Steven Do

Senior Software Engineer with 8+ years of experience building scalable SaaS, fintech, and AI platforms. Specialized in designing microservices architectures, distributed systems, and high-performance APIs. Extensive experience delivering cloud-native applications on AWS and Azure, implementing containerized infrastructure with Docker and Kubernetes, and building CI/CD pipelines for reliable deployments.

Proven ability to architect real-time data platforms, financial integrations, and AI-driven products that support high-traffic enterprise environments. Strong collaborator in Agile engineering teams, with expertise in system design, performance optimization, and full-stack development, consistently delivering secure, scalable software solutions.

Senior Software Engineer at Praxent (2023-09 – Present)

Designed and delivered fintech and AI-powered SaaS platform serving enterprise clients in financial services and real estate analytics.

• Designed and delivered fintech and AI-powered SaaS platform serving enterprise clients in financial services and real estate analytics.
• Designed and implemented scalable microservices architecture using Node.js, Python, and Docker, supporting high-traffic production environments.
• Built an AI-driven real estate intelligence platform that analyzes property data, zoning regulations, market trends, and planning constraints to generate actionable insights for investors and developers.
• Developed LLM-powered features that generate automated planning reports, property feasibility analysis, and investment recommendations using structured and unstructured datasets.
• Implemented data ingestion pipelines processing property records, planning documents, GIS data, and market data to support real-time analytics.
• Designed RESTful and GraphQL APIs to expose real estate analytics, financial metrics, and AI insights to internal and external services.
• Implemented real-time data streaming and event-driven systems for live updates of property market data and planning status.
• Integrated financial and payment infrastructure including Stripe and third-party fintech APIs.
• Architected cloud-native infrastructure on AWS, leveraging EC2, S3, RDS, and container orchestration with Kubernetes.
• Built CI/CD pipelines using Jenkins, Docker, and GitHub Actions, improving deployment automation and release reliability.
• Collaborated with product, data science, and design teams in Agile environments to deliver AI-powered enterprise products.

Full Stack & AI Engineer at Sataware Technologies (2021-04 – 2023-08)

Developed an AI-powered conversational platform leveraging LLMs including GPT-4, Claude, and LLaMA to support multilingual chatbot deployments.

• Developed an AI-powered conversational platform leveraging LLMs including GPT-4, Claude, and LLaMA to support multilingual chatbot deployments.
• Built scalable backend services using Node.js, Express, and Python APIs to orchestrate AI workflows and third-party integrations.
• Designed document ingestion and embedding pipelines to process PDFs, websites, and structured data for contextual AI responses.
• Developed a no-code chatbot builder using React and Tailwind, enabling businesses to configure AI agents without coding.
• Implemented integrations with CRM and marketing platforms including HubSpot, Zoho, and Pipedrive to automate lead capture workflows.
• Built real-time analytics dashboards tracking chatbot usage, conversion metrics, and engagement trends.
• Deployed distributed infrastructure on AWS (EC2, S3, RDS) using Docker and Kubernetes for scalable AI workloads.
• Built reusable React component libraries with Storybook and ESLint to standardize UI development across projects.

Software Engineer at AppIt Ventures (2019-12 – 2021-04)

Built industrial and enterprise software platforms using Java, Spring Boot, and Angular within an event-driven microservices architecture.

• Built industrial and enterprise software platforms using Java, Spring Boot, and Angular within an event-driven microservices architecture.
• Designed IoT telemetry pipelines using Apache Kafka and MongoDB for real-time device monitoring and predictive maintenance analytics.
• Implemented multi-tenant SaaS architecture using Kubernetes and Helm, enabling dynamic provisioning for enterprise clients.
• Developed REST and gRPC APIs enabling communication between edge devices, PLCs, and cloud infrastructure.
• Implemented secure authentication using OAuth2, OpenID Connect, Keycloak, and Azure AD.
• Designed CI/CD pipelines using Jenkins, Docker, and Nexus supporting blue-green deployments.
• Applied CQRS and event sourcing to support audit logging and temporal system state tracking.
• Led performance optimization initiatives using Gatling and JMeter, improving system throughput by nearly 50%.

Full Stack Web Developer at Tasacom Technologies Inc (2018-07 – 2019-10)

Built modern web applications transitioning legacy systems from Laravel + Vue.js to Node.js + React architectures.

• Built modern web applications transitioning legacy systems from Laravel + Vue.js to Node.js + React architectures.
• Developed scalable REST APIs backed by PostgreSQL and Redis, improving query performance and caching efficiency.
• Containerized services using Docker and implemented CI/CD pipelines with GitLab CI.
• Built a custom multi-tenant CMS platform for SME clients using Vue.js and Nuxt.js.
• Integrated Google Cloud Storage and Firebase services for file storage and real-time notifications.
• Implemented automated testing using Cucumber and Selenium for BDD-driven QA workflows.
• Improved accessibility and UX using Lighthouse audits and WCAG standards.

Bachelor's Degree in Computer Science – Texas Tech University (2014-08 – 2018-05)