Uday Kiran Sirigiri
@udaykiransirigiri
I build production AI agents, reliable ML pipelines, and real-time data systems.
ZimbabweWhat I'm looking for
I've built production AI agents and enterprise AI workflows at Johnson & Johnson and PayPal, using LangChain, Azure OpenAI, AWS Bedrock, Node.js, React, and scalable cloud infrastructure.
At Johnson & Johnson, I designed AI agents for healthcare workflows, automated clinical document summarization, and implemented evaluation, prompt-auditing, semantic retrieval, and governance frameworks for reliable deployments. At PayPal, I developed fraud-detection agents, real-time transaction inference services, and compliance monitoring powered by Kafka, Spark Streaming, Hugging Face transformers, FastAPI, and MLflow.
Previously at Verizon, I built PySpark, Hadoop, Kafka, and Airflow data pipelines, predictive models that improved forecasting accuracy by 30%, and anomaly-detection systems for telecom network monitoring. I enjoy turning ambiguous operational challenges into scalable, customer-driven AI and data products.
Experience
Work history, roles, and key accomplishments
Designed and shipped production AI agents using LangChain and Azure OpenAI, improving enterprise healthcare workflows through reliable agent orchestration. Built end-to-end AI features integrating Node.js APIs and React-based UI components with backend AI microservices in Azure Kubernetes for scalable deployment.
Developed non-trivial production AI agents using transformer models and AWS Bedrock, applying LangChain-like orchestration for enterprise payment fraud detection. Built full-stack features with Node.js backend and React front-end components enabling seamless integration of AI agents into digital payment workflows.
Engineered scalable PySpark and Hadoop workflows to process streaming and batch telecommunications data, enabling AI-driven analytical models for operational insights. Built predictive models using Python and Scikit-learn that enhanced forecasting accuracy by 30% supporting strategic decision-making in telecom operations.
Education
Degrees, certifications, and relevant coursework
Wichita State University
Master of Business Analytics, Business Analytics
Pursued a Master of Business Analytics with coursework in advanced AI, including large language models, retrieval-augmented generation, and prompt engineering.
VNR Vignana Jyothi Institute of Engineering and Technology
Bachelor of Technology, Electrical and Electronics Engineering
Earned a Bachelor of Technology in Electrical and Electronics Engineering with coursework in machine learning, deep learning, and data structures.
Tech stack
Software and tools used professionally
Azure Synapse
Apache Spark
AWS Glue
Microsoft Azure
Kubernetes
Azure Kubernetes Service
Jenkins
PySpark
DB
MySQL
PostgreSQL
MongoDB
Hadoop
Node.js
Databricks
Terraform
Java
TensorFlow
PyTorch
MLflow
scikit-learn
Kafka
FastAPI
Azure Monitor
PayPal
Azure Functions
Azure SQL Database
Airflow
Time Analytics
SQL
Azure Blob Storage
Hugging Face
LangChain
Delta Lake
Azure Logic Apps
Cosmos
LangGraph
Factory
Emergent
Availability
Location
ZimbabweAuthorized to work in
Job categories
Skills
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