I'm a Senior AI/ML Engineer with 8+ years of delivering production-grade LLM systems at scale. My focus areas include LLMOps, agentic AI, and Retrieval-Augmented Generation (RAG). I design low-latency, high-availability AI services using GPT, LLaMA, and Gemini, and I work with LangChain and LangGraph to orchestrate multi-tool workflows in enterprise environments. I collaborate with product, data, and security teams to translate business requirements into AI-powered automation, implement guardrails and evals for compliant, auditable deployments, and continuously improve model accuracy while reducing hallucinations. I regularly deploy on AWS, GCP, and Azure, integrating with tools like Slack, Notion, HubSpot, and Salesforce to enable real-time, grounded insights.

Mohan RN

I'm a Senior AI/ML Engineer with 8+ years of delivering production-grade LLM systems at scale. My focus areas include LLMOps, agentic AI, and Retrieval-Augmented Generation (RAG). I design low-latency, high-availability AI services using GPT, LLaMA, and Gemini, and I work with LangChain and LangGraph to orchestrate multi-tool workflows in enterprise environments. I collaborate with product, data, and security teams to translate business requirements into AI-powered automation, implement guardrails and evals for compliant, auditable deployments, and continuously improve model accuracy while reducing hallucinations. I regularly deploy on AWS, GCP, and Azure, integrating with tools like Slack, Notion, HubSpot, and Salesforce to enable real-time, grounded insights.

Available to hire

I’m a Senior AI/ML Engineer with 8+ years of delivering production-grade LLM systems at scale. My focus areas include LLMOps, agentic AI, and Retrieval-Augmented Generation (RAG). I design low-latency, high-availability AI services using GPT, LLaMA, and Gemini, and I work with LangChain and LangGraph to orchestrate multi-tool workflows in enterprise environments.

I collaborate with product, data, and security teams to translate business requirements into AI-powered automation, implement guardrails and evals for compliant, auditable deployments, and continuously improve model accuracy while reducing hallucinations. I regularly deploy on AWS, GCP, and Azure, integrating with tools like Slack, Notion, HubSpot, and Salesforce to enable real-time, grounded insights.

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Experience Level

Expert
Expert
Expert
Expert
Expert

Language

English
Fluent

Work Experience

Senior AI/ML Engineer at Elevance Health Inc
November 1, 2024 - Present
Designed and implemented agentic AI workflows on Google Cloud Platform using LangChain and LangGraph, deployed on Cloud Run and GKE, enabling autonomous multi-step reasoning and tool orchestration across enterprise systems. Built RAG pipelines with Vertex AI Embeddings, FAISS, OpenSearch, BigQuery, and Cloud Storage to deliver grounded responses; implemented confidence scoring, citation grounding, and governance and monitoring via Vertex AI Model Monitoring and Cloud Monitoring. Led secure API layers with Cloud Functions and API Gateway; integrated with ServiceNow workflows and AEM endpoints for automated triage and remediation.
AI/ML Engineer at Broadridge Financial
September 1, 2022 - November 1, 2024
Implemented agentic AI workflows on GCP using LangChain and LangGraph for autonomous decision-making; developed GPU-accelerated models on Vertex AI; built and deployed RAG pipelines with FAISS/OpenSearch and BigQuery; containerized inference services via FastAPI on Cloud Run/GKE and AKS; conducted LLM evaluations and CI/CD governance; integrated geospatial data processing and Power BI-based reporting for enterprise analytics.
AI/ML Engineer at HCL Technologies Ltd
October 1, 2019 - July 1, 2022
Designed prompt engineering strategies, built GenAI services, and implemented MLOps practices across Azure and AWS; developed data pipelines with PySpark/Databricks, deployed models via Azure DevOps, and built retrieval-augmented pipelines; supported geospatial analytics and dashboard reporting with Power BI; implemented containerized inference services and scalable data transformations.
Machine Learning Engineer (Data Analyst, SQL, Python) at Thomson Reuters
August 1, 2017 - October 1, 2019
Developed ML models using supervised/unsupervised techniques; deployed pipelines on Databricks for scalable training, built GenAI chatbots and RESTful APIs (Flask/FastAPI) for healthcare analytics; implemented data validation, drift detection, and MLOps practices with Git, Pachyderm, and cloud-native tools; built SQL-based feature stores and geospatial data processing, enabling location-aware analytics and reporting.

Education

Master of Science in Information Science at Trine University
January 11, 2030 - April 17, 2026
Bachelor of Technology in Computer Science Engineering at Jayamukhi Institute of Technological Sciences
January 11, 2030 - April 17, 2026

Qualifications

Certified Microsoft Azure AI Fundamentals
January 11, 2030 - April 17, 2026
Certified Generative AI by Visualpath
January 11, 2030 - April 17, 2026

Industry Experience

Software & Internet, Financial Services, Healthcare, Media & Entertainment, Professional Services