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EXPERIENCE & CAPABILITIES

The work.
The experience.

AI Researcher & Senior Software Engineer

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PROFILE

Richard Everts

Senior Python, AI, and full-stack engineer building production software since 2010. Experience spans backend architecture, applied AI, retrieval-augmented generation, multimodal sensing, simulation, and technical team leadership.

CORE STRENGTHS

Backend & architecture

Python, FastAPI, Flask, Django, Node.js · REST and GraphQL APIs, microservices, event-driven systems · Docker, Redis, SQS/SNS, RabbitMQ

Applied AI

LLM integrations, retrieval-augmented generation, GraphRAG · LangChain, LlamaIndex, embeddings, vector databases · Multi-agent orchestration, evaluation harnesses, computer vision

Product & cloud

React, Next.js, React Native, TypeScript · AWS Lambda, ECS/Fargate, S3, CI/CD · Rust, WGPU, PyTorch, TensorFlow, ONNX

PROFESSIONAL EXPERIENCE

2025–present

Deep SIML Labs

Lead AI Researcher

  • Develop AI pipelines in Rust and Python, with a focus on simulation and cognitive systems.
  • Built a 3D simulation stack with custom compression and retrieval.
  • Publish research and technical artifacts connecting the Free Energy Principle with system architecture.
2020–2024

Bestie Bot

CTO, Principal Full-Stack AI Engineer & Engineering Manager

  • Led development of AI telehealth systems combining language models, computer vision, and digital twinning.
  • Principal investigator on a PennAITech pilot for RGB-D and thermal home monitoring, supported through the NIA-funded a2 Collective.
  • Delivered React, React Native, and Next.js applications alongside Python microservices and NVIDIA edge systems.
  • Built multimodal retrieval and production evaluation, release, and monitoring pipelines; managed a distributed engineering team.
2010–present

Independent engineering

Contract Full-Stack Engineer & AI Build Lead

  • Designed enterprise AI architecture, high-volume ingestion, and distributed data workflows.
  • Integrated observability and evaluation with LangSmith, Sentry, and Promptfoo.
  • Delivered React and Next.js applications for clients including HP, Intel, ZenBusiness, PledgeIt, and Quub.
  • Built document and video processing workflows with AWS Lambda, S3, and asynchronous orchestration.
2013 release

The United States of Autism

Director, Producer & Editor

  • Created a feature documentary exploring autism through the experiences of families across America.
  • The production followed an 11,000-mile journey over 40 days, with interviews filmed in five languages.

EDUCATION

Bachelor of Arts in Philosophy

Franklin & Marshall College

Scientific and Philosophical Studies of the Mind, including AI and neuroscience.

SELECTED RECOGNITION & CREDENTIALS

  • Inventor, US11388238B2: Localized situational intelligent awareness from multiple sensor types through a 4-dimensional state system; granted July 12, 2022.
  • Runner-up, Federalist Society Future of AI in Law Symposium for National Security (2024), for the AI Rollback (AIR) Strategy Framework.
  • AWS Machine Learning Foundations, Udacity (2022).
  • Robotics Software Engineer, Udacity (2019).
  • Build a Modern Computer from First Principles, Coursera (2017).

For research collaborations, speaking invitations, or engineering opportunities:

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