Bengaluru, Karnataka, India
With over 4 years of experience, I specialize in designing, building, and operationalizing enterprise Generative AI systems, including LLM-driven applications, Retrieval-Augmented Generation (RAG), GraphRAG and multi-agent architectures. My expertise spans agentic AI frameworks, semantic retrieval, model optimization, and cloud-native deployment, supporting the delivery of scalable and secure AI platforms across industries. As an Associate Solutions Architect within a Data & AI consulting practice, I lead the technical design and execution of production-grade GenAI solutions, working closely with engineering teams and client stakeholders. My work focuses on translating business problems into reliable AI systems through thoughtful architecture, reusable frameworks, and responsible AI practices that drive measurable impact and long-term value.
As an Associate Solutions Architect, I work on designing and delivering enterprise-grade Generative AI solutions on AWS, with a focus on multi-agent systems, advanced RAG, multilingual document intelligence, Text-to-SQL, secure AI workflows, and scalable cloud-native deployment. My responsibilities include understanding client requirements, designing solution architectures, preparing technical proposals and implementation plans, building proof-of-concepts, guiding engineering teams, and deploying production-ready GenAI applications on AWS. In this role, I have worked extensively with Amazon Bedrock, Bedrock AgentCore, Strands Agents, LangChain, LangGraph, vector databases, FastAPI, Docker, EKS, EC2, ECR, Cognito, DynamoDB, S3, Redis, and PostgreSQL to build secure, scalable, and business-focused AI platforms.
As a Subject Matter Expert, I led the design and implementation of advanced AWS-based Generative AI solutions for retail automation. My role focused on architecture design, event-driven pipelines, AI/ML integration, vector search, and real-time IoT interactions. I collaborated closely with engineering and product teams to translate innovative retail use cases into scalable, cloud-native solutions. During this tenure, I deepened expertise in Generative AI, vector databases, real-time event-driven pipelines, AWS serverless services, and IoT-enabled workflows, building solutions that delivered both high reliability and low latency in production environments.
As a Senior Research Associate, I worked on more advanced cloud, analytics, automation, and GenAI-focused solutions. My role involved understanding business requirements, designing scalable AWS architectures, preparing technical documentation and SoW inputs, building proof-of-concepts, and supporting implementation and deployment. During this phase, I gained stronger exposure to serverless architectures, data pipelines, NLP-based analytics, RAG concepts, vector databases, and document automation workflows. I also worked closely with delivery, technical, and business teams to convert ideas into practical solutions that could improve productivity, decision-making, and operational efficiency.