available for new work

 

Automation Engineer at ZenHR · Data Science & AI
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01 / about

AI, automation & full-stack, built into real products.

Read the full story →
01 / about

AI, automation & full-stack, built into real products.

Read the full story →
evolve · panel moderator
mousa · france 2024
datathon · 2024
evolve · amman
hackathon · tech3arabi
sumo contest · 2024
Embassy of Ireland
teaching · 2024
ireland embassy
02 /

3 pillars · 16 tools
ai engineering

RAG applications, agents, computer vision, NLP, and machine learning systems designed for real-world use.

$stack ai --status
rag · agents · computer vision · nlp · finetune · ml · python
→ from experimentation to deployment
automation engineering

Building automated tests and workflows that improve reliability, reduce repetitive work, and help teams move faster.

$stack auto --watch
cypress · typescript · workflows · integrations
→ quality at scale · less manual effort
full-stack development

Modern web applications built end-to-end with a focus on performance, usability, and maintainability.

$stack stack --serve
next.js · react · typescript · postgres
→ from database to user interface
pypython
tstypescript
▲next.js
⚛react
pdpandas
⬢node
pgpostgres
rbruby
rorrails
cvopencv
ststreamlit
jyjupyter
skscikit-learn
⌘fastapi
🐳docker
npnumpy
ptpytorch
awsaws
pypython
tstypescript
▲next.js
⚛react
pdpandas
⬢node
pgpostgres
rbruby
rorrails
cvopencv
ststreamlit
jyjupyter
skscikit-learn
⌘fastapi
🐳docker
npnumpy
ptpytorch
awsaws
awsaws
ptpytorch
npnumpy
🐳docker
⌘fastapi
skscikit-learn
jyjupyter
ststreamlit
cvopencv
rorrails
rbruby
pgpostgres
⬢node
pdpandas
⚛react
▲next.js
tstypescript
pypython
awsaws
ptpytorch
npnumpy
🐳docker
⌘fastapi
skscikit-learn
jyjupyter
ststreamlit
cvopencv
rorrails
rbruby
pgpostgres
⬢node
pdpandas
⚛react
▲next.js
tstypescript
pypython
03 /

3 featured · 10 total
AI · 2026 · evaluated with RAGAS

TraceDoc

A RAG-powered document assistant that answers questions about your PDFs and traces every answer back to its source, highlighting the exact passage it came from in the original document. Built with two-stage retrieval (semantic search plus cross-encoder reranking) and evaluated for faithfulness and retrieval quality with RAGAS.

View project
04 / get in touch


I'm taking on a small number of new projects in 2026: automation, AI, or anything in between.

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