Naman Oli

Software Engineer @ Mercedes-Benz Research and Development India

About

I’m a Software Engineer at Mercedes-Benz Research and Development India, building scalable, production-ready systems across AI, data, and web platforms. My work spans multi-agent AI, Generative AI, high-throughput data engineering, and end-to-end application development. I’ve designed and deployed multi-agent architectures, RAG systems, and a judge-agent pipeline to improve the accuracy and reliability of AI outputs. I also build high-performance data pipelines in PySpark and Databricks, enabling analytics for 15M+ vehicles and reducing infrastructure costs by 50%. On the product side, I developed a Generative AI chatbot used by 2.5K+ technicians daily, and recently built a Cost Agent for production plants using FastMCP with a full Next.js + TypeScript frontend—featuring execution timelines, typewriter-style interactions, follow-up question handling, developer tools, and custom MCP server integration. As a full-stack developer, I’ve improved dashboard performance by 35%, built scalable backend APIs with Java Spring Boot, and delivered reliable solutions across diagnostics, sales, and EV charging systems. I focus on combining full-stack engineering, AI, and data to create impactful, user-centric products that work at scale.

Country

India

City

Bengaluru

Industry

Computer Software

Skill

Retrieval-Augmented Generation (RAG), Multi-agent Systems, AI Agents, Redux.js, REST APIs, GraphQL, PostgreSQL, Hive, Microsoft Azure, Docker, Apache Spark, Redis, Continuous Integration and Continuous Delivery (CI/CD), Microsoft Fabric, Springboot, Generative AI, PySpark, Azure Databricks, Full-Stack Development, Data Science

Experience

Software Engineer

Mercedes-Benz Research and Development India

2023-8 - Present · 3 yrs 2 mos

Bengaluru, Karnataka, India

• Developed a Cost Agent for production plants using FastMCP, and built the full frontend in Next.js + TypeScript with features like execution timeline visualization, typewriter controls, follow-up question handling, Developer Mode (tool calls, parameters, JSON logs), and support for adding custom MCP servers via UI. • Developed an integrated multi-agent AI architecture using LLM orchestration, RAG (Retrieval-Augmented Generation), and context-aware memory to enable seamless collaboration between specialized agents. • Implemented a judge agent pipeline that evaluated, ranked, and refined responses from other agents to ensure accuracy, coherence, and reliability before user delivery. • Engineered high-throughput data pipelines in PySpark and Databricks, reducing infra cost by 50% and enabling real-time analytics on 15M+ vehicles. • Developed and scaled a Generative AI chatbot for technicians to 2.5k daily active users. • Built scalable web applications using React.js, optimizing diagnostic dashboards and UI performance by 35%. • Designed and deployed backend APIs with Java, Spring Boot and Graph data structures for sales and charging systems.

Software Engineer

MakeMyTrip

2022-5 - 2023-6 · 1 yr 2 mos

Bengaluru, Karnataka, India

• Worked with the Hotel Supply Team to implement the 'Hourly Stays' feature on the Extranet dashboard for hoteliers. • Contributed to TypeScript migration and the integration and setup of GraphQL client. • Development of Booking, Cancellation and Search API's