Headline

SDE @Telaverge Communications | Agentic AI & GraphRAG | Autonomous Systems | Backend Microservices

About

I build production-grade AI systems that move beyond prompts—leveraging agents, retrieval, and structured knowledge. My current work focuses on building LLM-powered agents using LangChain, designing Knowledge Graphs in Neo4j, and implementing GraphRAG pipelines to enable structured reasoning, multi-step decision making, and context-aware automation. Alongside AI systems, I’ve worked on cloud-native microservices and low-latency telecom simulations (5G Core & VoNR), giving me a strong foundation in scalable, production-grade architectures. I’m interested in building AI systems that move beyond prompts—combining agents, tools, graphs, and distributed infrastructure to solve complex problems at scale.

Location

Bengaluru

AI stack

hermes agent

langchain

langgraph

mcp

openai

Work experience

Software Development Engineer at Telaverge Communications, Aug 2024 - Present · 2 yrs 1 mo, On-site, Project: Agentic AI & Knowledge Graph System Development Developing agentic AI applications using Large Language Models with LangChain-based workflows. Building Knowledge Graphs in Neo4j and implementing GraphRAG pipelines to enable structured retrieval and reasoning. Integrating structured graph data with unstructured sources to support context-aware automation and intelligent decision-making.

Software Development Engineer Intern at Telaverge Communications, Oct 2023 - Jul 2024 · 10 mos, Remote, Project: Development of a platform for Automation of Application Deployment and Orchestation Developed RESTful APIs using Python Flask and Swagger in a Kubernetes-orchestrated microservices architecture with Helm Charts. Designed a cloud marketplace for deploying applications in a custom generic format backed by Sonatype Nexus. Implemented CI/CD pipelines and Cron Jobs using Jenkins, with a focus on system reliability and scalability.

Software Engineer Intern at Kanak Jyoti Udyog, Sep 2022 - Feb 2023 · 6 mos, • Developed RESTful APIs for a live vehicle fleet monitoring system (Java Spring Boot + Hibernate), managing data flow across 30 RFID reader booths across Kolkata. • Built third-party SaaS integrations exposing foreign client APIs with role-based access control and audit-safe data access patterns.

Financial NLP Engineer Intern at Indian Institute of Technology, Patna, Apr 2022 - Jul 2022 · 4 mos

Education

Bachelor of Technology, Information Technology, Techno International new town