Naveen Kumar
Verified Expert in Engineering
AI Architect, Engineer, and Developer
Remote, United States
Toptal member since September 23, 2026
Naveen is an AI architect and engineer with 19+ years of experience in software engineering, architecture, and technology leadership for clients such as Trimble and Princess Cruises. His primary expertise is in AWS Bedrock, LangGraph, and Python for enterprise SaaS and generative AI platforms, where he thrives in cloud-native environments. Naveen reduced the requirements sign-off timeline from 18 months to days by architecting an AI-driven requirements-to-prototype pipeline at Trimble.
Portfolio
Experience
- Amazon EKS - 10 years
- AWS IoT - 7 years
- Responsible AI - 6 years
- LangChain - 5 years
- LangGraph - 5 years
- Prompt Engineering - 4 years
- LLM Agents - 3 years
- Azure AI Foundry - 3 years
Preferred Environment
AWS IoT, Azure, Google Cloud, Docker, Helm, Terraform, Amazon EKS, ECR, Fargate
The most amazing...
...things I've designed are multi-agent architectures featuring planning, tool use, memory, and human-in-the-loop capabilities for robust AI solutions.
Work Experience
Lead AI Engineer
Trimble
- Applied agentic AI to use cases, including intelligent fleet management, customer support, operational analytics, document processing, and predictive insights.
- Developed RAG pipelines integrating enterprise documents, structured data, vector search, and APIs to provide context-aware responses and recommendations.
- Integrated agents with enterprise systems through MCP servers, REST APIs, databases, Snowflake, data lakes, and cloud services, enabling agents to securely retrieve information and perform business actions.
AI Engineer
Trimble
- Modernized cruise data platforms for excursions, ticketing, and seat assignments. Automated data workflows, improved data quality, and enhanced SharePoint/Power Platform solutions while translating business needs into scalable technical solutions.
- Designed and implemented agentic AI solutions using multi-agent orchestration, RAG, LLMs, and enterprise data sources to automate complex business workflows. Built intelligent agents using LangGraph, LangChain, MCP, AWS Bedrock, and Google Vertex AI.
- Implemented agent memory, planning, human-in-the-loop, guardrails, and evaluation frameworks to improve reliability, security, and production readiness.
- Architected AI agents capable of integrating with cloud services, data lakes, Snowflake, REST APIs, and microservices to execute multi-step business processes.
Senior Data Engineering Consultant
Princess Cruises
- Developed agentic solutions for vendor and contract management in a forestry application, reducing delivery time from 2 years to 6 months and enabling earlier revenue generation.
- Automated data movement and validation processes, improving data quality and reducing manual effort.
- Modernized cruise data platforms for excursions, ticketing, and seat assignments. Automated data workflows, improved data quality, and enhanced SharePoint/Power Platform solutions.
Engineering Manager | Lead Architect
Trimble
- Led engineering teams of 11-20 engineers to deliver enterprise SaaS platforms on AWS and Azure, designing containerized services with Docker and Kubernetes, and implementing high-availability architecture with failover and redundancy.
- Embedded classification and forecasting machine-learning models into the cloud platform using Python and AWS SageMaker, establishing an architecture that enabled subsequent GenAI and AI-agent capabilities.
- Led cloud migration to AWS using Amazon EKS and introduced microservices architecture, applying evaluation/guardrail frameworks to ensure compliance.
- Mentored a team of 7 engineers, which shortened deployment cycles and improved system scalability.
Engineering Lead | Technical Manager | Software Engineer
Trimble
- Progressed from software engineer to technical manager to engineering lead over 14 years, delivering enterprise SaaS applications, cloud platforms, and distributed systems.
- Applied machine learning, including classification, forecasting, and recommendation logic, within enterprise SaaS features from 2018 onward.
- Led cross-functional teams across North America, Europe, and India.
Experience
iFleet Agent | Intelligent Fleet Management Platform
The solution uses LangGraph, LLMs, MCP tools, vector search, and cloud data platforms to enable agents to reason over vehicle, driver, maintenance, and operational data. Multi-agent workflows support use cases such as driver safety analysis, predictive maintenance, fleet performance optimization, anomaly detection, and natural-language fleet analytics. The architecture incorporates human-in-the-loop approvals, enterprise security, observability, guardrails, and evaluation frameworks to support production-scale deployment.
