Ali Zare Khormizi

Searchia is a search as a service and the main goal of personalization in this project is to customize the user experience by personalizing search results. We have designed a high throughput, scalable streaming data pipeline that receives users' behaviors (events), enriches them, and constructs user profiles by aggregating events. The ranking team uses these user profiles to personalize search results for each user. This project was developed using a microservice architecture.

In the Ava Project of Zarebin, the main goal was to develop a music Search Engine that crawls music files, indexes them, and addresses users' queries. I have designed and implemented the online part of the project including the index structure, search algorithm, and the output API. The main tools used in this project are Elasticsearch and Redis (as cache). this project is mainly written in Java language using the Spring Boot framework.

The most important product of Parsijoo is a search engine focusing on Persian web pages. In the Java Search Engineer position, I was working on the search engine ranking algorithm, and I had some contributions to the ranking algorithm that increased the accuracy of outcomes.

During my education in bachelor’s degree, I had a chance to start working in a big company. This was very appealing to me because I was able to use what I was learning (e.g. databases, data structures, and multi-thread programming) in a real project.

I got a master's degree in software engineering from Yazd University. I chose the topic "Presenting a method for trend detection from queries" as my master's thesis. In the master dissertation, we tried to provide a way to solve the problem of query diversity to identify trends using a classification of similar queries.