Rakesh Kumar Tai

About Rakesh Kumar Tai

I build AI systems that scale to millions of users.Currently at Autodesk, I design and develop enterprise AI platforms—architecting multi-agent orchestration systems, RAG pipelines, and real-time streaming services that power intelligent assistants across Autodesk\'s product ecosystem.My journey spans Amazon, Deloitte, and TCS, where I built scalable backend systems, data pipelines, and self-service tools on AWS. Today, I focus on the cutting edge: LLM integration, agent frameworks, and cloud-native AI infrastructure.What I work with: → AI/ML: LLMs, RAG, Agent Orchestration, AWS Bedrock → Backend: Python, FastAPI, Microservices, Async Systems → Cloud: AWS (DynamoDB, S3, Lambda), Infrastructure as Code, EMR, ECS, FIS, Bedrock → Frontend: React, TypeScript → Observability: OpenTelemetry, Distributed Tracing, Splunk, DynatraceOpen to connecting with engineers, AI practitioners, and anyone building interesting things.

Experience

1. Senior Software Engineer

   Autodesk

   Apr 2025 — Present

   Building the next generation of AI-powered experiences for Autodesk\'s enterprise customers. AI Platform Development• Architecting multi-agent orchestration systems that route user queries to domain-specific AI agents, enabling intelligent responses across diverse product contexts• Designing and implementing RAG (Retrieval Augmented Generation) pipelines that ground LLM responses in real-time document context, improving response accuracy and relevance• Building streaming AI services using FastAPI and async Python, delivering real-time LLM responses with sub-second latencyBackend Engineering• Developing production microservices handling high-throughput API traffic with comprehensive error handling and graceful degradation• Implementing distributed tracing with OpenTelemetry for end-to-end observability across multi-service architectures• Designing scalable data persistence layers using AWS DynamoDB and S3 for conversation history, user artifacts, and vector storageCross-functional Impact• Collaborating with product, design teams to translate AI capabilities into user-facing features• Contributing to frontend development using React and TypeScript to deliver cohesive full-stack experiences• Establishing code quality standards and best practices for maintainable, testable AI systemsTech: Python, FastAPI, AWS (Bedrock, DynamoDB, S3), React, TypeScript, OpenTelemetry, Strands SDK, LLMs, RAG

Education

• Gayatri Vidya Parishad College of Engineering (Autonomous), 530048(CC-13)

  Btech, Computer Science

  2016 — 2020