~/about/

about

Ismaeel working on a laptop in a library lounge

Hey! I'm Ismaeel Akram, a Computer Engineering student at New York University and a software engineer.

Most of my shipped work has been in backend platforms, financial workflows, cloud infrastructure, and systems that still have to behave correctly when the happy path ends. Outside work, I build Linux drivers and lower-level C and C++ projects and spend more time thinking about profiling, synchronization, data layout, and numerical behavior.

I'm building the evidence to move further into low-level performance and quantitative engineering. This site is the record of both halves: the production work I've shipped and the lower-level direction I'm earning through projects and study.

Education

New York University

Bachelor of Science in Computer Engineering · Mathematics minor

Aug 2024 – May 2028

Coursework includes computer architecture, algorithms, linear algebra, probability and statistics, and circuits. I use projects to connect those foundations to real software behavior.

Technical Skills

Systems & Performance

C++, C, Python, Linux, libFUSE, POSIX interfaces, perf, flame graphs

Production Backends

Python, Go, SQL, REST, GraphQL, billing and ledger workflows, integrations

Cloud & Platform

AWS, Google Cloud, event-driven services, Docker, Terraform, Kubernetes

Data & Quantitative Foundations

Algorithms, linear algebra, probability and statistics, profiling, measurement

Web & Commerce

Next.js, React, TypeScript, Shopify, Liquid, responsive product interfaces

Developer Tools

GitHub Actions, scripting, agent tooling, Obsidian, reproducible workflows

What I Do

Production Ownership

I like work where correctness is visible: financial records reconcile, integrations recover, operators can understand failures, and performance is measured instead of assumed.

Closer to the Machine

My current project work centers on filesystems, C and C++, data movement, profiling, and the mathematical foundations behind performance-sensitive software.

Selected Evidence

Production systems where correctness and latency matter

Storage operations, financial workflows, marketplace infrastructure, and external integrations

iCloud Linux

An open-source Linux/libFUSE filesystem with persistent caching, background hydration, synchronization, and real community use

Computer Engineering and Mathematics

Coursework in architecture, algorithms, linear algebra, probability and statistics, and circuits

First place, IBM GenAI Hackathon

Built a student-query language model prototype as a team project

How I Work

I like technical writing that starts with a real failure or decision, then explains what changed. The same applies to code: I care more about measured behavior and explicit tradeoffs than impressive labels.

If you're working on systems, infrastructure, performance, or quantitative software and want someone who already knows how to own production work, reach out.