Lohit Sundara Mahalingam profile photo 1 on Tal

Lohit Sundara Mahalingam

Software Engineer @ Zoho | Backend • AI • Distributed Systems

Bengaluru

4+ years of work experience

Zoho
Jun 20233 y 3 moPresent

Chennai, Tamil Nadu, India

Design and develop backend services and AI-powered capabilities for Zoho's enterprise network monitoring and observability platform. Work spans distributed systems, telemetry processing, event correlation, AI agents, LLM-powered workflows, and production-scale backend optimization. Key Contributions: AI & Intelligent Systems * Built an LLM-powered support assistant using Retrieval-Augmented Generation (RAG), reducing manual support effort through context-aware responses. * Developed an AI-powered log analysis platform capable of identifying error patterns, performing automated root cause analysis, and assisting engineers during production incidents. * Designed a Natural Language to SQL engine that enables users to query monitoring data using conversational language. * Built Agentic AI workflows using the Model Context Protocol (MCP) to automate debugging and backend operations. * Integrated vector search, embeddings, and LLM reasoning into enterprise observability products. Distributed Systems & Backend Engineering * Designed backend services for large-scale telemetry collection and monitoring. * Built event-driven processing pipelines for real-time alerts and monitoring events. * Developed an Alert Correlation Engine to reduce duplicate alerts and improve operational visibility. * Optimized backend performance through concurrency improvements, caching strategies, and query optimization, significantly reducing API latency. * Designed scalable microservices for enterprise monitoring workloads. Platform & Infrastructure * Built a stateless Remote MCP Server enabling centralized AI agent communication and independently scalable tool execution. * Developed backend integrations for multiple enterprise monitoring platforms and network vendors. * Improved system reliability, scalability, and production stability across critical monitoring components.
Zoho
Aug 202210 mosMay 2023

Chennai, Tamil Nadu, India

Worked on backend systems for network monitoring and data processing, gaining hands-on experience in software development, distributed systems fundamentals, and network management technologies. Key Contributions • Assisted in developing and testing SNMP-based modules for collecting and analyzing network device metrics. • Built a network monitoring utility to track device availability and operational metrics, gaining experience with real-time data processing. • Contributed to refactoring legacy Java components into modular services, improving code maintainability and readability. • Supported debugging, testing, and performance validation of backend monitoring workflows. • Collaborated with senior engineers to implement and validate monitoring features across network management modules. Technologies & Exposure • Worked with Java, SNMP libraries, PostgreSQL, and message queue–based communication systems. • Gained practical experience in backend development, network monitoring concepts, and scalable software design principles. • Developed foundational knowledge of system reliability, observability, and distributed application architectures.

Lohit’s AI Stack

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claude
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langchain
langchain
langgraph
langgraph
mcp
mcp

Education

Bannari amman institute of technology

B.E, Computer Science

Bannari amman institute of technology

20194 yrs2023
Bannari amman institute of technology

Bachelor of Engineering, Computational Science

Bannari amman institute of technology

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Headline

Software Engineer @ Zoho | Backend • AI • Distributed Systems

About

I'm a Software Engineer at Zoho Corporation, where I build distributed backend systems and AI-powered products for large-scale network monitoring and observability platforms. Over the last three years, I've worked across backend engineering, distributed systems, and applied AI—designing systems that process high-volume telemetry, correlate millions of monitoring events, and help engineers diagnose production issues faster. More recently, my work has shifted toward AI Systems Engineering, where I build production-ready applications powered by Large Language Models rather than experimenting with prompts. My recent work includes: • Building LLM-powered support assistants using Retrieval-Augmented Generation (RAG) • Developing AI-driven log analysis and root cause analysis systems • Designing natural language to SQL systems for report generation. • Building Agentic AI workflows using the Model Context Protocol (MCP) • Creating scalable AI services that integrate with enterprise monitoring platforms Alongside AI systems, I continue to work extensively on backend infrastructure: • Distributed Systems & Microservices • Event-Driven Architecture • High-throughput Backend Services • Performance Optimization & Concurrency • Caching, Observability, and Production Reliability Technologies Languages: Java, Go, Python Backend: Spring Boot, Kafka, gRPC, Redis, PostgreSQL Cloud & Infrastructure: Kubernetes, Docker, AWS AI: LLMs, RAG, LangChain, LangGraph, MCP, Vector Search, Embeddings, AI Agents I enjoy solving problems from first principles—whether that's understanding distributed systems internals, designing scalable architectures, optimizing backend performance, or building intelligent software that combines classical engineering with modern AI. I'm particularly interested in the intersection of Distributed Systems, AI Infrastructure, Agentic AI, Developer Tools, and Production-Scale Machine Learning Systems.

Location

Bengaluru

AI stack

claude

cursor

hugging face

langchain

langgraph

mcp

Work experience

Member of Technical Staff at Zoho, Jun 2023 - Present · 3 y 3 mo, Chennai, Tamil Nadu, India, Design and develop backend services and AI-powered capabilities for Zoho's enterprise network monitoring and observability platform. Work spans distributed systems, telemetry processing, event correlation, AI agents, LLM-powered workflows, and production-scale backend optimization. Key Contributions: AI & Intelligent Systems * Built an LLM-powered support assistant using Retrieval-Augmented Generation (RAG), reducing manual support effort through context-aware responses. * Developed an AI-powered log analysis platform capable of identifying error patterns, performing automated root cause analysis, and assisting engineers during production incidents. * Designed a Natural Language to SQL engine that enables users to query monitoring data using conversational language. * Built Agentic AI workflows using the Model Context Protocol (MCP) to automate debugging and backend operations. * Integrated vector search, embeddings, and LLM reasoning into enterprise observability products. Distributed Systems & Backend Engineering * Designed backend services for large-scale telemetry collection and monitoring. * Built event-driven processing pipelines for real-time alerts and monitoring events. * Developed an Alert Correlation Engine to reduce duplicate alerts and improve operational visibility. * Optimized backend performance through concurrency improvements, caching strategies, and query optimization, significantly reducing API latency. * Designed scalable microservices for enterprise monitoring workloads. Platform & Infrastructure * Built a stateless Remote MCP Server enabling centralized AI agent communication and independently scalable tool execution. * Developed backend integrations for multiple enterprise monitoring platforms and network vendors. * Improved system reliability, scalability, and production stability across critical monitoring components.

Project Trainee at Zoho, Aug 2022 - May 2023 · 10 mos, Chennai, Tamil Nadu, India, Worked on backend systems for network monitoring and data processing, gaining hands-on experience in software development, distributed systems fundamentals, and network management technologies. Key Contributions • Assisted in developing and testing SNMP-based modules for collecting and analyzing network device metrics. • Built a network monitoring utility to track device availability and operational metrics, gaining experience with real-time data processing. • Contributed to refactoring legacy Java components into modular services, improving code maintainability and readability. • Supported debugging, testing, and performance validation of backend monitoring workflows. • Collaborated with senior engineers to implement and validate monitoring features across network management modules. Technologies & Exposure • Worked with Java, SNMP libraries, PostgreSQL, and message queue–based communication systems. • Gained practical experience in backend development, network monitoring concepts, and scalable software design principles. • Developed foundational knowledge of system reliability, observability, and distributed application architectures.

Education

B.E, Computer Science, Bannari amman institute of technology

Bachelor of Engineering, Computational Science, Bannari amman institute of technology