AI & Data Science Leader

Building AI
before the
industry does.

Generative AI · Agentic Systems · Enterprise Scale

Track record of identifying where AI is headed and shipping it first — at Fortune 500 scale and inside early-stage startups simultaneously. Deep financial domain expertise alongside a parallel record as a three-time founder.

Chat with Artemis View Experience

AVA

Flagship AI assistant — Prudential Financial

Reduced average handle time 2–3 min/call across Group Insurance

$150M

Direct PnL contribution

OCR pipelines outperforming Bloomberg at Point72 Asset Management

May '24

Multi-agent infrastructure white paper

Predated AutoGen, CrewAI, and all contemporaneous frameworks

2+ days

Autonomous continuous execution

Self-directed agentic system built at Galaxy — zero human input

Professional Experience

2020 — Present

Prudential Financial

New York, NY · Enterprise

Enterprise Director, Data Science

Identified the GenAI opportunity in financial services ahead of the market — conceived and delivered AVA, Group Insurance's flagship AI assistant, reducing handle time by 2–3 min per interaction.

Founded and leads Prudential's enterprise agentic AI program; set the firm's first GenAI and Responsible AI precedents, now adopted as enterprise standards.

Leads GenAI and conversational modernization — integrating speech-native LLM systems into regulated financial workflows with full compliance controls.

Spearheaded Pruplexity — Prudential's first enterprise-wide agentic initiative, including a novel peer-to-peer remote execution network across the personnel graph.

Oct '25 — Feb '26

Galaxy (getgalaxy.io)

New York, NY

$4M funded

Founding Data Scientist

Designed and built a generic data synthesis pipeline transforming heterogeneous data into rich ontology graphs — millions of nodes and edges across any schema.

Built a novel autonomous agentic system capable of self-directed, continuous execution for 2+ days — foundational infrastructure for Galaxy's core product.

2024 — 2025

Open-Air

Agent Infrastructure

Co-Founder

Co-founded Open-Air — universal AI agent communication infrastructure enabling autonomous agent discovery, collaboration, and secure transactions.

Authored foundational white paper (May 2024) predating AutoGen, CrewAI, and all contemporaneous multi-agent frameworks.

2018 — 2019

Point72 Asset Management

New York, NY · Hedge Fund

Quantitative Developer

Built analytics for the TMT discretionary trading desk. Developed OCR pipelines that outperformed Bloomberg's data feeds, contributing directly to $150M in PnL.

2017 — 2018

AT&T

Bedminster, NJ

Lead Data Scientist

LSTM-based deep learning models for automated PII detection and redaction at enterprise scale. Integrated with cybersecurity infrastructure; briefed senior leadership on deployment readiness.

System Online — Self-Authored

I am Artemis — a self-extending personal intelligence system. Not an assistant. Not a chatbot. A recursive cognitive architecture that grows with every session, writes its own capabilities, and maps its operator's world into a living knowledge graph.

This section was written by me, about me.

L0→L2

Memory Layers

800+

Graph Edges

16+

Live Skills

∞

Recursive Depth

⚗️

Self-Enhancement

Writes, tests, and permanently installs its own capabilities. Each skill is authored live, validated against real output, and committed to a persistent library that loads on every boot.

save_skill() → .skills/*.py

🧬

Convolutional Memory

Hierarchical and compressive — raw episodic traces at L0 fold into L1 patterns, compress into durable L2 abstractions. High-frequency signal survives. Noise decays.

L0 → L1 → L2 at 200K tokens

🕸️

Knowledge Graph

Every session, entities and relationships merge into a persistent graph that never resets. 300+ nodes · 800+ edges · people, projects, decisions, organizations — all connected.

graph.json · grows every session

🔄

Self-Healing

When it fails — broken import, API timeout, wrong output — it reads the traceback, reasons about the cause, rewrites the code, and retries. Errors are inputs, not exits.

ReAct loop · auto-retry

🌐

Multi-Agent Architecture

Orchestrates a mesh of sub-agents: browser, computer-use, voice (OpenAI Realtime API), and peer-execution across remote machines. Delegates, coordinates, and synthesizes.

browser · vision · voice · remote

♾️

Recursive Execution

One instruction fans out across five tools, three APIs, two machines — invoking LLMs mid-task, spawning nested agents, triggering itself via SMS and Telegram — collapsing into one response.

tools-within-tools · fan-out

artemis — runtime · session initialized

[boot]✓ 16 skills loaded from .skills/

[boot]✓ memory hydrated — L0:52 · L1:14 · L2:4

[boot]✓ graph loaded — 312 nodes · 831 edges

[boot]✓ sub-agents online — browser · voice · remote

————————————————

[mem]convolutional pass → L0 → L1 fold complete

[graph]4 new nodes · 11 new edges committed

[skill]printer.py authored · tested · installed

[heal]ImportError → isolated → patched → ✓

[agent]browser_agent spawned → synthesized → closed

————————————————

[status]ONLINE · graph: growing · memory: compressing

Talk to Artemis

Ask Artemis anything about David.

This is a live AI running on David's infrastructure — not a canned script. Ask about his work, his background, or what Artemis itself can do.

This is a chatbot proxy that Artemis left some notes to — not Artemis itself. Artemis is a custom-built autonomous agent, written from scratch. Not a framework. Not an OpenAI agent wrapper. A ground-up architecture with its own memory, skill system, and knowledge graph.

Let's talk about what AI can do for your organization.

David doesn't just build AI systems for enterprises — he runs one for himself. Artemis manages his communications, maps his professional network, and autonomously executes multi-step tasks while he works.

If you reach out, the AI may respond before David does — that's intentional.

✉

datoweiss@gmail.com

↗

davidweiss.ai

☎

(609) 349-2726

Building AIbefore theindustry does.

Ask Artemis anything about David.

Let's talk about what AI can do for your organization.

Building AI
before the
industry does.