Uday K.

About Me

Highly skilled and experienced AI and Automation developer with a strong background in machine learning engineering. Uday has a proven track record of architecting and deploying production-grade agentic RAG applications, building AI-powered alert management systems, and developing ML pipelines. Uday is proficient in various technologies including LangGraph, CopilotKit UI, LLM, LangChain, CrewAI, Databricks, and MLflow.

AI, ML & LLM

MLFlow Streamlit MLOps CrewAI LangChain LLM Langgraph

Backend

DevOps

CI/CD Docker

Other

Spark Anomaly Detection Sentiment Analysis Chatbot Databricks Clustering SRE RAG Neo4j

Work history

Netskope
Senior developer (AI and Automation)
2023 - 2026 (3 years)
Remote
  • Architected and deployed a production-grade agentic RAG application.

  • Reduced support query resolution time through intelligent document retrieval.

  • Containerized with Docker using uv for Python dependency management and deployed to Google Cloud Run with CI/CD via Cloud Build.

RAG Langgraph CopilotKit UI DockerPythonGoogle Cloud Run CI/CD Glean Tavily Neo4j
ServiceNow
Machine Learning Engineer
2022 - 2025 (3 years)
Remote
  • Built a model to analyze discovery logs and focus on new alerts via clustering, reducing human time for triage and providing error log insights using in-house LLM models.

  • Developed an agentic AI-powered alert management system to streamline SRE workflows and designed an LLM-based architecture with a RAG pipeline grounded in a domain-specific knowledge graph.

  • Built a model to accurately estimate workflow runtimes for ServiceNow customers, enabling better planning and prioritization, and implemented CI/CD pipelines for seamless deployment following MLOps best practices.

LLM RAG LangChain CrewAI MLOpsMLFlow CI/CD SREClustering
SWYM
Software Engineer
2021 - 2022 (1 year)
Remote
  • Built and deployed a robust ML pipeline on Databricks that generates personalized recommendations.

  • Developed a user-friendly tool using Streamlit for clients to visualize product recommendations.

  • Analyzed out-of-stock revenue data to highlight missed opportunities.

ML Databricks Streamlit
Dhan AI
Machine Learning Engineer
2020 - 2021 (1 year)
Remote
  • Worked on luis bot framework to develop a multiple virtual assistants on a single chatbot for a client.

  • Developed a chatbot for a hospital help desk using RASA.

  • Modified clinicalBERT according to the requirement.

luis Rasa clinicalBERT Chatbot
Synopsys
Technical Engineer (Machine Learning)
2018 - 2020 (2 years)
Remote
  • Developed ML models to analyze IT ticket conversations and server data, including sentiment analysis, keyword detection, and anomaly detection.

  • Implemented scalable experiment tracking and data processing platforms by deploying MLFlow.

  • Established a standalone Spark architecture, diskover application to scrape filesystem metadata.

ML Sentiment Analysis keyword detection Anomaly Detection MLFlow Sparkdiskover

Education

Education
B.Tech Computer science
KL University
2014 - 2018 (4 years)