Daniel Ige

Daniel is a Computer Science and Mathematics student at MIT, where he maintains a perfect 5.0/5.0 GPA while building an impressive track record across software engineering, AI infrastructure, quantitative systems, and applied machine learning — combining rigorous CS fundamentals with real-world engineering execution.

As a Software Engineering Intern at Block, he built an internal developer platform aimed at reducing data-infrastructure costs by more than $100,000, and won the company-wide intern hackathon with an AI-powered receipt/bill management system for Cash App — presenting directly to Jack Dorsey and Block's executive leadership. He previously interned at Microsoft on the Azure Space Data team, building infrastructure-as-code deployment systems in C#/.NET/Bicep.

At Nasdaq he was one of 11 interns selected from 400+ applicants for a specialized AI engineering program, building an automated event-analysis pipeline blending financial news with statistically significant stock movement. In the highly selective Jane Street fellowship he became proficient in OCaml within a week and built the top-performing trading bot in a simulated market — 1.5× the profits of the second-place team.

His strengths include Python, TypeScript, OCaml, FastAPI, PyTorch, Docker, Kubernetes, cloud infrastructure, quantitative modeling, computer vision, and LLM integrations. He's an outstanding mentor for students aiming at elite tech companies, quant trading firms, or top CS programs.