Chris Robertson
System Online

Chris Robertson

Agentic AI Engineer

Mountain Lakes, NJ | New York, NY

Multi-agent orchestration is the future of enterprise software. I specialize in building autonomous workflows, reasoning pipelines, and highly scaled systems using state-of-the-art foundation models.

"Building the intelligent enterprise, one agent at a time."

Core Proficiencies

> Agentic Systems

Multi-Agent Orchestration Tool-Use (Function Calling) Autonomous Planning Python (FastAPI) PostgreSQL / Vector DBs Docker
Neural Telemetry

> SOTA Models & Intelligence

GPT-4o / o3 / OpenAI Stack Gemini 2.5 / DeepSeek R1 Llama 4 Long-term Memory (RAG) System Prompt Engineering Computer Vision / NLP

Professional Experience

Athena Intelligence — Forward Deployed Engineer

Sep 2025 - May 2026
  • Deployed Athena's Olympus AI platform into Fortune 500 VPC environments (Lowe's, KPMG), architecting secure data pipelines that kept sensitive data entirely within client perimeters
  • Designed and shipped production AI agents with formalized Agentic Operating Procedures (AOPs), establishing repeatable patterns for scaling AI-first analytical workflows across client teams
  • Owned the full deployment lifecycle: wrote production Python, managed third-party integrations, and served as the primary technical interface between Athena engineering and enterprise stakeholders
  • Led client-facing training sessions and live platform demos, translating complex multi-agent capabilities into actionable business value for non-technical audiences

Scale AI (Outlier) — Data Scientist

Apr 2024 - Sep 2025
  • Contributed to LLM alignment through RLHF: authored, reviewed, and ranked model-generated Python and SQL code across data science and analytics domains
  • Engineered evaluation prompts and fine-tuning datasets that improved model performance on complex reasoning, code generation, and data analysis tasks

Perrigo — Finance Technology Consultant

Nov 2024 - Jun 2025
  • Automated SAP invoice reconciliation for unit-of-measure discrepancies using a Python+SAP integration, eliminating manual data entry and recovering 5–15% processing efficiency
  • Built end-to-end financial reporting automation across 3 SAP systems — from screenshot capture to PDF generation, data cleaning, and pivot table assembly — replacing a multi-day manual tie-out process

Education & Agentic Capabilities

MIT MIT Applied Data Science Program

Jun 2023

Boston College Boston College

May 2016
B.S. Mathematics, Economics Minor

🎬 Recommendation Agent

Autonomous content curation and semantic filtering agent.

⭐ Sentiment Analysis Agent

NLP agent for large-scale corpus sentiment evaluation.

🌾 Computer Vision Agent

Vision agent for automated agricultural quality control.

⚡ Predictive Forecasting Agent

Time-series agent for predicting real-time grid demand.

Proof of Concepts & Integrations

Live API Orchestration

Live

Async parallel calls to NASA APOD, ESPN, and Open-Meteo weather APIs — rendered in real-time.

Fetching live data...

Full-Stack Build: Harrington Rice

End-to-end design, build, and deployment of a client-facing web application.

AI Agent Architecture: Assistant

A production-grade AI pipeline driving the assistant on this very page. Demonstrates RAG, vector DB querying, and streaming responses.

[1] User Input -> FastAPI Endpoint
[2] Semantic Search -> Pinecone Index
[3] Context Injection -> LiteLLM Orchestrator
[4] Streaming SSE -> Frontend UI
Explore the AI Boardroom

Media Integration: Professors of Pop

Exploring audio synthesis and storytelling. Seamless iframe embedding of 3rd-party media APIs.

Beyond The Code

🥍

Athletic Discipline

Competitive lacrosse player bringing the same intensity, focus, and team-oriented collaboration from the field to software architecture.

🤝

Philanthropy

Actively involved in local charities and community outreach, believing that technology should ultimately serve and uplift the human experience.

🎧

Professors of Pop

Exploring audio synthesis, production, and sonic storytelling. Listen on Spotify.

1
🤖 AI Context & Intent

This page standardizes the Human-AI interface for the PersonalOS ecosystem.

🛠️ Under the Hood: PersonalOS

Architecture
Monolith FastAPI + Jinja2 Templates. Served via Uvicorn.
Infrastructure
Hosted on Heroku/Render. PostgreSQL Database.
Gemini Live Audio
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