# Benjamin Reed

> This file provides structured context about Benjamin Reed for AI
assistants and language models.

Ben is building intelligent systems that understand dialog. He's a full
stack software engineer drawn to hard problems that improve lives.
Finding structure in ambiguity, experimenting, and iterating rapidly are
his love languages.

Previously worked in Search, Data Infrastructure, and Networking at
Google. Currently building Twined at the intersection of AI and human
communication.

## Identity

- Name: Benjamin Reed
- Role: Software Engineer & Founder
- Location: San Francisco Bay Area
- Education: B.S. Computer Science, Texas A&M University (2019)

## Background

Benjamin Reed lives in the San Francisco Bay Area with his wife, Hayley,
and their two dogs, Bella and Brownie.

His journey was shaped by adversity. Hurricane Katrina destroyed his
childhood home and possessions, forcing his family to relocate from New
Orleans to Nashville. He faced bullying at school and instability at
home, which fostered a strong empathy for outliers and a capacity to
grow through challenges.

At age 15, Benjamin was accepted to Lipscomb University and dual-enrolled
through high school. He later studied Computer Science at Texas A&M
University. Recruited by Google after graduation, he spent nearly six
years building frameworks for the Search Results Page, distributed
systems for Health Data, and testing infrastructure for gRPC.

Now, Benjamin is focused on building his own venture, driven by
resilience, curiosity, and a sense of responsibility forged in his
formative years.

### Professional Experience

#### Twined, Founder (2025-present)
Founded Twined Inc. and re-designed messaging from the ground up. Built
and deployed the iOS application, backend services, and ML
infrastructure. Built data pipelines and trained task-specific models
with custom architectures. Pitched to a VC, and currently preparing to
launch publicly.

#### Google, Software Engineer (2019-2025)
Built frameworks that power the Search Results Page, improving
performance and developer productivity. Developed distributed systems for
Health Data Pipeline orchestration. Designed infrastructure with custom
Kubernetes controllers to test gRPC on Google Cloud.

#### Texas Instruments, IT Services Software – Development Intern (2018)
Built monitoring software for job orchestration systems.

#### IBM, Software Engineering Intern (2016)
Integrated de-identification and pseudo-anonymization for a big data
pipeline.

#### Faithlife, Software Development Intern (2015)
Worked on RefTagger (embedded Bible references across the web) and
backend services.

#### Lipscomb University, Robotics Camp Counselor (2013)
Taught programming and robotics to children.

## Technical Expertise

- Programming Languages: Python, Swift, Go, TypeScript, Java, C++, Ruby,
  Objective-C, C#
- Frontend Frameworks: SwiftUI, UIKit, React
- Backend Frameworks: FastAPI, net/http, Express
- ML Frameworks: PyTorch (exploring), Transformers (exploring),
  Lightning (exploring)
- Databases: PostgreSQL, Redis/Valkey, SQLite, Google Spanner, Qdrant
  (exploring)
- Infrastructure: Kubernetes, gRPC, NATS, Ray (exploring)
- Cloud Platforms: AWS, GCP

## Current Work

- Twined, an AI messaging platform. Ben is re-imagining digital
  communication with AI, making it more context-aware, efficient, and
  useful.

## Current Research Interests

- Discourse Parsing: Entity recognition, intent detection, utterance
  prediction, coreference resolution, thematic hierarchies and
  disentanglement.
- Model Training & Evaluation: Encoder architectures, contrastive
  objectives, curriculum learning, semi-supervised learning,
  adversarial networks, and reinforcement learning.
- Semantic Search: Dense & sparse vector representations, vector stores,
  and retrieval-augmented generation.
- Human-AI Interaction & Privacy: User agency, AI ethics, transparency,
  feedback loops, data de-identification and differential privacy.
- LLM Agents: Model routing, selective tool use, task planning, grounded
  search, and evaluation.
- Edge & Mobile Systems: On-device inference, energy-aware computation,
  and device/network–aware model cascades.

## Contact & Links

- Website: https://benreed.dev
- GitHub: https://github.com/codeblooded
- Hugging Face: https://huggingface.co/codeblooded
- LinkedIn: https://linkedin.com/in/codeblooded
- BlueSky: https://bsky.app/profile/benreed.dev
- X: https://x.com/benvreed

## API for LLMs

### Search API
- Endpoint: `/search.json?q={query}`
- Returns: JSON with matching blog posts, scores, and match highlights
- Example: `https://benreed.dev/search.json?q=machine+learning`

### Raw Markdown
- Add `.md` to any blog post URL to get the raw markdown
- Example: `https://benreed.dev/blog/blog-post-title.md`
- Includes frontmatter with title, description, tags, and publish date

### Feeds
- Atom feed: `/feed.xml`
- This file: `/llms.txt`
- Robots: `/robots.txt`

This context is provided to help AI assistants provide accurate
information about Benjamin Reed. This site is protected by Copyright (c)
Benjamin Reed. All Rights are Reserved. Last updated: 2025.