Data & AI Engineer

Ross Hochman

I build systems that turn messy data into usable intelligence.

My work brings together data science, AI workflows, and software engineering to solve practical research and operational problems.

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About

Practical systems work with analytical depth.

I work across the full system, from understanding source data to building workflows, APIs, and cloud-deployed applications. My background spans research automation, analytical modeling, and enterprise identity systems in healthcare and defense.

I enjoy the investigation behind the build. I test assumptions, compare model outputs, trace failures, and figure out which parts of a process need automation, analysis, or review.

Intelligent Systems

AI workflows built around defined tasks, focused context, model testing, and review, with OpenAI and Codex as my primary tools.

Data Science and Modeling

Python-based analysis, practical modeling, and decision-support work that turns questions into usable evidence.

Root-Cause Investigation

Messy issues traced through inputs, logs, lifecycle events, access patterns, and operational edge cases.

Data Quality and Validation

Checks that turn fragmented inputs into validated records people can trust, query, and reuse.

Selected Work

Research Intelligence Platform

A research intelligence system that brings financial documents and data feeds into one workflow. I built source processing, AI analysis, Python validation, APIs, and application views, and tested model outputs against the underlying evidence.

Financial research intelligence platform, Python, SQL, validation, structured records, APIs, applied intelligence workflows, Next.js

Enterprise Identity Automation

Identity lifecycle work across healthcare and DoD environments, replacing fragile manual processes with repeatable provisioning, account cleanup, and termination workflows.

SailPoint IIQ, Active Directory, Linux/Bash, SQL, Python, access provisioning

Predictive Modeling Capstone

Graduate data science capstone using Python, feature engineering, modeling workflows, and evaluation to study relationships between public conditions, economic indicators, and observed outcomes.

Python, scikit-learn, TensorFlow/Keras, feature engineering, model evaluation

Experience

PSDS Technology Group

Data & AI Engineer

Building practical data and applied intelligence systems that turn messy source material into validated records, repeatable workflows, APIs, and focused application views.

  • Built a research intelligence system for financial data that converts fragmented information into structured records for review, querying, and downstream workflows.
  • Designed Python validation, historical trend review, data mining, and application layers that make research outputs easier to trust and reuse.

Take2 / Deloitte / U.S. Air Force

SailPoint IIQ Consultant

Supported a DoD access modernization effort that moved manual application access processes into repeatable SailPoint IIQ workflows for Air Force systems.

  • Worked with application owners, Deloitte teams, Air Force stakeholders, and network teams to clarify requirements and resolve access constraints.
  • Built and tested application onboarding, access workflows, provisioning logic, and Python process automations.

NewYork-Presbyterian Hospital

Identity Management Engineer / Systems Analyst

Built and supported identity lifecycle workflows for student, employee, contractor, and termination processes inside a healthcare information security environment.

  • Automated account creation, account merges, access provisioning, and termination workflows across Linux, Active Directory, SQL, Python, and SailPoint IIQ.
  • Investigated duplicate identities, account conflicts, lifecycle edge cases, logs, access issues, seasonal patterns, and operational metrics.

IBM

Data / Systems Analyst

Built an early enterprise foundation in data analysis, requirements gathering, testing, reporting, SQL, Excel, Tableau, and large-organization delivery.

What I Build

Data Science and Modeling

Python, pandas, NumPy, scikit-learn, TensorFlow/Keras, feature engineering, model evaluation, trend analysis

Data Systems

SQL, data validation, structured records, API design, relational databases, repeatable workflows

Artificial Intelligence Systems

OpenAI, Codex, AI workflow design, model testing, context design, structured outputs, evidence review, research automation

Application Development

Next.js, shadcn/ui, TypeScript, FastAPI, Google Cloud, Cloud Run, cloud deployment, internal tools, authentication patterns

Enterprise Systems

SailPoint IIQ, Active Directory, Linux/Bash, ServiceNow, identity lifecycle workflows, regulated data processes