Pars Restaurant System
Full-stack restaurant management platform with real-time orders and an LSTM demand-forecasting model, deployed to production on Railway.
I design and ship resilient full-stack systems — from real-time restaurant platforms with LSTM forecasting to data pipelines and secure network configs. Currently finishing my IT degree.
I'm Amirsam Hadipour, a full-stack developer who likes the hard, unglamorous parts of software — the data models, the edge cases, the things that have to keep working at 3 AM. I build backend-leaning web apps with Node.js, React and MongoDB, and I bring machine learning into them where it actually earns its place.
Recently I built a real-time restaurant platform with an LSTM demand-forecasting model, shipped and maintain the official site for the European University of Armenia, and chased down nasty cross-timezone scheduling bugs in a therapy-booking app. I care about clean APIs, honest tests, and shipping things people actually use.
I'm finishing my IT degree and always happy to talk about backends, ML, or a tricky bug.
Full-stack restaurant management platform with real-time orders and an LSTM demand-forecasting model, deployed to production on Railway.
Tracked down and fixed gnarly cross-timezone scheduling bugs in a therapy booking app using Moment.js — correct slots worldwide.
Python pipeline that ingests, cleans and transforms clinical CSV datasets into structured, analysis-ready output.
Designed and hardened a VLESS over TLS networking setup — low-latency, secure tunneling with proper certificate handling.
Developed and maintain the official site for a higher-education institution built in partnership with French & European universities. Multilingual (EN/FA) WordPress + Elementor build serving an international audience across Armenia, Iran and Europe.
Build and maintain europeanuniversity.am — a multilingual (EN/FA) WordPress + Elementor site for an international academic audience.
→ Ongoing client-facing role: design updates, plugin management, SEO + Google site verification.
Designed and shipped a real-time restaurant platform on Node/React/MongoDB with an LSTM demand-forecasting model.
→ Deployed to production on Railway and running live.
Fixed cross-timezone scheduling bugs in a therapy-booking app (Moment.js) and built a Python pipeline for clinical CSV data.
→ Correct booking slots worldwide; clean, analysis-ready datasets.
Finishing a degree in IT — foundations in systems, networking and software engineering.
→ Applied side-projects in networking (V2Ray/VLESS over TLS) and ML.