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Uday Kiran reddy User

@udaykiranreddyuser

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Senior Machine Learning engineer focused on AI automation and agentic systems.

India

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What I'm looking for

I seek roles building production AI/ML systems—agentic automation, RAG pipelines, and scalable MLOps—in collaborative teams focused on measurable impact and reliable deployments.

I am a senior machine learning engineer specializing in AI-driven automation, agentic systems, and production-grade ML deployments. I design and deploy RAG pipelines, multi-agent orchestration, and cloud-native services that reduce manual effort and accelerate incident resolution.

At recent roles I architected agentic RAG applications integrating LangGraph, LangChain, CrewAI, and domain knowledge graphs, and deployed containerized services to Google Cloud Run with CI/CD. I’ve built ML pipelines on Databricks, implemented MLflow for MLOps, and created customer-facing tools to visualize recommendations and optimize workflows.

I focus on measurable impact — reducing triage and alert noise, improving runtime estimation for planning, and enabling autonomous remediation. I prioritize robust engineering, observability, and scalable deployment practices to ensure models deliver value in production.

Experience

Work history, roles, and key accomplishments

Current

Senior Developer (AI and Automation)

Current

Netskope

Aug 2025 - Present (5 months)

Architected and deployed a production-grade agentic RAG application combining LangGraph multi-agent workflows with a CopilotKit UI, reducing support query resolution time via intelligent document retrieval across Glean, Tavily, and Neo4j. Containerized with Docker and deployed to Google Cloud Run with CI/CD via Cloud Build.

RAG LangGraph Docker Google Cloud Run CI CD Neo4j

Machine Learning Engineer

ServiceNow

Jul 2022 - Aug 2025 (3 years 1 month)

Built ML systems including clustering-based discovery-log analysis, LLM-powered error insights, and an agentic AI alert management system with a RAG pipeline grounded in a domain knowledge graph, reducing manual triage and accelerating incident resolution.

Clustering RAG MLFlow LLM Knowledge Graphs MLOps CI CD

Software Engineer

SWYM

Jun 2021 - Jun 2022 (1 year)

Built and deployed an ML pipeline on Databricks to generate personalized recommendations for thousands of merchants and developed a Streamlit tool for clients to visualize recommendations and analyze out-of-stock revenue impact.

Databricks Recommendation Systems Streamlit Data Analysis Personalization

Machine Learning Engineer

Dhan AI

May 2020 - May 2021 (1 year)

Developed multi-virtual-assistant solutions using the LUIS bot framework and built a RASA-based hospital helpdesk chatbot, adapting clinicalBERT models to domain requirements.

LUIS Rasa ClinicalBERT Chatbot Development NLP

Technical Engineer (Machine Learning)

Synopsys

Oct 2018 - May 2020 (1 year 7 months)

Developed ML models for IT ticket and server data analysis including sentiment, keyword detection, and anomaly detection; deployed MLflow and a standalone Spark-based data processing platform to scale experiment tracking and data ingest.

MLFlow Spark Anomaly Detection Sentiment Analysis Data Engineering