Samuel · NJIT
Applied AI Engineer · CS Student · Builder
Samuel Olagoke
Building AI-powered products that solve real problems. Computer Science student at NJIT, focused on intelligent systems and workflow automation.
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Building AI-powered products that solve real problems. Computer Science student at NJIT, focused on intelligent systems and workflow automation.
I build AI systems and software tools that do something people actually need — not demos, not experiments that live in a notebook.
Studying Computer Science at NJIT, I've spent my time learning how to close the gap between theory and working product. I care about the intersection of AI capability and product utility — tools that genuinely change how someone works, thinks, or moves through a problem.
Beyond the technical, I've served in leadership roles that required coordinating teams, managing projects under pressure, and communicating across different levels of an organization. That combination — technical depth paired with execution and communication — is what I bring to every role.
I'm looking to work on teams where AI is a serious craft, not a feature checkbox.
An AI-driven stock simulator that teaches users how to trade. Walks new traders through market behavior, position sizing, and decision-making — all in a risk-free simulated environment. The goal: turn confused beginners into informed participants before they touch real capital.
An AI workflow tool that ingests meeting minutes and CSV files and turns them into structured, reviewable tasks for managers to oversee. Three surfaces only: add source files, inspect the approved workflow, and read the final output in plain language. Built so the automation is transparent — managers see exactly what the AI did before signing off.
If you're hiring for AI engineering, applied ML, or product engineering roles — I'd like to talk. Early-career, capable, focused on doing serious work.