Sagarika Deb Choudhury

About Sagarika Deb Choudhury

I’m a technical leader with extensive experience designing and implementing cloud-native, AI-driven, and large-scale data solutions that accelerate business transformation and innovation. My expertise lies at the intersection of software engineering, DevOps, cloud architecture, and applied machine learning, bringing both technical excellence and strategic vision to every project. Currently at Johnson & Johnson, I lead architecture and delivery for enterprise data and analytics platforms that integrate AWS, Databricks, and Python-based AI pipelines. I’ve built frameworks that automate model deployment, monitor performance, and ensure compliance with data governance and privacy standards across global teams.Previously at Equifax, I designed and migrated on-prem data ecosystems to cloud-based, serverless platforms, leveraging AWS Glue, Lambda, S3, and Step Functions to improve scalability, reduce costs, and enable real-time insights. I also led initiatives using Edge AI and predictive modeling to enhance fraud detection and credit analytics—improving system performance and data accuracy by over 30%. My recent projects include: LLM-Powered Automation – Implemented a generative AI model pipeline using OpenAI APIs, AWS Bedrock, and LangChain, enabling automated document summarization and knowledge extraction across enterprise data lakes. Terraform-Driven Infrastructure – Designed multi-environment IaC deployments for data and ML workloads across AWS, ensuring consistency, scalability, and governance. Real-Time Data Streaming Platform – Architected Kafka-based pipelines for event-driven analytics integrated with Databricks Delta Live Tables, optimizing latency and throughput for high-volume data systems.🤖 AI-Powered Predictive Analytics—Developed ML solutions in Python (scikit-learn, PyTorch) to predict solar energy price differentials—part of my research at Georgia State University during my master’s in Big Data Management and Analytics.Recognized as a Marquis Who’s Who Honoree (2025) and an Intel Scholar, I’m passionate about building solutions that connect data, cloud, and AI to deliver measurable business impact. I thrive in dynamic environments where innovation, automation, and intelligent systems redefine how businesses operate. I’m currently open to exploring roles in solutions architecture, data engineering, DevOps, AI/ML engineering, backend engineering or product management, where I can contribute to architecting intelligent, scalable, and transformative systems.

Experience

1. Architect

   Johnson & Johnson

   Jan 2024 — Present

Education

• Georgia State University - J. Mack Robinson College of Business

  Masters, Management Information Systems

• Udacity

  Intel Edge AI for IoT Developer Nanodegree, Artificial Intelligence

• Siliguri girls'high school

  12th Exam, Science

• University of Engineering & Management - Jaipur

  Bachelor of Technology - BTech, Computer Science