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.

Built & deployed AI agents into secure Fortune 500 VPC environments

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Technical Skills

> Agentic Systems

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

Capabilities Matrix

> 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, architecting secure data pipelines that kept sensitive customer and operations 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) — AI Trainer & RLHF Specialist

Apr 2024 - Sep 2025

Contributed to post-training alignment (RLHF) for large language models, authoring and ranking high-quality code responses across complex math, Python, and SQL domains
Curated reasoning and instruction-tuning datasets; evaluated model capabilities in logical reasoning, code correctness, and data analysis

Perrigo — Finance Technology Consultant

Nov 2024 - Jun 2025

Automated invoice auditing and reconciliation for SAP using Python; integrated OCR (Tesseract) and layout parsing to dynamically detect and resolve unit-of-measure discrepancies
Built vision-based data pipelines that automated screenshot capture, PDF extraction, and text cleaning across three ERP networks, reducing a multi-day manual reporting process to minutes

Datavations — Sr. Insights Analyst

Oct 2023 - Apr 2024

Built dashboards and insights reports presented to executive audiences; identified trends for cross-functional teams
Leveraged NLP to clean attribute metadata and reduce dimensionality

Vanmoof — Solutions Architect

Nov 2021 - Oct 2023

Streamlined US fleet operations and support infrastructure by leveraging ERP (Odoo) integration and customer support software to track parts and service lifecycles
Supported the US General Manager on strategic business initiatives; analyzed battery telemetry and customer support ticket logs to diagnose fleet battery failures and resolve supply chain bottlenecks

CL<SS — Founder & CEO

Mar 2021 - Oct 2023

Founded a social media company; designed and built a content-filtering recommendation engine utilizing NLP and semantic ranking models to personalize user feeds
Built automated pipelines for ingestion, classification, and presentation of multi-source media; integrated third-party APIs for real-time engagement telemetry

M Science (Jefferies) — Data Scientist / Investment Research Associate

Jun 2019 - Mar 2021

Engineered automated web-scraping pipelines and data extraction engines using NLP/regex to parse credit card data and email receipts, structuring unstructured transaction feeds
Built predictive revenue models in Python and R for public consumer companies; analyzed geographic retention, menu mix, and weather metrics to drive investment research

PTC — Corporate Development & Strategy Analyst

Jul 2016 - Jul 2018

Conducted quantitative market sizing and M&A financial modeling to identify and evaluate acquisition targets in the Augmented Reality and 3D printing sectors
Developed pricing and licensing models for enterprise Internet of Things (IoT) and AR software products to maximize US market penetration

Education & Projects

MIT Professional Education

Jun 2023

Applied Data Science Certificate (Machine learning, deep learning, recommendation engines)

Boston College

May 2016

B.S. Mathematics, Economics Minor

🚀 PersonalOS & RAG Assistant

Production System

Multi-agent task orchestrator with real-time vector search & streaming chat. Built with FastAPI + Pinecone.

💼 Full-Stack Build: Harrington Rice

Live Build

Client website deployed with automated lead workflows and optimized asset pipeline.

🛡️ Secure VPC Deployments

Case Study

Architecture case study of deploying enterprise-grade multi-agent platforms into private cloud VPC environments.

Interests & Community

🥍

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.

Listen on Spotify Art Portfolio