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I'm a Senior AI and Full-Stack Engineer with 9+ years delivering production AI platforms and scalable web systems across fintech and enterprise domains. I specialize in React, Next.js, Node.js, Python, and LLM integration, with cloud-native architecture on AWS and GCP. I've proven how to architect AI copilots using retrieval-augmented generation, async workers with retry/backoff, and event-driven services to boost deployment velocity and reliability. I'm passionate about building AI-powered product platforms with clean engineering and strong backend judgment.…I'm a Senior AI and Full-Stack Engineer with 9+ years delivering production AI platforms and scalable web systems across fintech and enterprise domains. I specialize in React, Next.js, Node.js, Python, and LLM integration, with cloud-native architecture on AWS and GCP. I've proven how to architect AI copilots using retrieval-augmented generation, async workers with retry/backoff, and event-driven services to boost deployment velocity and reliability. I'm passionate about building AI-powered product platforms with clean engineering and strong backend judgment.

Norbert Tran

Full Stack Developer, AI Engineer, Data Scientist, +2

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I'm a Senior AI and Full-Stack Engineer with 9+ years delivering production AI platforms and scalable web systems across fintech and enterprise domains. I specialize in React, Next.js, Node.js, Python, and LLM integration, with cloud-native architecture on AWS and GCP. I've proven how to architect AI copilots using retrieval-augmented generation, async workers with retry/backoff, and event-driven services to boost deployment velocity and reliability. I'm passionate about building AI-powered product platforms with clean engineering and strong backend judgment.…I'm a Senior AI and Full-Stack Engineer with 9+ years delivering production AI platforms and scalable web systems across fintech and enterprise domains. I specialize in React, Next.js, Node.js, Python, and LLM integration, with cloud-native architecture on AWS and GCP. I've proven how to architect AI copilots using retrieval-augmented generation, async workers with retry/backoff, and event-driven services to boost deployment velocity and reliability. I'm passionate about building AI-powered product platforms with clean engineering and strong backend judgment.

Available to hire

I’m a Senior AI and Full-Stack Engineer with 9+ years delivering production AI platforms and scalable web systems across fintech and enterprise domains. I specialize in React, Next.js, Node.js, Python, and LLM integration, with cloud-native architecture on AWS and GCP.

I’ve proven how to architect AI copilots using retrieval-augmented generation, async workers with retry/backoff, and event-driven services to boost deployment velocity and reliability. I’m passionate about building AI-powered product platforms with clean engineering and strong backend judgment.

Skills

Experience Level

Expert

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Intermediate

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Work Experience

Senior Software Engineer at Atos

April 1, 2022 - January 1, 2026

Joined the Digital Automation team delivering an AI-powered operational copilot for enterprise clients handling ~3k monthly active users across distributed support environments. Architected a retrieval-augmented generation pipeline using Python and LangChain, indexing structured incident data into a vector store to answer operational queries with contextual grounding. Engineered a full-stack platform with Next.js frontend and Node.js APIs, enforcing JWT-based RBAC middleware and policy checks at the API gateway to isolate tenant data securely. Orchestrated asynchronous task workers with retry/backoff strategies for long-running AI summarization jobs, reducing failed job rates by 18% and stabilizing peak-hour processing. Established event-driven logging through immutable append-only tables in PostgreSQL, enabling traceable audit history and accelerating root-cause investigations by approximately 25%. Directed cloud deployments on AWS using Docker and GitHub Actions CI/CD pipelines, shor

Software Engineer at Spyrosoft

June 1, 2020 - March 1, 2022

At Spyrosoft, contributed to the Analytics Platform team building a real-time data insights dashboard for industrial IoT clients processing streaming device telemetry. Designed backend services in Node.js and Express to aggregate event streams into PostgreSQL, ensuring consistent schema validation and resilient REST API exposure. Implemented React and TypeScript interfaces with dynamic chart rendering, improving data exploration speed and lifting daily active usage by roughly 20%. Integrated Python-based data enrichment services that normalized raw telemetry before persistence, decreasing downstream reporting inconsistencies by 15%. Configured containerized deployments on GCP using Docker, enabling environment parity across staging and production clusters. Enhanced API observability with structured logging and distributed tracing, cutting mean time to recovery by nearly 22% during incident response cycles.

Full Stack Engineer at HYS Enterprise

September 1, 2018 - May 1, 2020

At HYS Enterprise, participated in the Fintech Payments Portal team delivering a secure transaction management web application for regional banking partners. Developed Next.js client modules interacting with Python FastAPI services, facilitating real-time payment status tracking and reducing manual reconciliation effort. Constructed token-based authentication flows leveraging JWT and role segmentation, strengthening access control boundaries for multi-tenant environments. Automated background settlement reconciliation jobs using Redis-backed queues, shortening batch completion windows by approximately 17%. Refined PostgreSQL indexing strategies and query plans, improving high-volume transaction lookup performance during peak processing periods. Collaborated with product stakeholders to translate compliance requirements into enforceable API validation rules, minimizing production defects after regulatory updates.

Technical Support Engineer at SAP

July 1, 2016 - August 1, 2018

At SAP, supported enterprise clients using SAP Commerce Cloud, diagnosing integration failures between frontend storefronts and backend service layers. Analyzed API payload discrepancies and database constraints to resolve production defects, restoring transaction processing for high-priority accounts. Scripted Python utilities to parse log files and surface anomaly patterns, accelerating repetitive troubleshooting workflows. Documented recurring failure modes and recommended configuration adjustments, decreasing repeat incident tickets by around 14%. Partnered with engineering teams to validate patches in controlled environments before rollout, safeguarding service continuity for global customers.