Hi, I'm

Brendan White

Staff & Senior-Level Engineer

Staff and senior-level engineer with 10+ years of experience building full-stack applications and AI solutions for production. Expert in Python, TypeScript/JavaScript, Node.js, and LLM integration to develop custom AI agents, intelligent applications, and reusable frameworks. Proven track record of shipping scalable, cloud-native systems on Azure, using Docker and Linux, with strong skills in SQL, NoSQL, and real-time data pipelines.

Contact Me

React

TypeScript

Tailwindcss

Nodejs

Csharp

Spring

Java

Ruby

Mysql

Supabase

Web3

Solana

Ethereum

Solidity

Hardhat

Truffle

Aws

Docker

Kubernetes

Jenkins

Bash

Astro

React

TypeScript

Tailwindcss

Nodejs

Csharp

Spring

Java

Ruby

Mysql

Supabase

Web3

Solana

Ethereum

Solidity

Hardhat

Truffle

Aws

Docker

Kubernetes

Jenkins

Bash

Astro

React

TypeScript

Tailwindcss

Nodejs

Csharp

Spring

Java

Ruby

Mysql

Supabase

Web3

Solana

Ethereum

Solidity

Hardhat

Truffle

Aws

Docker

Kubernetes

Jenkins

Bash

Astro

My Arsenals 💪

AI & LLM Integration

LLM integration (OpenAI, Azure OpenAI, Anthropic), custom AI agents, Model Context Protocol (MCP)

Vector search & RAG, AI frameworks (LangChain, LlamaIndex, Semantic Kernel)

MLOps and model deployment

Full-Stack Development

Python, TypeScript, JavaScript, Node.js

RESTful APIs, C#/.NET, frontend development

Microservices, event-driven architecture (Kafka, Event Hubs)

Cloud & DevOps

Azure (Functions, App Service, Container Apps, OpenAI)

Docker, Kubernetes, Linux, AWS

CI/CD, cloud-native architecture, infrastructure as code

Data & Databases

SQL (SQL Server, PostgreSQL), NoSQL (MongoDB)

Vector databases and data pipelines

Power BI & Power Platform integration, streaming data

Methodologies & Soft Skills

Production system design and consulting

Enterprise security & compliance, technical documentation

Cross-functional collaboration and client communication

Professional Journey

Work Experience

Staff Engineer, Engineering and Operation

Comcast

Nov 2023 – Present

Architected and deployed a suite of custom AI agents using Python and LangChain to automate operational runbooks, reducing incident resolution time by 40%.

Key Achievements:

• Architected and deployed a suite of custom AI agents using Python and LangChain to automate operational runbooks, reducing incident resolution time by 40%.
• Led the development of a full-stack internal platform using Node.js, TypeScript, and React to manage ML model deployments and A/B testing, improving team velocity by 25%.
• Implemented Model Context Protocol (MCP) integrations to connect Azure OpenAI models with enterprise SQL Server and PostgreSQL databases, enabling secure RAG workflows.
• Built scalable data pipelines using Python and Kafka for real-time processing of telemetry data, feeding Power BI dashboards for service health reporting.
• Containerized all microservices using Docker and orchestrated them on Azure Container Apps, achieving 99.95% uptime for critical AI workloads.
• Developed reusable frameworks and templates in Python and TypeScript for LLM integration, accelerating the deployment of intelligent applications for cross-functional teams.
• Engineered event-driven architectures using Azure Functions and Event Hubs to process streaming data, supporting real-time AI interactions for client-facing features.
• Integrated vector database solutions for semantic search capabilities within the platform, enhancing the relevance of AI-generated insights by 30%.
• Optimized CI/CD pipelines for Docker-based deployments to Linux environments, hardening release processes and reducing deployment failures by 60%.
• Collaborated with security teams to ensure all AI solutions and data pipelines met enterprise compliance and security standards for production use.

