Chris Robertson's Online Resume

Mountain Lakes, NJ | New York, NY

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

Core Proficiencies

> Agentic Systems

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

> SOTA Models & Intelligence

GPT-5.5 / OpenAI Stack DeepSeek V4 Pro Llama 4 Long-term Memory (RAG) System Prompt Engineering Computer Vision / NLP

Professional Experience

Athena Intelligence β€” Forward Deployed Engineer

Oct 2024 - Present
  • Helping Fortune 500 companies adopt Agentic AI solutions to transform legacy operations.
  • Designing robust multi-agent orchestration procedures and developing advanced browser automation workflows.

Scale AI (Outlier) β€” Data Scientist

Apr 2024 - Present
  • Training and fine-tuning Large Language Models specifically for Data Analytics and Data Science domains.
  • Engineering complex system prompts to enforce strict reasoning constraints, multi-step planning, and improve AI response quality.

Perrigo β€” Finance Technology Consultant

Nov 2024 - Jun 2025
  • Engineered an autonomous SAP/Python pipeline to process invoice postings and resolve unit of measure discrepancies without human intervention.

Datavations β€” Sr. Insights Analyst

Oct 2023 - Apr 2024
  • Applied machine learning algorithms and LLMs to generate actionable data insights and automated reporting for enterprise clients.

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.

Beyond The Code

πŸ₯

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 to my tracks on Spotify.

Listen on Spotify
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πŸ€– AI Context & Intent

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

πŸ› οΈ Under the Hood: PersonalOS

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