Sai Kiran K.

About Sai Kiran K.

10+ years building production backend systems. Currently at EY (5+ years) developing AI-powered applications for financial services—production RAG systems, multi-agent workflows, and knowledge management platforms using AWS (Bedrock, OpenSearch), Python, FastAPI, and modern LLM orchestration frameworks.Strong foundation in backend engineering (Java, Spring Boot, Python, FastAPI) with production experience across AWS serverless architectures, microservices, and event-driven systems and Data engineering using pyspark, spark streaming, Kafka. AWS Certified: Developer, Data Engineer, AI Practitioner.Open to backend engineering roles with AI/ML focus.

Experience

1. Senior Backend Engineer

   EY

   Nov 2020 — Present · Hoboken, NJ, US

   Insurance - TIAA Cybersecurity Engineering: Dec 2024 – Present• Built backend services for RAG system: Airflow data ingestion pipeline, AWS OpenSearchsearch backend (BM25 + vector embeddings), and FastAPI endpoints for LLM integration• Built security governance platform using Python ETL pipelines (aggregating Wiz, Snykdata); developed Angular dashboard for displaying summary of security posture visibility for allapplications• Implemented sidecar-based secret credential injection in Spring Boot using CyberArk; • Wrote and maintained Splunk queries and dashboards for application and infrastructure observability, alerting, and incident investigationFidelity Wealth Asset Management (WAM): Jan 2021 – Dec 2024• Designed serverless architecture for Direct Indexing Platform using AWS Lambda, SQS,EventBridge, Step Functions, API Gateway; orchestrated account lifecycle state machines and built components in terraform• Implemented SQLAlchemy ORM data modeling for PostgreSQL, establishing entity relationships and optimizing query performance.• Developed event-driven file processing workflows (100K–2M+ rows/day, T+1 SLA): S3,SNS/SQS, AWS Glue/Spark, Kafka (MSK), Redshift; Spring Boot on EKS as reporting API• Led design of scalable big-data ingestion and processing patterns using data-lake architectureon S3andApache Spark(partitions, caching, dataframe transformations) to support large-scale agencylending datasets• Drove distributed processing and streaming analytics with Spark SQL, aggregations, performance tuning, Kafka-based structured streaming, and AWS EMR/Glue/Athena to deliver lowlatency reporting across high-volume trades and collateral• Led migration from Tibco to Apache Kafka for Order Routing and Executions using FIX protocol; implemented VeriFIX simulation framework for isolated integration testing.

Education

• Stevens Institute of Technology

  Master's degree, Computer Science