Senior Generative AI Engineer, Generative AI/ML

Comcast

Jan 2020 – Nov 2023

Built and productionized custom AI agents and NLP systems using Python, OpenAI APIs, and Azure OpenAI, directly supporting business-critical decision-making tools.

Key Achievements:

• Built and productionized custom AI agents and NLP systems using Python, OpenAI APIs, and Azure OpenAI, directly supporting business-critical decision-making tools.
• Designed and implemented RAG systems using vector search with MongoDB and PostgreSQL to connect LLMs to vast enterprise knowledge bases.
• Developed intelligent web applications with Node.js and TypeScript frontends, creating intuitive chat interfaces for internal stakeholders.
• Created secure data pipelines in Python to feed real-time data from SQL Server into AI models, ensuring fresh context for AI interactions.
• Containerized ML models and serving applications using Docker, deploying them to Linux-based Kubernetes clusters on Azure for scalable model serving.
• Established MLOps best practices, including model versioning, drift monitoring, and performance tracking, which became reusable IP for the organization.
• Researched and prototyped emerging AI frameworks like LlamaIndex and Semantic Kernel, evaluating their applicability for client use cases and documenting patterns.
• Architected microservices using C#/.NET and Python to decompose a monolithic analytics platform, improving scalability and developer independence.
• Integrated Power BI reports directly into AI-powered dashboards, allowing users to query data naturally via LLM-driven interfaces.
• Shipped multiple full-stack, model-backed features to production using controlled rollout patterns, resulting in zero critical post-launch incidents.

Manager, Platform Cloud Architecture

Velvetech LLC

Jun 2018 – Dec 2019

Designed and implemented cloud-native architectures on AWS and Azure for client projects, focusing on scalability, security, and cost optimization.

Key Achievements:

• Designed and implemented cloud-native architectures on AWS and Azure for client projects, focusing on scalability, security, and cost optimization.
• Led platform decisions around containerization with Docker, environment standardization, and operational readiness for production deployments.
• Developed reusable infrastructure templates and deployment accelerators for Azure services, significantly speeding up project kick-offs for consulting teams.
• Built data integration patterns to connect applications with PostgreSQL and MongoDB databases, forming the foundation for later AI and analytics work.
• Established CI/CD pipelines and Git-based workflows that improved code quality and deployment frequency across engineering teams.
• Collaborated with engineering teams to align microservices architecture with performance and compliance expectations for enterprise clients.
• Created comprehensive documentation and runbooks for cloud architectures, turning project knowledge into organizational IP.

Full Stack Engineer, Platform Enablement

SoundCloud

Jan 2015 – May 2018

Built internal platform capabilities using Node.js and Python that improved developer workflows and standardized service delivery.

Key Achievements:

• Built internal platform capabilities using Node.js and Python that improved developer workflows and standardized service delivery.
• Developed RESTful APIs and frontend components to support product teams in building and deploying their services more efficiently.
• Contributed to the development of internal tools that automated environment provisioning and configuration management.
• Improved system reliability and observability by implementing better logging, monitoring, and alerting practices.
• Participated in the full software development lifecycle, from design and coding to testing and production deployment.
• Gained foundational experience in SQL and data concepts while working on features that involved user data and analytics.
• Helped establish engineering best practices around code reviews, testing, and maintainable code architecture.

Brendan White

Staff & Senior-Level Engineer

My Arsenals 💪

AI & LLM Integration

Full-Stack Development

Cloud & DevOps

Data & Databases

Methodologies & Soft Skills

Professional Journey

Work Experience

Staff Engineer, Engineering and Operation

Key Achievements:

Senior Generative AI Engineer, Generative AI/ML

Key Achievements:

Manager, Platform Cloud Architecture

Key Achievements:

Full Stack Engineer, Platform Enablement

Key Achievements:

Academic background

Education

Bachelor of Science, Computer and Information Sciences

Certifications

AWS Certified Solutions Architect – Associate

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