Public Engagements
PyData Boston & MODERNA
Smart Document Router
Speaker: Andrei Radulescu-Banu
Date: Feb 26, 2025
Abstract: 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.
Slides: PyData Smart Document Router Presentation
See: LinkedIn Post
AI CAMP & VERACODE
Coding With AI
Speaker & Moderator: Andrei Radulescu-Banu
Date: Oct 30, 2024
Abstract: A practical look at writing software with AI tools:
– Scripting Claude.AI
– Using the Cline VsCode add-on (open source)
– Using Cursor
Recording
Slides: Coding With AI
See: Andrei’s LinkedIn Post

AI Furnace & Aethos
AI Human-in-the-Loop Panel
Hosts: The AI Furnace and AEthos
Speakers: Andrei Radulescu-Banu, Dipali Trivedi and Brian Benedict
Moderator: Nico van Wijk
Date: Sept 24, 2024
Summary: Andrei’s Blog Post
Topics discussed:
– How is human-in-the-loop implemented, in practice?
– Humans in the loop – when used during LLM development? And when in the end product, developed on top of the LLMs?
– How are LLM models evaluated? Current limitations of that?
– How can language models generate unit tests used for evaluating LLM code generation?
– Given unit tests establishing an expected behavior, can LLMs just generate the code satisfying these unit tests? And is that a good way to write software autonomously?
– How important is it for humans to understand code generated by AI?

Cambridge, MA
HackMIT 2024
Panel Judge & Mentor: Andrei Radulescu-Banu (Analytiq Hub)
Date: Sept 14-15, 2024
Summary: Andrei’s Blog Post
AI Camp
LLM Orchestration At Scale
Speaker: Andrei Radulescu-Banu (Analytiq Hub)
Date: Jul 26, 2024
Abstract: 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.
Speaker: Andrei Radulescu-Banu (Analytiq Hub)
Date: Feb 21, 2024
Abstract: 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.