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Nithish Karanam

@nithishkaranam

Forward Deployed AI Engineer at Oracle, delivering an incident intelligence platform that reduced incident triage time by 40%.

United States

Message

What I'm looking for

I'm looking for a client-facing AI engineering role where I can take solutions from discovery and prototyping through production deployment, adoption, and ongoing optimization. I'm comfortable with up to 30% travel to client locations.

At Oracle, I led a production AI Cloud Operations and Incident Intelligence Platform from requirements gathering through deployment and adoption, reducing incident triage time by 40%. I built multi-agent workflows with LangGraph, LangChain, and MCP, connecting agents to operational telemetry and services.

I engineered retrieval systems with Oracle Database 23ai AI Vector Search and automated document ingestion pipelines across operational content. By tuning retrieval and LLM workflows and tracking evaluation results, I helped lift successful resolution rates by 18%.

At LifeSizeAgents.ai, I delivered conversational AI agents that enabled natural-language discovery across more than 50 internal document repositories. I built ingestion pipelines and served agents through REST APIs, cutting manual search effort by 40% and inference costs by 25%.

At IBM, I supported enterprise consulting engagements involving Google Cloud data pipelines and analytics, including migrations from on-premises IBM DataStage and Db2 workflows to BigQuery and Dataflow. I also built predictive models for demand forecasting and anomaly detection. My Client-Facing Production LLM Deployment Accelerator cut new client pilot setup time by 50%.

Experience

Work history, roles, and key accomplishments

Current

Forward Deployed AI Engineer

Current

Oracle

May 2025 - Present (1 year 5 months)

Partnered with enterprise clients to design, build, and deploy production AI solutions on Oracle Cloud Infrastructure, reducing incident triage time by 40%. Architected multi-agent workflows, retrieval systems, and data pipelines, and optimized LLMs for performance and reliability.

Solutions Engineer

LifeSizeAgents.ai

Jan 2025 - May 2025 (4 months)

Delivered an enterprise conversational AI agent platform using LangChain, RAG, and OpenAI GPT models, enabling natural-language knowledge discovery across 50+ document repositories. Collaborated with customers to build ingestion pipelines and instrumented analytics to improve resolution rates and reduce costs.

Technical Consultant

IBM

Jan 2023 - Jul 2024 (1 year 6 months)

Supported enterprise clients in IBM Consulting, translating requirements into scalable data pipelines and analytics solutions on Google Cloud using PySpark, Python, SQL, BigQuery, and Dataflow. Led migrations, built predictive models, and monitored production workflows for reliability and performance.