Atul I.

Next-Gen Developer Building Intelligent Systems I architect and deploy AI-powered solutions that transform business operations. With expertise in Large Language Models (LLMs), generative AI, and cloud-native architectures, I bridge the gap between cutting-edge research and production-ready applications. Core Expertise: • Generative AI Development: RAG systems, fine-tuning LLMs (GPT-4, Gemini, Llama2), and AI agent workflows • ML Engineering: Productionizing models with MLOps, vector databases, and semantic search • Cloud AI Services: AWS Bedrock, Azure AI, GCP Vertex AI implementations, VPC, IAM, EC2, Lambda etc. • Full-Stack AI: API development (FastAPI, Flask) with React/Next.js frontends Recent Impact: ✓ Built industrial AI assistant using LangGraph + Pinecone that reduced equipment downtime by 35% ✓ Automated insurance claim processing achieving 90% accuracy with document AI pipelines ✓ Developed investor analytics platform leveraging RAG architecture with namespace isolation Technical Arsenal: AI/ML Stack: LLMs: OpenAI, Anthropic, Mistral, Gemini Frameworks: LangGraph, LlamaIndex, HuggingFace Vector DBs: Pinecone, Weaviate, FAISS MLOps: MLflow, Weights & Biases Cloud & DevOps: AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure AI Kubernetes, Terraform, ArgoCD CI/CD for ML pipelines Full-Stack Development: Python (FastAPI, Django), Node.js React/Next.js, TypeScript PostgreSQL, MongoDB Key points where I can help you: → Production-Ready AI: From PoC to scalable deployment → Full-Cycle Ownership: Architecture → Development → Optimization → Domain Experience: Fintech, Insurance, Industrial IoT → Cost-Efficient Solutions: Right-size models for business needs