Hello, I'm Nicholas Marler👋

I build RAG and agentic AI systems in Python, FastAPI & React for enterprise scale.

Senior AI/ML full stack engineer delivering production Generative AI applications and scalable backend services. Led end-to-end AI product design that cut feature time-to-market by three weeks, and built RAG pipelines that improved retrieval relevance by 20%.

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Stack

Python

TypeScript

Java

Azure OpenAI

AWS Bedrock

LangChain / LangGraph

SageMaker

FastAPI

Spring Boot

Node.js

React

Next.js

Tailwind CSS

Azure

AWS

GCP

Kubernetes

Docker

PostgreSQL

Snowflake

Kafka

About me

I'm a Senior AI/ML Full Stack Engineer based in Austin, TX, with a Computer Science degree from Texas Tech University, focused on production Generative AI and scalable backend services. I've led end-to-end design of LLM applications on Azure OpenAI and AWS Bedrock, engineered RAG pipelines with Azure AI Search and semantic retrieval, orchestrated agentic workflows with LangChain and LangGraph, and established the LLM evaluation and AI safety practices that keep them trustworthy in production. I'm looking to apply that expertise to high-impact, reliable solutions.

Experience

Senior Software Engineer

MyFitnessPal · 06/2021 — 07/2026

Led end-to-end design and delivery of production Generative AI applications, partnering with product, architecture, and engineering teams to turn business requirements into scalable AI solutions.

Led end-to-end design of production Generative AI applications, reducing time-to-market for new features by three weeks
Developed LLM-powered applications with Azure OpenAI and AWS Bedrock for conversational AI, enterprise knowledge retrieval, document intelligence, and workflow automation
Engineered RAG pipelines with Azure AI Search, embeddings, and semantic search, improving retrieval relevance by 20% and cutting poorly grounded responses by 25%
Orchestrated agentic, multi-step AI workflows with LangChain and LangGraph, integrating tools, APIs, retrieval components, and stateful workflows
Integrated Amazon SageMaker and Snowflake into AI/ML workflows for experimentation, data preparation, analytics, and scalable data access
Established LLM evaluation practices across answer relevance, context relevance, faithfulness, hallucination reduction, and citation accuracy, raising evaluation scores by 25% and reducing model-quality issues by 40%
Strengthened AI safety with Python validation logic, content moderation, grounding strategies, blocked-topic controls, and escalation workflows, cutting unsafe or unsupported responses by 35%
Built responsive AI applications with Python, FastAPI, TypeScript, React, and WebSockets, backed by Azure DevOps CI/CD, production monitoring, and observability

Software Engineer

Charles Schwab · 04/2020 — 06/2021

Engineered enterprise backend services and APIs for brokerage systems, focused on latency, throughput, and operational reliability.

Engineered enterprise backend applications with Python, Java, and Spring Boot, reducing average request latency by 15% while roughly doubling transaction-processing capacity
Implemented RESTful and GraphQL APIs and microservices with established integration and security practices, cutting internal integration time by 30%
Optimized PostgreSQL data models, queries, and access patterns, improving query performance by 25%
Deployed cloud applications on AWS EC2, RDS, S3, and Lambda, raising system availability to 99.9% and reducing provisioning time by 40%
Refactored backend processing through concurrency optimization and application profiling, reducing CPU utilization by ~20%
Automated build, deployment, and release workflows with scripting and CI/CD tooling, reducing manual deployment effort

Software Developer

General Motors · 01/2018 — 04/2020

Delivered full-stack enterprise CRM applications on Azure, from React interfaces through Go microservices and event-driven backends.

Built responsive enterprise frontends with React.js, JavaScript, and Tailwind CSS, delivering modern interfaces for internal users
Integrated React components with Node.js APIs and Azure services to ship CRM pages and business workflows, reducing manual data entry by 25%
Implemented scalable backend services and APIs with Go and microservice architecture, connecting CRM functionality to enterprise systems
Optimized PostgreSQL schemas and SQL queries, reducing average query latency by 15%
Deployed and supported applications on Azure App Service and Azure Kubernetes Service with Apache Kafka event-driven messaging
Partnered with product, QA, and engineering to test, debug, and optimize Node.js and FastAPI services, and contributed Azure DevOps and Bamboo pipelines

Enterprise Architecture Consultant

ExxonMobil · 07/2015 — 08/2016

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

Designed AWS and Azure cloud migration strategies for 4 enterprise applications, using Docker and MySQL to define phased modernization plans that cut migration downtime by 20%
Translated business and technical requirements into scalable enterprise solutions, aligning stakeholders, architects, and engineers through TOGAF practices
Produced Architecture Reference Documents and future-state models with TOGAF, ArchiMate, and Visio, standardizing guidance across 15 modernization initiatives
Established architecture governance standards, target architectures, and migration approaches, including Amazon SQS integration patterns

How I work

Architecture First: Requirements translated into a design before code. No feature creep.
Measurable Outcomes: Latency, relevance, and cost targets defined up front, then proven.
Evaluated & Guarded: LLM output measured for relevance, faithfulness, and citation accuracy before ship.
Cross-Functional: Close partnership with product, architecture, and QA across the SDLC.

What I can help you with

RAG pipelines and agentic AI workflows with Azure AI Search, LangChain, and LangGraph.
Production LLM applications on Azure OpenAI and AWS Bedrock, with evaluation, guardrails, and grounding.
Cloud-native backends and APIs with Python, FastAPI, Spring Boot, 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 and full-stack expertise to high-impact, reliable products. Reach out if you'd like to connect.

LinkedIn@nicholas-marler