI, and LLM applications
- 🧠 Working with LLMs, Prompt Engineering, RAG, AI Agents, LangChain, LangGraph, and Amazon Bedrock
- 🔎 Building production-oriented RAG pipelines involving document parsing, chunking, embeddings, vector search, retrieval, reranking, and LLM generation
- 🧩 Exploring Agentic AI architectures, tool calling, multi-agent workflows, and AI agents integrated with enterprise systems
- 🐍 Strong focus on Python for AI/ML application development
- ☁️ Building AI applications using AWS and Amazon Bedrock
- 🗄️ Experience with SQL, MySQL, Vector Databases, and semantic search
- 📄 Working with document intelligence, including PDF/document parsing, OCR, tables, images, and structured document extraction
- 🚀 Building and deploying scalable AI applications using Docker and Kubernetes
- 🔧 Experienced with cloud-native technologies including AWS, Docker, Kubernetes, GitHub Actions, and Terraform
- AI Agents
- Tool Calling
- Agent Workflows
- Multi-Agent Systems
- LangGraph
- Enterprise AI Agents
- Agent-to-System Integrations
- Document Ingestion
- Document Parsing
- OCR
- Intelligent Chunking
- Embedding Generation
- Vector Search
- Semantic Retrieval
- Reranking
- Context Optimization
- Retrieval Evaluation
- RAG Evaluation & Observability
- Prompt Engineering
- LLM Orchestration
- Structured Outputs
- Function / Tool Calling
- Model Selection
- Model Evaluation
- Context Management
- LLM Application Architecture
- Amazon Bedrock
- AWS Lambda
- Amazon S3
- Containerized AI Applications
- Kubernetes-based AI Workloads
- Scalable AI Application Architecture
