LOCATION: Dakar, Senegal (UTC+0 — full overlap with Europe, morning overlap with US East)
REMOTE: Sure. Distant solely, worldwide. No visa or relocation wanted; I work as a
contractor or by way of an EOR, whichever is less complicated for you.
WILLING TO RELOCATE: No
TECHNOLOGIES: Go (9y), JavaScript/TypeScript (10y), MongoDB, PostgreSQL,
WebSockets, Docker, LLM brokers, MCP, static evaluation (go/ssa)
RÉSUMÉ: https://www.linkedin.com/in/cheikh-seck-2b449b26b/
EMAIL: cheeikhseck@gmail.com
I’ve been writing Go since 2017 and transport backend techniques since 2014. Most of
it has been the unglamorous form: warehouse administration backends, parcel monitoring,
banking integrations, real-time dashboards over WebSockets, PDF and spreadsheet
era, Twilio/WhatsApp/Outlook integrations. Techniques that needed to keep up and
be right, not techniques that needed to demo properly.
For the final two years I’ve been constructing AI tooling in Go, as a result of that’s the place
the fascinating backend issues moved:
- godex — an AI coding agent in Go.
Terminal-first, tool-calling loop, context administration. - lite-agent — a browser side-panel assistant that operates on the web page you’re
already taking a look at, as a substitute of a separate chat window. - leakcheck — a taint analyser for Go constructed with Go . Walks
SSA, classifies guards into eight lessons, tracks taint by way of interprocedural
summaries. The sincere end result was that solely 3 of 14 guard-shaped features
truly minimize taint. - An EBNF-based validator for LLM device calls, constructed with Go.
Rejects malformed perform calls earlier than they execute as a substitute of retrying them. - A Go-native inference engine — matrix multiplication, SIMD paths on Go 1.27,
no CGO.
What I’m good at: studying unfamiliar codebases, making a service observable and
boring, and ending issues. I used to be a founder from 2014 to 2017, so I’m
comfy with ambiguity and with proudly owning an issue finish to finish quite than a
ticket.
What I’m searching for: a backend or platform crew the place Go is the default and
the place AI work is actual infrastructure quite than a demo. I’d quite be the particular person
who makes the inference path quicker or the agent loop extra dependable than the
one who writes prompts.
I write about Go frequently at hyperlink:cheikhhseck.medium.com/ — principally measured
teardowns of issues I constructed, together with the elements that broke.
Completely satisfied to do a paid trial job. E mail me.
