Zahit Egemen İm — full‑stack developer
I turn ideas into simple, fast products that last.
I've been writing software for about five years. I build SaaS products, online stores and admin panels with Laravel and Next.js, and lately AI and IoT projects too.
Projects
Marka Takip Sistemi
SaaS · 2026
A subscription platform that scans official trademark bulletins, catches applications that look or sound like registered marks, and alerts owners by SMS and email. Objections start with a single click.
- Next.js
- React
Smart Solar Irrigation
IoT · Solar irrigation · 2026
A control panel for a solar-powered field irrigation system, fed continuously by real devices in the field. It has a pressure safety interlock, irrigation schedules and live monitoring.
- Laravel
- Livewire
- Filament
- Docker
- Pest
No-Waste
Marketplace · AI · 2026In progress
A marketplace against food waste. Gemini estimates the category and market value from the seller's photo, and the listing price can't exceed 30% of that value.
- Laravel
- Filament
- Gemini API
- Pest
Esste Home Design
Brand website · 2026
A catalogue website for an Istanbul furniture brand, organised around product groups, collections and furniture sets.
- Laravel
Nebatat Baharat
E-commerce · 2025
An e-commerce site for herbs and spices, built from scratch: sales by the gram or litre, a custom admin panel, analytics and solid technical SEO.
- Laravel
- MySQL
- Tailwind CSS
- Alpine.js
What I do
Web apps & SaaS
Products with accounts, subscriptions and automation, built with Laravel or Next.js.
Company sites & e-commerce
Websites that load fast, show up in search and are easy to manage.
Admin panels
Orders, content and data, managed with Filament or a custom interface.
AI integration
Content generation, classification and smart features with LLM APIs.
IoT & live data
Dashboards that collect sensor data, show it and turn it into automation.
Data & machine learning
Data analysis, reporting and prediction models in Python.
Machine learning
Models I built on real datasets while learning machine learning.
- House price predictionDecision tree regression with exploratory data analysis and hyperparameter tuning via GridSearchCV. R² score of 98%.scikit-learn · GridSearchCV
- Disease risk classificationA model that classifies lung cancer risk from survey data: cleaning, correlation analysis and model comparison. 96% accuracy with logistic regression.scikit-learn · seaborn · LazyPredict
- github.com/zegemenimAll repositories
Notes
About
I work with PHP and Laravel on the backend and Next.js on the frontend. I take a project through every stage, from database design to deployment, so design, code and server stay in one pair of hands.
I believe a good interface should say little and do a lot. So my priorities stay the same: speed, clarity, and code that is still easy to maintain years later.
At the IEEE CIS student chapter I founded at university, we run events and workshops on AI, machine learning and data science.
Log
- wip:
Studying machine learningHEAD → main
- feat(ieee):
Founded the IEEE CIS İSTÜN student chapter, founding chair
- feat(rf):
Amateur radio licence, call sign TA1ZEI
- init(uni):
Computer Engineering at İSTÜN, full scholarship
- feat(uav):
İHA-1 hobby drone pilot licence (Turkish DGCA)
- init:
Initial commit: HTML, CSS and JavaScript
Contact
Have a project in mind?
A new website, an admin panel or a product from scratch. I work freelance, remotely, with clients anywhere in the world. Tell me a little about it and I'll get back to you.
@zegemenim