Software EngineerBackend · Distributed Systems · Cloud

Mohamed

Aklamaash

I work on backends and the infrastructure under them — services, queues, and the cloud they run on. I care most about the parts that don't show up in a demo: code that stays readable, systems that fail predictably, and changes that ship without surprises. Right now I'm engineering AI-security infrastructure at Unbound Security (YC S24), and pursuing an integrated M.Sc. in Data Science at PSG College of Technology (expected 2027).

Open to backend / infra / SRE roles
About
Mohamed Aklamaash
I like the part of engineering where something is misbehaving and nobody knows why yet. A race condition under load, a service that falls over at 3am, a query that quietly got slow. I stay with a problem until I actually understand it, not just until the symptom goes away.
Most of what I build is backend and the infrastructure under it: services, queues, and the cloud they run on. I try to stay consistent about the parts that don't show up in a demo — clear names, small reviewable changes, and systems you can still reason about when something breaks. I'd rather ship something steady that holds than something clever that surprises me later.
I play chess, which taught me patience and that a careful, thought-out move usually beats a fast, hopeful one. I try to bring the same discipline to engineering: understand the board first, then commit.
Selected Work

Featured
Projects

Launchpad
Deploy · AWS

Launchpad

Self-hosted deployment platform that turns a GitHub repo into a running ECS service in your own AWS account—no shared infra, no vendor lock-in.

AWSTerraformRabbitMQDjango+6
relay

relay

A distributed job scheduler for Go, backed by Redis — at-least-once delivery, crash recovery via visibility-timeout leases, cron scheduling, weighted priority queues, and retries with a dead-letter archive.

GoRedisDistributed SystemsPrometheus+1
codegraph
Code Graph

AST + call-tracing + embeddings · semantic search across 8 languages

codegraph

Turns any GitHub repository into an interactive code knowledge graph — parses source, traces function calls, builds embeddings, and answers natural-language questions about the architecture.

PythonFastAPIEmbeddingsLLMs+2
Contact

Let's build
something.

My inbox is always open—for roles, collaborations, or just an interesting problem worth talking through. If something here caught your eye, say hi.

© 2026 Mohamed AklamaashSource on GitHub