Mohanraj is available for hire
Hire MohanrajMohanraj Srinivasan
Verified Expert in Engineering
AI Engineering Architect and Developer
Chennai, India
Toptal member since October 2, 2026
Bio
Mohanraj is an AI engineering architect with 12+ years of experience in agentic systems and enterprise AI governance. His expertise spans Kubernetes, GCP, and AWS for the telecommunications industry. At Verizon, Mohanraj defined and owned AI reference architectures for a Fortune 500 telecom, leading multi-agent orchestration and secure Kubernetes deployments.
Portfolio
Verizon
Grafana, Galileo, AI Engineering, LangGraph, Agentic Systems...
Verizon
LangGraph, Neo4j, ChromaDB, Artificial Intelligence (AI)...
Verizon
LSTM, vRanger, Tableau, Looker, Python
Experience
- Oracle - 12 years
- Python - 10 years
- Data Science - 6 years
- Kafka - 6 years
- Druid.io - 5 years
- Apache Hive - 4 years
- AI Engineering - 3 years
- GraphRAG - 2 years
Work Experience
Principal Engineer, AI Architecture
2025 - PRESENT
Verizon
- Owned the AI reference architecture for Verizon's Autonomous Network Operations platform, integrating applications across the awareness, correlation, decision, and action layers.
- Architected a correlation engine that processed millions of events in real time to support root-cause-based, autonomous decisions.
- Introduced autonomous agents that advanced the network from AI-generated recommendations to direct, actionable responses, defining the architectural guardrails for safe autonomous action and monitoring agent behavior through Grafana and Galileo.
Technologies: Grafana, Galileo, AI Engineering, LangGraph, Agentic Systems, Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-augmented Generation (RAG), Python, RAG Systems, RAG Pipelines
Principal Engineer, System Architecture
2023 - 2025
Verizon
- Architected enterprise AI solutions aligned to Verizon Enterprise Architecture standards, covering integration, scalability, and security.
- Built agentic workflows using LangGraph that cut manual intervention by 60% and defined model governance guardrails for an AI governance portal, reducing compliance risk by 40% through automated risk scoring and auditing.
- Designed GraphRAG agents grounded in Neo4j knowledge graphs with ChromaDB vector retrieval for Financial Services Cloud and customer support, lifting retrieval accuracy by 45%.
- Owned the system architecture runway for the fixed wireless access agile release train as product owner, resulting in the proactive care program and broadband roadmap and reducing customer churn.
Technologies: LangGraph, Neo4j, ChromaDB, Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-augmented Generation (RAG), GraphRAG, Python, RAG Systems, RAG Pipelines
Senior Engineering Consultant, Data Engineering
2022 - 2023
Verizon
- Built an LSTM forecasting model for vRAN site builds that fed into large-scale annual capital planning, and presented the approach at Verizon TechDay.
- Led a 32-person Agile team across the US and India as tech lead and SAFe scrum master.
- Rebuilt the executive Tableau and Looker reporting layer.
Technologies: LSTM, vRanger, Tableau, Looker, Python
Engineer III Consultant, Data Engineering
2020 - 2021
Verizon
- Re-architected the real-time monitoring platform in 8 weeks onto a Druid Lambda data model, engineering it to handle 1.6 GBPS of telemetry under 10ms query latency.
- Deployed the Spring Boot and React layers on Kubernetes for a monitoring tool used by 500+ engineers.
- Cut infrastructure cost 25% while lifting platform reliability to 99.99%.
Technologies: Spring Boot, Kubernetes, Python
Member Technical Staff II, Systems Engineering
2017 - 2020
Verizon
- Migrated Verizon India onto the YahooGrid compute cluster.
- Rebuilt the CEAM outage detection pipeline as part of the Verizon India platform migration.
- Wrote Spark jobs that cut terabyte-scale customer journey processing down to minutes for 15+ million wireless customers.
Technologies: Spark, Python
Software Engineer
2013 - 2017
Virtusa
- Led Oracle database and ETL development for a telecom order management system for British Telecommunications.
- Built validation-heavy PL/SQL pipelines with an MD5-based consistency check to prevent duplicate records.
- Recognized by the client for outstanding delivery support and reliability throughout the engagement.
Technologies: Oracle database, PL/SQL, Python
Project History
Verizon | Autonomous Network Operations Platform
Architected and led the development of an autonomous network operations platform for Verizon's telecom infrastructure, combining GraphRAG agents grounded in Neo4j knowledge graphs with ChromaDB vector retrieval to power intelligent root-cause analysis and proactive outage detection.
KEY CONTRIBUTIONS
• Rebuilt the CEAM outage detection pipeline using Kafka-based streaming ingestion and Druid for real-time analytics, enabling faster incident triage across large-scale network telemetry.
• Designed LangGraph-based multi-agent workflows to automate diagnostic reasoning previously performed manually by network operations engineers, improving retrieval accuracy by 45% and reducing mean-time-to-resolution.
• Served as lead AI architect, owning the data pipeline design, knowledge graph schema, and agent orchestration logic, and worked cross-functionally with network engineering and data platform teams to bring the solution into production.
KEY CONTRIBUTIONS
• Rebuilt the CEAM outage detection pipeline using Kafka-based streaming ingestion and Druid for real-time analytics, enabling faster incident triage across large-scale network telemetry.
• Designed LangGraph-based multi-agent workflows to automate diagnostic reasoning previously performed manually by network operations engineers, improving retrieval accuracy by 45% and reducing mean-time-to-resolution.
• Served as lead AI architect, owning the data pipeline design, knowledge graph schema, and agent orchestration logic, and worked cross-functionally with network engineering and data platform teams to bring the solution into production.
Education
2020 - 2022
Master's Degree in Data Science and Engineering
Birla Institute of Technology and Science - Pilani, India
2009 - 2014
Bachelor's Degree in Electronics and Communication Engineering
Anna University - Chennai, India
Certifications
JUNE 2026 - PRESENT
AI+ Fundamentals
DECEMBER 2025 - PRESENT
Introduction to Model Context Protocol
Anthropic
NOVEMBER 2025 - PRESENT
AI Fluency Framework and Foundations
Anthropic
JUNE 2024 - PRESENT
Leading Self and Teams
Indian School of Business
JUNE 2021 - PRESENT
Scrum Master Accredited Certification
Scrum Institute
JUNE 2021 - PRESENT
SAFe 5 Practitioner
Scaled Agile, Inc.
Skills
Libraries/APIs
LSTM, PySpark, React
Tools
GraphRAG, Grafana, vRanger, Tableau, Looker, GitHub Copilot, Claude, BigQuery
Languages
Python, Scala, Embedded C
Frameworks
LangGraph, Spring Boot, Spark, Scaled Agile Framework (SAFe)
Paradigms
Agile, Model Context Protocol (MCP)
Platforms
Kubernetes, AWS IoT, Oracle
Storage
Neo4j, PL/SQL, Druid.io, Apache Hive, PostgreSQL, Redis
Other
Kafka, Retrieval-augmented Generation (RAG), RAG Systems, Artificial Intelligence (AI), Large Language Models (LLMs), RAG Pipelines, Galileo, ChromaDB, Oracle database, GCP, AI Engineering, Agentic Systems, Google Antigravity, Model Context Protocol, Data Science, Machine Learning, Streaming Data, Electronics, Leadership, Scrum Master
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