Open to opportunities

David Manuel

@davidmanuel

Senior software engineer building scalable cloud-native backends and AI/ML products to accelerate delivery and reliability.

United States

Message

What I'm looking for

I’m looking for a team that values clean architecture, performance optimization, and reliable cloud delivery—where I can build scalable backends/APIs, ship AI/ML features, and lead with strong Agile execution and CI/CD ownership.

I’m a Senior Software Engineer with 10+ years of experience building scalable, cloud-native applications across healthcare, fintech, logistics, and e-commerce. I’m an expert in modern JavaScript/TypeScript frameworks (React, Next.js, Angular & Vue) and backend technologies (Node.js, Python, .NET, Java), with hands-on experience developing AI/ML solutions.

I specialize in enterprise-grade APIs, microservices, and real-time systems, optimizing databases and CI/CD pipelines with Docker and Kubernetes. In my recent work, I engineered high-performance backends (enhancing system reliability by 55%), built AI/ML solutions that reduced data processing latency by 30%, delivered real-time predictive analytics dashboards, and deployed cloud-native workloads achieving 99.9% uptime. I also mentor and lead a team of 4–5 engineers, improving delivery quality and team productivity by 30%.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Netsmartz

Dec 2022 - Present (3 years 6 months)

Engineered high-performance backend systems with Node.js and Python, improving system reliability by 55% and enabling high-volume manufacturing operations. Built AI/ML solutions with TensorFlow and PyTorch, reducing data processing latency by 30%, and deployed cloud-native services on AWS/Azure/GCP with Docker and Kubernetes for 99.9% uptime.

Node Python AI ML Microservices REST APIs Docker Kubernetes AWS GCP

Full Stack Engineer

Tempus AI

Feb 2020 - Nov 2022 (2 years 9 months)

Built scalable backend platforms with .NET/C# and Python, reducing API response times by 25% and improving ORM/API throughput by 35%. Developed microservices and containerized deployments on AWS/GCP with Docker and Kubernetes, achieving 99.9% uptime and reducing release failures via automated CI/CD in GitHub Actions and Azure DevOps.

C# .NET Python Next.js Microservices Docker Kubernetes

Software Engineer

Talmate

Dec 2015 - Jan 2020 (4 years 1 month)

Developed backend services with Java and Node.js, improving system performance by 60% and scaling infrastructure for growing daily active users. Implemented Spring Boot microservices and performance optimizations (caching, rate limiting, lazy loading), reducing response times by 25%, and automated CI/CD to reduce deployment times by 50%.

Java Node Spring Boot Microservices Docker Kubernetes