I am a Senior Software Engineer with 10+ years of experience architecting high-scale distributed systems and AI-driven automation. I specialize in Python (FastAPI, LangChain) and Java (Spring Boot, Microservices) for FinTech applications, and I have led initiatives to integrate LLMs and Generative AI into enterprise workflows at Amazon and Workday. I enjoy building resilient, observable systems, driving cost efficiency, and mentoring teams in Agile environments. I solve complex problems at the intersection of AI and fintech, delivering measurable value and robust engineering practices while staying curious, collaborative, and customer-focused.

Kevin Allen

I am a Senior Software Engineer with 10+ years of experience architecting high-scale distributed systems and AI-driven automation. I specialize in Python (FastAPI, LangChain) and Java (Spring Boot, Microservices) for FinTech applications, and I have led initiatives to integrate LLMs and Generative AI into enterprise workflows at Amazon and Workday. I enjoy building resilient, observable systems, driving cost efficiency, and mentoring teams in Agile environments. I solve complex problems at the intersection of AI and fintech, delivering measurable value and robust engineering practices while staying curious, collaborative, and customer-focused.

Available to hire

I am a Senior Software Engineer with 10+ years of experience architecting high-scale distributed systems and AI-driven automation. I specialize in Python (FastAPI, LangChain) and Java (Spring Boot, Microservices) for FinTech applications, and I have led initiatives to integrate LLMs and Generative AI into enterprise workflows at Amazon and Workday.

I enjoy building resilient, observable systems, driving cost efficiency, and mentoring teams in Agile environments. I solve complex problems at the intersection of AI and fintech, delivering measurable value and robust engineering practices while staying curious, collaborative, and customer-focused.

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Experience Level

Expert
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Language

Javanese
Advanced
English
Fluent

Work Experience

Software Engineer II at Amazon
February 20, 2024 - January 1, 2026
Engineered an asynchronous multi-agent orchestration layer using Python (FastAPI) and Amazon Bedrock, leveraging LangGraph to automate 85% of unstructured global invoice processing. Reduced LLM inference costs by 40% via a Java-based hybrid router that used deterministic OCR for standard templates and routed high-entropy exceptions to Bedrock. Designed a distributed anomaly-detection system in Java (Spring Boot) with AWS Kinesis, processing 1.5M+ daily transactions with sub-200ms p99 latency to block duplicate payments. Built a Python-based RAG pipeline using Pinecone to enforce real-time tax compliance across 12 jurisdictions with 99.8% accuracy. Automated multi-region infrastructure deployment with AWS CDK (Java) and Terraform, enhancing observability for model drift and latency. Led the shift to Hexagonal Architecture for FinTech microservices, reducing hotfixes by 35%.
Software Engineer at Workday
August 1, 2023 - February 1, 2024
Architected an Autonomous Reconciliation Engine on the Workday Extend platform to automate cross-border payroll audits, reducing month-end close cycles from 8 days to 4 days. Integrated Python-based ML models via high-throughput REST APIs to predict and flag high-risk journal entry discrepancies, reducing payroll system failures for Fortune 500 clients by 80%. Engineered real-time data validation pipelines using Workday Prism Analytics and Python, improving financial reporting accuracy by 30% across 50+ environments.
Software Engineer II at Amazon
August 1, 2022 - March 1, 2023
Refactored core Java/Spring Boot ingestion engine for Global Accounts Payable, migrating to an event-driven architecture using AWS SQS/SNS and increasing throughput by 3x. Engineered a standardized Python validation framework using Pydantic to enforce schema integrity across 50+ internal microservices, reducing integration-related production bugs by 40%. Optimized AWS Lambda and DynamoDB query patterns to maintain 99.99% availability and sub-50ms latency during Prime Day peak traffic.
Software Engineer at Guidestone Financial Resources
May 1, 2016 - September 1, 2021
Refactored a legacy pension management system into a high-availability Java/Spring Boot microservices architecture on AWS ECS, utilizing Docker for containerization and achieving 99.99% reliability. Engineered distributed ETL pipelines using Python and Apache Spark for complex reconciliations on $500M+ assets with multi-stage data validation. Implemented a high-performance API Gateway in Java with SAML 2.0 and OAuth2/OpenID Connect for secure SSO across 200,000+ accounts, reducing auth latency by 35%. Optimized PostgreSQL performance with Redis caching, increasing throughput by 40%. Developed a thread-safe financial calculation engine in Java using BigDecimal for precise calculations and regulatory compliance.

Education

Bachelor's degree in Computer Science at Rutgers University
January 1, 2012 - January 1, 2016
Bachelor's degree at Rutgers University
January 1, 2012 - January 1, 2016
Bachelor's degree at Rutgers University
January 1, 2012 - January 1, 2016

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Financial Services, Professional Services