Daniel Brooks - LLM & Agents

Overview

Generative AI and backend software engineer with 8+ years of experience building scalable products using REST APIs, cloud deployments, and automated CI/CD. Delivered LLM-based applications using RAG and vector search, and also built full-stack web and mobile solutions with React/Next.js and React Native/Expo. Previously worked on machine learning for predictive failure detection, including data processing, analytics, and dashboarding.

Timeline

Senior Software Engineer & Team Lead · Lead

AS-P · Full-Time

Jun 2025 to Present 1 Year 5 Months Partially remote

Built scalable backend services and REST APIs, integrating AI-powered LLM capabilities using RAG workflows and quality evaluation. Designed and optimized data pipelines and database operations to improve reliability and processing efficiency. Implemented resilience features such as retries, idempotency, circuit breakers, plus logging and monitoring, and supported automated testing and CI/CD for production deployments.

LLM

RAG

Rest API

CI/CD

Senior Software Engineer · Senior

TheAMLab · Full-Time

Jun 2022 to May 2025 2 Years 11 Months Partially remote

Developed responsive web applications with React and Next.js, and built full-stack features using a MERN stack. Created cross-platform mobile apps with React Native and Expo, integrating REST APIs and Firebase services. Delivered backend API and database integrations, and improved quality through testing, debugging, performance tuning, and CI/CD workflows.

React.js

Next.js

JavaScript

TypeScript

Express

Node JS

React Native

Expo

Firebase

Rest API

CI/CD

Senior Generative AI Engineer · Senior

Orthogonal · Full-Time

Feb 2019 to May 2022 3 Years 3 Months Partially remote

Built AI-powered backend services using Python and FastAPI, integrating LLMs with Retrieval-Augmented Generation and vector search workflows. Implemented REST APIs, database integrations, and data processing steps to improve retrieval performance and system reliability. Evaluated prompts and ML outputs for quality and cost, containerized services with Docker, and supported CI/CD and cloud deployment operations.

Python

FastAPI

LLM

RAG

Embeddings

Rest API

Docker

CI/CD

Software Engineer, Machine Learning · Middle

Walmart · Full-Time

May 2017 to Jan 2019 1 Year 8 Months Partially remote

Developed predictive models for failure detection using historical error logs and device performance data. Analyzed large datasets with DB2, Hadoop, Scala, and Python to identify failure patterns for improved predictive analytics. Built C#/.NET services and SQL Server procedures to support data processing and integrations, and created Power BI dashboards to monitor trends and support maintenance decisions.

Db2

Hadoop

Scala

Python

C#

MS SQL

Power BI

University of the Punjab

Bachelor's Degree · Computer Science

2018 Lahore, Pakistan

Technical skills

Languages

10

Python

JavaScript

TypeScript

C#

Scala

Node JS

SQL

Java

Ruby

Dart

DevOps

5

Rest API

Docker

CI/CD

AWS

Azure

AI/ML

4

LLM

Hadoop

Embeddings

RAG

Mobile

3

Firebase

React Native

Expo

Databases

3

MS SQL

Db2

PostgreSQL

Other

63

FastAPI

React.js

Express

Next.js

Power BI

Ruby on Rails

Django REST Framework

Django

Flask

ASP.NET Core

Entity Framework Core

Nest.JS

Amazon S3

GCP

Kubernetes

LangChain

LangGraph

LlamaIndex

NumPy

PyTorch

Scikit-learn

TensorFlow

Transformers

Flutter

Tailwind CSS

Google BigQuery

MySQL

Redis

Angular

Bootstrap

Redux

Azure Cosmos DB

Chroma

pgvector

Pinecone

Qdrant

Weaviate

Azure AKS

GitHub

GitHub Actions

Hugging Face

OpenAI

Spark

Apache Kafka

Azure DevOps

Git

Linux

OneSignal SDK

Supabase

Sentry

Prisma

Model Context Protocol

Twilio

Vite

Helm

AI Agents

Machine Learning

PostCSS

GraphQL

CircleCI

Prompt Engineering

Function Calling

ETL/ELT

Job preferences

Work permits: United States, Pakistan
Citizenship: Pakistan
Salary: from $80k per year
Employment type: Full-Time