الشرارة
a true story in ink, by Abdulaziz Houtari, held still
Crash Bandicoot on my PSP. Outside, Kuwait is melting. I’m six.
Then RuneScape on the family computer. My feet don’t reach the floor.
I never once wonder who built it.
My big brother is making a game in Unity 3, for uni.
Wait. Someone builds these?
I beg him to teach me.
I bother him a lot. Like, a lot.
Finally he caves and shows me GameMaker.
He has no idea what he just installed.
YouTube tutorials I don’t understand. Random games anyway.
In Unity, I paste code I can’t read. It works.
Then one day…
it clicks.
Variables. Functions. How one script talks to another.
and Wix sites, embedding HTML I still don’t understand
Then I stop pasting. HTML, CSS, JavaScript, by hand.
Top of my class. My grades say doctor. So do my parents.
Creighton University: biology, dentistry, and snow. I’m from a desert.
All A’s. Mostly. We don’t talk about the rest.
Everything is right. Nothing clicks.
deep down, I still want to build things
So, quietly, I apply to computer science at UM-Dearborn.
I get in. Nobody knows.
I call home with big news. They laugh. They already knew.
They back me. This time, I fold the plane myself.
Snow again. It doesn’t feel like school. It feels like home.
Apps. Websites. More languages. Proper software engineering.
Then COVID. Michigan moves into my laptop, and I fly home.
My old desk. Class is in Michigan. I’m not.
Slowly. React, then Tailwind, then Express and raw SQL.
ORMs. Logins. Roles. TypeScript, for my own good.
My first full-stack app finds restaurants and inns.
a React Native app, an Express API with GraphQL and TypeORM, and a Next.js dashboard
It clicks again, the size of a building.
It outgrows one building. I split it: Git, Django, FastAPI.
My cousin and I start a pharmacy delivery app.
Scan the box. Look up the NDC. Check the Rx. Count the shelf.
It never ships. But it’s where I learn to build with someone.
Our capstone ships to the App Store.
Honorable Mention. I’m the one in red.
Six Dean’s Lists on the board. High Distinction.
Senior year: a grad course in Deep Learning. And ChatGPT.
The cursor types back. I fall in love even more.
Michigan State, for my master’s. Third cold city.
six research projects. Those pages are the real reports.
Harmful prompts. Hidden backdoors. Brain tumors. Biased news. Delivery routes. Ants.
IntelliAntSearch: machine learning that tunes ant-colony search. Yes, ants.
I graduate with a 3.95. That one, we talk about.
Home. The heat hugs me like family.
I start Akasi. Queues, workers, and how one service talks to another.
shared workers: nobody’s capped at two or three generations
For the Ministry of Health, I build AI that reads chest X-rays.
I never became a doctor. But I get to help them see.
Then agentic coding. I don’t need to write code anymore (haha).
At Novagates, I inherit a platform. Cracked. Smoking.
Crack by crack, I mend most of it, and take it live.
kintsugi: mending broken pottery with lacquer, so the repair shows. No pretending it never broke.
As Technical Director, I build a team, then lead three, all remote.
Next, the control plane. One keep, many products.
keys for roles, seats and entitlements, and a scroll for every privileged action
One login opens every gate. One logout closes them all.
Hermes, Claude Code and Codex review all five repos.
AI agents now run parts of the engineering: about $750 a month saved
One sealed build: preview, staging, production. Never rebuilt.
I plan with the founders and the board. My feet reach the floor now.
Now I stand where my brother stood. Nobody has to beg.
I teach teachers how AI works, and how it fails.
Ministry of Education teachers, through Bambr and Google for Education
and in September, five days of Google Workspace with KFAS and SACGC
Somewhere in their classrooms, a small boy stares at a glowing screen.
He turns around to ask who built it.
Same kid. Other side of the screen.
Who built it? Hi. I’m Abdulaziz.
Kuwait City · Software Engineer & Technical Director
I build products.
Software engineer with an M.S. from Michigan State and a founder’s job description: I architect platforms end to end, turn inherited codebases into production systems, and train everyone from engineers to educators along the way.
I’m the engineer teams hand things to when they need them shipped. At Novagates I inherited a struggling platform from a previous team, led the disaster recovery (about 80% of the critical issues resolved), rebuilt the engineering team from scratch, set up the GitHub organization and deployment pipelines, and took the product to live production. As Technical Director I then architected its multi-tenant control plane (identity, SSO, MFA, RBAC and entitlements across every product), put AI agents to work reviewing and shipping code across five repositories, and now lead three distributed teams, working directly with the founders, board members, and senior engineers on where the platform goes next.
I also run Akasi, the startup I founded: an AI assistant that turns basic product photos into brand-consistent marketing visuals for small businesses. Every layer of it is mine, from the GCP infrastructure and Django backend to the Next.js frontend and the prompt engineering behind the image generation.
The third thread is teaching: through the Google AI initiative with Kuwait’s Ministry of Education, I train supervisors and teachers to use AI well, its limits and failure modes included, and in September 2026 I presented a five-day Google Workspace workshop alongside KFAS and SACGC. Before all this came an M.S. in Computer Science at Michigan State (GPA 3.95) with research in ML security, and a B.S. with High Distinction (Dean’s List, six semesters) from the University of Michigan-Dearborn.
