Proven AI Engineer with 6 years of experience in industry.AI-powered product development, full-stack engineering, and machine learning. Adept at building scalable AI solutions, integrating LLMs (OpenAI, Azure OpenAI, DeepSeek), and optimizing Retrieval-Augmented Generation (RAG) workflows. Key Expertise: -AI & LLM Development: Built AI-powered legal and compliance solutions, designed Graph RAG pipelines, and optimized retrieval models for legal search. Developed Vidur AI, integrating knowledge graphs, metadata processing, and document intelligence. -Full-Stack & System Architecture: Developed APIs, backend systems, and frontend platforms using Firebase, AWS, ECS Fargate, and PostgreSQL. Automated data ingestion and integrated Google Play Store & App Store workflows. -Data Engineering & Large-Scale Scraping: Built high-scale data pipelines that extracted, processed, and structured over 1 million legal documents, converting unstructured data into AI-ready formats. Automated advanced metadata ingestion, optimizing retrieval workflows for AI-driven legal search and compliance analysis. -DevOps, Security & AI Infrastructure: Designed and implemented secure, high-efficiency CI/CD pipelines using GitHub Actions, AWS CodePipeline, and SonarQube. Developed enterprise-grade RBAC frameworks, AWS GuardDuty security monitoring, and IAM policies to ensure robust access control and compliance. -AI Product Benchmarking & Evaluation Pipelines: Led AI evaluation pipeline development, benchmarking OpenAI, DeepSeek, and custom RAG models for performance, accuracy, and cost optimization. Designed frameworks for testing retrieval consistency, reranking algorithms, and citation reliability. -Cross-Team AI & Full-Stack Collaboration: Orchestrated seamless collaboration between AI, full-stack, and DevOps teams to accelerate product development. Spearheaded scalable AI integrations across UI/UX, backend, analytics, and enterprise compliance solutions. -Automation & Cost Optimization: Engineered automated data handling pipelines to streamline AI training, model evaluation, and real-time ingestion. Led cost optimization initiatives for AI applications, fine-tuning infrastructure, API usage, and storage solutions to maximize efficiency. Holding multiple patents, a strong foundation in mechanical engineering (NIT Surat, IIT Delhi), and expertise in AI-driven automation, I bridge the gap between cutting-edge technology and real-world applications. Passionate about continuous improvement, AI-driven compliance, and scalable automation for faster product introduction to market.