AI Governance Platform
Without it, each team makes its own choices on data access, guardrails, evaluation, and logging. Risk becomes invisible, audits become manual, and one incident stalls every deployment. The platform replaces per-project judgment with shared, enforceable policy.
Customer 360 AI Chatbot | Enterprise Agentic AI Solution
KEY CONTRIBUTIONS
• Architected a multi-agent workflow with specialized agents for customer profile retrieval, transaction analysis, interaction history, knowledge retrieval, and response generation.
• Implemented RAG architecture to ground LLM responses in enterprise customer data, documents, policies, and knowledge bases while reducing hallucinations.
• Built agent orchestration using LangGraph/LLM-based workflows, enabling dynamic routing, tool calling, state management, context propagation, and multi-step reasoning.
Education
Master's Degree in Computer Science
National Institute of Technology Karnataka - Surathkal, India
Certifications
Google Cloud Certified: Generative AI Leader
AWS Certified Solutions Architect: Associate
AWS
Skills
Libraries/APIs
Node.js, React, API Development, REST APIs, OpenAI API, Pydantic, Stripe Connect, Twilio API, Claude API
Tools
Claude, Claude Code, ChatGPT, Claude Agent SDK, GitHub, AI Prompts, Amazon EKS, AWS IAM, Codex, GraphRAG, AWS Cloud Development Kit (CDK), Amazon Cognito, Git, Celery, Helm, Terraform, BigQuery, Google Kubernetes Engine (GKE)
Languages
Python, Python 3, JavaScript, TypeScript, GraphQL, Google Apps Script, HTML, SQL, Java, C#
Frameworks
Agentic Frameworks, LangGraph, LlamaIndex, Fastify, Next.js
Platforms
Amazon Web Services (AWS), Docker, Azure, AWS Lambda, Harness, Grok, Twilio, LangSmith, Vertex AI, AWS IoT, Kubernetes, Google Cloud Platform (GCP)
Paradigms
Role-based Access Control (RBAC), Best Practices, Web Application Architecture, ACID, Model Context Protocol (MCP)
Storage
Amazon S3 (AWS S3), JSON, PostgreSQL, Data Pipelines, Google Cloud SQL, Amazon DynamoDB, Google Cloud
Other
AI Agents, Prompt Engineering, RESTFul APIs, Agentic AI, Integrations, Artificial Intelligence (AI), Architecture, RAG Systems, Machine Learning, Full-stack, APIs, Cursor AI, Error Handling, Integration, AI-assisted Development, System Architecture, Software Architecture, Data Modeling, AI Compliance, Vibe Coding, Compliance, AI Workflow, ChatGPT Prompts, Mathematics, Applied Mathematics, Product Roadmaps, Debugging, Enterprise Architecture, AI Integration, High Availability (HA), State Machines, Reporting, Cloud Platforms, ECR, LangChain, Large Language Models (LLMs), LLM Agents, API Integration, CI/CD Pipelines, Data Engineering, OpenAI, LLM Integration, Back-end, WebSockets, FastAPI, AI-generated Code, Generative Artificial Intelligence (GenAI), AI Agent Orchestration, AI Tools, Data Integrity, Authentication, Access Control, Data Visualization, Product Owner, Data Architecture, Scalability, Vite, Full-stack Development, OpenTelemetry, BMAD, AI Engineering, Agentic Coding, Microsoft Azure, Technical Leadership, Single Sign-on (SSO), AI Consulting, Statistics, Optimization, Go-to-market (GTM) Strategy, Early-stage Startups, Knowledge Graphs, Multi-agent Systems, Agentic AI Systems, AI Voice Agents, Code Review, Authorization, Webhooks, Azure Blob Storage, Microsoft 365, Microsoft Graph API, OAuth, Chrome Extensions, Retrieval-augmented Generation (RAG), System Integration, Leadership, Reports, SQL Server, AI Governance, Amazon Bedrock, Workflow Automation & System Integration, RAG Architecture, Agentic RAG Systems, Dashboards, Fargate, AWS X-Ray, Context Engineering, Azure AI Foundry, Responsible AI, AI Security, High Availability Architecture, Cloud Architecture, Chunking, Re-ranking, Evaluation, Machine Learning Operations (MLOps), Databricks Unity Catalog, Medallion Architecture, Computer, Operations, Software Development Lifecycle (SDLC), Conversational AI, Chatbots, Speech-to-Text (STT), Text-to-Speech (TTS), Base44, Booking Systems, Customer Relationship Management (CRM), Booking Apps
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