Kuwait City · open to collaboration
remote teams led at Novagates
of inherited critical issues resolved
graduate research projects
M.S. GPA at Michigan State
Founder, technical director, and engineer. Usually all three in the same week.
Jun 2025 to Present · Remote
Mar 2026 to Present · Kuwait City · Part-time, Hybrid
Novagates
Apr 2026 to Present · Kuwait City · Full-time, Hybrid
Bambr
Sep 2025 to Apr 2026 · Kuwait
MTS · Ministry of Health
2024 to 2025
Michigan State University · East Lansing, MI
GPA 3.95 · Focus on machine learning, ML security, and distributed systems.
2019 to 2023
University of Michigan-Dearborn · Dearborn, MI
High Distinction · Dean’s List, six semesters · GPA 3.84 · Honorable Mention, Senior Design Day 2023.
Systems I designed, built, and shipped, from a live AI product to an award-winning client platform.
A live product that turns a basic product photo into polished, on-brand marketing visuals. Built, deployed, and marketed end to end as a solo founder: micro-monolithic backend, GCP infrastructure with a secured CDN, tiered background tasks, multi-vendor payments, and prompt-engineered image generation.
Interactive brain-tumor segmentation
A medical-imaging platform that detects and segments brain tumors from MRI scans using U-Net and DeepLabV3 trained on BraTS 2020, with DCGAN-based augmentation and CLIP-enhanced variants. An interactive Next.js + FastAPI viewer renders segmented tumors in 3D in real time.
Full-stack app shipped to the App Store
A production application built for a real client: requirements gathering, system analysis, a Django + NGINX backend, and a React Native app I led through App Store deployment. Recognized with an Honorable Mention at UM-Dearborn’s Senior Design Day competition.
Honorable Mention · Senior Design Day 2023
Good engineering deserves good explanation. I design and deliver AI training for ministries, institutes, and professional audiences.
Bambr · 5-day workshop · Sep 2026
Five days on Google Workspace tools in Kuwait, presented with the Bambr team alongside KFAS and SACGC.
Bambr · Google for Education · Since 2026
Ongoing AI training delivery across Kuwait’s Ministry of Education: hands-on sessions that get supervisors, head teachers, and classroom teachers actually using Google AI products in their daily work. Grounded in responsible use, not hype.
KGIC · 3-hour workshop · Jan 2026
How and when to use modern AI at work: why models can be confidently wrong, concrete mitigation strategies, how these systems actually work under the hood (simplified for a non-technical audience), and prompt engineering fundamentals.
KGIC · 3-hour workshop · Oct 2025
A practical walkthrough of role-specific AI applications and how to fold them into daily workflows to boost productivity and creativity in professional environments.
Google Certified Educator, Level 1 & Level 2
Hands-on graduate research from my M.S. at Michigan State: ML security, applied deep learning, and optimization. Full write-ups available as PDFs.
Michigan State University · Apr 2025
A. Houtari, S. Shakir, L. Mo
98.77% accuracy · 91% recall (best single model)
A defensive layer for LLMs that flags harmful prompts without expensive retraining. An autoencoder trained only on harmful prompts treats benign text as out-of-distribution, and a weighted-vote ensemble over sentence-transformer embeddings adds robustness against adversarial examples.
Michigan State University · May 2025
A. Houtari, D. Mohanty
Implements BadNets on CIFAR-10 and the Hidden Trigger Backdoor Attack on TinyImageNet, then probes whether Neural Cleanse can reverse-engineer both. The supposedly stealthy attack still left detectable traces. The evaluation adds novel anomaly-detection metrics beyond the original protocol.
Michigan State University · Dec 2024
A. Houtari, D. Mohanty, A. Lochab, S. Shakir, S. Park
Brain-tumor classification and segmentation on BraTS 2020, using DCGANs for data augmentation and comparing U-Net, DeepLabV3, and CLIP-enhanced variants with Dice and IoU metrics. Paired with an interactive 3D visualization platform.
Michigan State University · Dec 2024
A. Houtari, A. Lochab, S. Shakir, S. Situ
Detects political bias in Western media using a CNN-GRU model with GloVe embeddings on the MBIC and NewB datasets, benchmarked against transformer baselines like BERT and GPT-4 across liberal, neutral, and conservative labels.
Michigan State University · Dec 2024
A. Houtari, S. Shakir
Tackles the NP-hard Vehicle Routing Problem with genetic algorithms, comparing single- and multi-objective fitness functions (including NSGA-II) and 2-opt local search under capacity constraints.
Michigan State University · May 2024
A. Houtari, D. Mohanty, K. Suzue
Extends ant-colony search algorithms for peer-to-peer networks with LSTMs that tune pheromone and TTL parameters in real time from historical data, improving search reliability and relevance over AntP2PR and DLAntP2P. Simulated in PeerSIM.
Also: re-implemented SSPCAB (CVPR 2022), self-supervised anomaly detection for computer vision, in both TensorFlow and PyTorch. View on GitHub
My capstone team earned an Honorable Mention at the Senior Design Day competition held by the College of Engineering and Computer Science at the University of Michigan-Dearborn. It stood out among many strong projects for creativity, technical execution, and real-world applicability.
Google Certified Educator, Level 1 & Level 2
07 · Contact
A product idea, a team that needs a technical lead, an AI training program: my inbox is open. I read everything and reply to anything interesting.