Senior Software Engineer

Natan
Woubie

Engineering scalable, cloud-native systems at the intersection of capital markets, enterprise architecture, and artificial intelligence.

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0+Years Experience

0Major Migrations

0Release Cycle Reduction

0Cost Savings Delivered

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About

Built for complexity.

I'm a Senior Software Engineer with 5+ years delivering mission-critical, cloud-native applications at Fannie Mae — one of the largest financial institutions in the United States.

My work spans the full software development lifecycle: from architecture and requirements through development, testing, deployment, and post-launch operations. I've progressed from hands-on full-stack engineering to leading enterprise AWS migrations, defining security standards, and integrating AI into capital markets workflows.

I hold an AWS Certified Developer – Associate certification and a B.S. in Computer Science & Mathematics from Concord University.

Cloud Architecture

Designing resilient, cost-optimised systems on AWS — EC2, Lambda, RDS, CloudFormation, Terraform — at enterprise scale.

Capital Markets Engineering

Building real-time transaction management and securities data platforms that process high-value trades with zero downtime.

AI & LLM Integration

Integrating large language models and RAG pipelines into financial tooling — turning complex data into analyst-ready intelligence.

Spec-Driven Development

Championing API-first, contract-driven engineering practices across multi-team organisations to eliminate integration debt.

Experience

Where I've made an impact.

Senior Software Engineer

Jan 2023 — Present

Fannie Mae · Reston, VA

Java 11Spring BootAWSTerraformDockerKubernetesKafkaLLM IntegrationOpenAPI

Led cloud migration of two business-critical applications to AWS, eliminating ~$1.2M in annual operating costs through right-sizing and reserved instances.
Architected end-to-end deployment automation with CloudFormation and CI/CD pipelines, slashing release cycles by ~40% across 3 teams.
Pioneered Spec-Driven Development (SpecIT) across Capital Markets operations, reducing cross-team integration defects by ~35% across 5+ services.
Integrated Fannie Mae's native LLM platform into Capital Markets tooling — automating trade anomaly detection and MBS data summarisation, cutting analyst review time by ~40%.
Led architecture and code reviews for a team of 4 engineers, reducing review cycle time by ~25%.

Software Engineer

Jun 2021 — Dec 2022

Fannie Mae · Reston, VA

Java 8Spring BootAngularJSSpring SecuritySwagger/OpenAPIOracleRabbitMQ

Delivered TreasuryBridge end-to-end across the full SDLC — requirements, design, development, testing and deployment — powering real-time transaction management for Fannie Mae's mortgage trading desk.
Implemented Spring Security and OAuth 2.0 authentication flows, achieving compliance with enterprise security standards.
Designed RESTful APIs via Swagger/OpenAPI, reducing integration time for downstream teams by ~30% across 3 consuming services.
Increased data accuracy by ~15% on the BlackRock Integration Service, improving investment decision-making quality.

Projects

Work that moves markets.

Generative AI & LLM

Capital Markets AI Platform

Integrated Fannie Mae's native LLM platform into Capital Markets tooling via Java and Spring Boot REST APIs. Built RAG pipelines and AI-powered trade anomaly detection on high-value trades exceeding $500M.

~40%Analyst Time Saved

$500M+Trades Analysed

API-First Engineering

SpecIT Platform

Architected and championed Spec-Driven Development across Fannie Mae Capital Markets. Established OpenAPI/Swagger as the authoritative contract before implementation, aligning backend, frontend, and QA teams.

~35%Fewer Defects

~50%Faster Onboarding

Cloud Migration

TreasuryBridge

Migrated a monolithic transaction system to containerised microservices on AWS using Docker and Kubernetes. Re-platformed Fannie Mae's core mortgage trading infrastructure end-to-end.

~30%Cost Reduction

~40%Faster Deploys

Infrastructure as Code

SecTDS

Led the full AWS migration of SecTDS using Terraform for IaC, reducing provisioning from days to under 30 minutes. Established CloudWatch monitoring and compliance posture across the platform.

<30 minProvisioning Time

~20%Perf Improvement

Event-Driven Architecture

BlackRock Integration

Owned and evolved a high-volume investment data integration service using Kafka event-driven pipelines. Implemented schema validation and dead-letter-queue handling to guarantee data fidelity at scale.

~15%Data Accuracy Gain

ZeroDowntime

AI & Innovation

Engineering at the frontier.

capital-markets-ai — llm-pipeline

LLM

Native LLM Integration

Integrated Fannie Mae's internal LLM platform into Capital Markets tooling via secure, audited REST APIs built on Java and Spring Boot.

RAG

RAG Pipeline Engineering

Engineered Retrieval-Augmented Generation workflows over internal document stores, enabling plain-language querying of complex securities data with source-cited responses.

Anomaly Detection

Deployed AI-powered trade anomaly detection on high-value trades exceeding $500M, reducing manual analyst review time by ~40%.

NLP

MBS Data Summarisation

Automated natural-language summarisation of mortgage-backed securities data, surfacing intelligent alerts that improved decision turnaround on high-value trades.

Skills

The full arsenal.

Languages & Frameworks

Java 11Java 8Spring BootSpring SecurityAngularJSNode.jsJ2EE

Cloud & DevOps

AWS EC2S3LambdaRDSTerraformDockerKubernetesCloudFormationCI/CD

AI & ML

LLM IntegrationGenerative AIRAG PipelinesPrompt EngineeringAnomaly Detection

APIs & Messaging

RESTSwagger/OpenAPIOAuth 2.0KafkaRabbitMQActiveMQ

Databases

PostgreSQLOracleMySQLDB2

Practices

Spec-Driven DevAPI-FirstAgile/ScrumTDDCloud SecurityFinOps