Hello, I'm Nicholas Marler👋

I build agentic AI platforms in Python, FastAPI & Kubernetes for enterprise scale.

Senior software engineer delivering enterprise Generative AI and Retrieval-Augmented Generation systems. Led a production AI chatbot and an agentic AI platform that automated complex workflows, reducing manual effort by 30% and improving response relevance.

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Stack

Python

TypeScript

Java

LangGraph

FastAPI

Node.js

React

Next.js

AWS

Azure

GCP

Kubernetes

Docker

PostgreSQL

Kafka

About me

I'm a Senior Software Engineer based in Austin, TX, with a Computer Science degree from Texas Tech University, focused on Generative AI and cloud-native systems. I've architected enterprise agentic AI and RAG platforms with LangGraph, AutoGen, and CrewAI, modernized monolithic systems into Docker and Kubernetes microservices, and shipped conversational AI across AWS, Azure, and GCP. I'm looking to apply that AI architecture expertise to innovative, scalable products.

Experience

Senior Software Engineer

MyFitnessPal · 06/2021 — 07/2026

Led enterprise Generative AI initiatives across multiple product domains, delivering production-ready AI platforms on AWS, Azure, and GCP.

Architected an enterprise agentic AI platform with LangGraph, AutoGen, and CrewAI to orchestrate multi-step workflows and reduce manual effort
Architected and deployed an AI-powered chatbot and voice assistant using TypeScript, React, Dialogflow, and GCP
Built RAG pipelines with embeddings, semantic retrieval, and structured data to improve contextual relevance and response quality
Shipped production AI applications on OpenAI, Azure OpenAI, AWS Bedrock, SageMaker, Vertex AI, and Gemini for conversational AI, document intelligence, and workflow automation
Modernized monolithic systems into Docker and Kubernetes microservices with Python, FastAPI, Node.js, and Java, reducing API latency
Designed event-driven architectures with AWS Lambda, SQS, and SNS, and established CI/CD with GitHub Actions and Jenkins
Optimized MySQL and PostgreSQL databases and backend services, improving application responsiveness by more than 20%

Senior Software Engineer

Charles Schwab · 04/2020 — 06/2021

Redesigned core enterprise services into a microservice architecture, improving scalability, maintainability, and operational reliability.

Increased data ingestion throughput by 400% through architecture redesign and concurrency optimization
Automated deployment and release workflows with Python and Bamboo, saving 40+ engineering hours per month
Implemented event-driven synchronization between SQL and MongoDB, reducing synchronization latency
Refactored complex Java applications, reducing code complexity by 60% while improving testability
Owned production health for brokerage reconciliation systems using C#, Kubernetes, GCP, and CI/CD pipelines

Software Developer

General Motors · 01/2018 — 04/2020

Owned the full software development lifecycle for enterprise data and customer systems on Azure, from design through production support.

Redesigned large-scale data comparison systems to process 1M+ records in ~3 hours, up from ~50,000 records over 36 hours
Built enterprise applications with Go and Azure meeting privacy, security, and compliance standards
Implemented Kafka event-driven architectures that eliminated manual processing workflows
Expanded automated testing with QA engineers to increase coverage and accelerate release validation
Supported CI/CD automation with Jenkins and GitLab and optimized production application performance

Enterprise Architecture Consultant

ExxonMobil · 07/2015 — 08/2016

Designed cloud migration strategies and architecture governance for enterprise modernization programs.

Designed Azure adoption roadmaps and phased cloud migration strategies using AWS, Azure, and Docker containers
Created Architecture Reference Documents and Future State Architecture frameworks with ArchiMate and Visio
Established governance standards and implementation patterns based on TOGAF and AWS Well-Architected best practices
Served as technical liaison between business stakeholders, architects, and engineering teams

How I work

Architecture First: Requirements translated into a design before code. No feature creep.
Measurable Outcomes: Latency, throughput, and cost targets defined up front, then proven.
Cross-Functional: Close partnership with product, architecture, and QA across the SDLC.

What I can help you with

Agentic AI and RAG platform design (LangGraph, AutoGen, CrewAI).
Production LLM applications on OpenAI, Azure OpenAI, Bedrock, Vertex AI, and Gemini.
Cloud-native backends and microservices with Python, FastAPI, Docker, and Kubernetes.

Certifications

Microsoft Specialist: Architecting Microsoft Azure Solutions

microsoft • July 2016

Microsoft Certified Professional

microsoft • July 2016

Let's talk

I'm seeking my next opportunity to apply AI architecture expertise to innovative, scalable products. Reach out if you'd like to connect.

LinkedIn@nicholas-marler