Speaking engagements and public presentations on AI

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