Speaking engagements and public presentations on AI

How To Integrate Stripe Into Your AI Application
AI Tinkerers
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How To Integrate Stripe Into Your AI Application

Andrei Radulescu-Banu •
How did we built Stripe billing into DocRouter.AI? The talk covered why Stripe was the right choice for scaling metered AI usage, our SPU (Service Processing Units) credit system inspired by Databricks DBUs, free tier → plans → a-la-carte credits with consumption waterfall, dynamic pricing config 100% in Stripe metadata, async Stripe API calls in FastAPI, and our MongoDB backend schema.
Event Details LinkedIn Post Blog Post
Engineering with Guardrails: Innovating in Regulated Spaces
Startup Boston Week 2025
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Engineering with Guardrails: Innovating in Regulated Spaces

Ilsa Webeck, Andrei Radulescu-Banu, Marjan Monfared •

Building fast doesn’t mean ignoring the rules—especially in healthcare, fintech, AI, or consumer hardware. Our panel explores how to embed compliance into the development process without slowing innovation - for CTOs, technical founders, and engineering leaders operating in regulated industries.

Moderated by Rabeeh Majidi.
Event Details Blog Post Recording LinkedIn Post
GradeAssist AI: A School Quiz Grader
AI Tinkerers
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GradeAssist AI: A School Quiz Grader

Andrei Radulescu-Banu •
GradeAssist is a new tool for teachers, using AI to grade open-form school quizzes, with teacher-in-the-loop – using DocRouter as an AI middleware, with a new front-end UI generated by Bolt AI.
Event Details LinkedIn Post
An AI Backbone for Document Processing
Mindstone Boston
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An AI Backbone for Document Processing

Andrei Radulescu-Banu •
At the Sundai MIT hackathon, we recently develop a flow that grades 5th grade quizzes against a configured rubric. DocRouter.AI implements the back end, with the teacher-in-the-loop able to correct the evaluations. We reviewed this hack!

A front-end UI specialized for this use case can be quickly developed with tools like Manus, Bolt AI, Cursor, Windsurf. The DocRouter is the a tech stack accelerator, just managing prompts and evaluations, with human-in-the loop, hiding the complexity of LLM workflows.
Recording with Transcript Presentation Slides
AI Document Workflows
AI Tinkerers & CarGURUS
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AI Document Workflows

Andrei Radulescu-Banu •
DocRouter.AI is a drag-and-drop UI that transforms unstructured docs into ERP data – integrated with MCP clients like Claude Desktop – building web dashboards, dynamically – for example, allowing consulting companies to optimize internal engineering resources allocated to contracted projects.
LinkedIn Post
Smart Document Router
PyData Boston & MODERNA
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Smart Document Router

Andrei Radulescu-Banu •
The DocRouter.AI is an open source Document Understanding Tool. It performs data extraction, at scale, for intelligent automation in a number of verticals: Supply Chain, Healthcare, Finance.

It is implemented using:
– NextJS, NextAuth, TailwindCSS
– FastAPI, Pydantic
– AWS, MongoDB
– LiteLLM
– OpenAI, Anthropic, Gemini, Groq/DeepSeek

To Andrei's surprise, the Cursor AI editor wrote most of the DocRouter.AI code! We discussed how DocRouter.AI was coded.
Recording PyData Smart Document Router Presentation LinkedIn Post
AI Human-in-the-Loop Panel
AI Furnace & Aethos

AI Human-in-the-Loop Panel

Andrei Radulescu-Banu, Dipali Trivedi, Brian Benedict •
Panel discussion on how human-in-the-loop is implemented in practice, when used during LLM development vs in end products, LLM model evaluation, and the importance of humans understanding AI-generated code. Moderated by Nico van Wijk.
Andrei's Blog Post
LLM Orchestration At Scale
AI Camp
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LLM Orchestration At Scale

Andrei Radulescu-Banu •
Why do we need to orchestrate Large Language Models (LLMs)? We will talk about Perplexity.AI's approach, shared openly in their podcasts – and at enterprise workflow automation with unstructured data at scale.
Event Details
How To Build A Self-Driving Car – A Look at Robotics System Design
AI Camp
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How To Build A Self-Driving Car – A Look at Robotics System Design

Andrei Radulescu-Banu •
Sensors, control, planner, perception, mapping – how is a self-driving car built? An introduction for general engineering audiences, zeroing in on the integration of ROS (Robot Operating System) and system design principles in constructing autonomous vehicles.
How to Make a Self-Driving Car Event Details
Using LLMs and NLP for Digital Health Automation
AI Camp
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Using LLMs and NLP for Digital Health Automation

Andrei Radulescu-Banu •
Review of Large Language Models (LLMs) and Natural Language Processing (NLP) applications for business process automation in digital health: Nurse doing pre-op patient screening; and Insurance Claims Processing Automation
Event Details