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Nuguyen Lee

@nuguyenlee

Senior full-stack engineer specializing in AI-driven financial SaaS, optimizing APIs and cloud cost for secure onboarding.

United States
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What I'm looking for

I want to build and scale AI-driven financial platforms—owning API performance, cloud efficiency, and secure onboarding—while partnering across product, UX, and data teams to improve credit decisions for underserved SMEs.

I’m a Senior Full Stack Back End Engineer with 8+ years of experience architecting and delivering scalable SaaS platforms, specializing in AI-driven financial applications. I focus on building secure, high-performing systems that improve credit scoring and risk management—grounded in practical engineering and measurable outcomes.

Most recently at SofttechConsulting, I led the architecture design for a real-time AI credit scoring microservices platform using Python, Node.js, and AWS Lambda, reducing latency by 40%. I built and deployed RESTful APIs for client onboarding and KYC compliance, optimized PostgreSQL to support 500k daily transactions with sub-100ms response times, and migrated a legacy monolith to containerized microservices on AWS ECS, cutting deployment time by 60%.

Earlier at Instinctools, I engineered end-to-end B2B SaaS features for 200+ enterprise clients, including scalable RESTful APIs, serverless AWS Lambda migrations that reduced infrastructure costs by 35%, and real-time data synchronization with WebSockets and Redis. Across roles, I’ve delivered reliable payment and fintech experiences, deployed machine learning models into production with improved prediction accuracy, and led testing, monitoring, and incident response practices that keep systems dependable while enabling faster iteration.

Experience

Work history, roles, and key accomplishments

SO

Senior Full Stack Developer

SofttechConsulting

Apr 2025 - Apr 2026 (1 year)

Architected a real-time AI credit scoring microservices platform on Python/Node.js and AWS Lambda, reducing latency by 40%. Built REST APIs and AWS event-driven pipelines supporting 500k daily transactions with sub-100ms responses, and improved model prediction accuracy by 25%.

IE

Full Stack Developer

Instinctools Engineered

Jan 2023 - Feb 2025 (2 years 1 month)

Engineered end-to-end B2B SaaS features for 200+ enterprise fintech clients using React and Node.js. Delivered scalable APIs (under 200ms at 1M daily requests), reduced infrastructure costs by 35% via AWS Lambda migration, and cut batch processing time by 70% using Step Functions and DynamoDB.

FI

Software Developer

Fiserv

Nov 2021 - Nov 2022 (1 year)

Built and maintained RESTful payment processing APIs in Node.js and PostgreSQL, supporting 5M+ daily transactions. Reduced API error rates by 25%, improved reporting query execution time by 30%, and maintained 99.5% uptime while integrating Stripe/PayPal payment gateways for 10k+ merchants.

WL

Software Developer

Wipro LLC

Jul 2018 - Oct 2021 (3 years 3 months)

Developed enterprise web applications for 500+ clients using JavaScript/React and Python, integrating with legacy mainframe systems via message queues. Improved report generation performance by 40%, reduced QA cycle time by 20%, and achieved 85% test coverage with pytest.

Education

Degrees, certifications, and relevant coursework

Western Washington University logoWU

Western Washington University

Bachelor's Degree, Computer Science

2018 -

Earned a bachelor's degree in Computer Science at Western Washington University starting in 2018.

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