Talaeshow is a platform for trading gold, akin to Bullion Vault. In thisrole, I’ve assisted both the CEO and the technical team in leadingdevelopment services.• Played a pivotal role in the hiring process for the technical team,ensuring the recruitment of skilled professionals to meet thecompany’s technological needs and objectives.Engaged in a dynamic tech environment, utilizing a stack thatincludes Python, Django, PostgreSQL, Kubernetes, Redis, React, andKotlin to meet and exceed project milestones and deliverables.

It is a social network that operates based on the location of the user.AR/VR will be available as soon as possible (Metaverse). We use amicroservice architecture to implement. Python, FastAPI, Django,Postgis Database, AWS, Docker, and Gitlab CI were all used.

Snapp! is a ride-hailing application. Our team developed a map service for both passengers and drivers. We built a Log Data Infrastructure to process API logs. I used Python and Java to process API logs in order to export metrics and useful output. Pandas, Scikit-Learn, Apache Flink, Apache Kafka, Apache Hive, Clickhouse, Elasticsearch, and Openshift were all used (Kubernetes).

That was an E-Commerce startup for real estate consultants who connect customers with buyers or renters. I worked as a Backend Engineer and Tech Lead (both of them). Three developers led the technical team. Two developers are Frontend Engineers, and one is an Android Engineer. I created a database model. Postgresql was the database. For the backend and Rest API, I used Python, Django, Redis Cache, and Rest API. Dockerization was used for all of the services. Gitlab CI/CD was used for easier deployment and running tests to ensure that services are stable and error-free.

That was a startup that specialised in live streaming events. It included the sale of event tickets, as well as reports and statistical data about the event.For the backend, I used Python, Django, Postgresql, and Redis Cache, and for media streaming, I used Nginx RTMP Module. For playing events, I used the HLS format.For the implementation of online chat  Node.js, Socket.io package, and the WebSocket protocol were used.For front-end development, I used Vue.js and Nuxt.js. It includes an end-user website and a dashboard for the event's organiser.

Developed a media intelligent platform, like Brandwatch. that gathersprocesses and stores millions of content per day from different socialmedia and serves them as an integrated dashboard for the clients tobe able to do advanced searches on big data, have meaningfulcustomized analysis and charts on trends and receive alarms on theirqueries. pipelines and some services implemented by Python, Flask.used Apache Kafka as a message broker and Elasticsearch forfull-text search and analytical queries. logs aggregated on ELK to getexact insights and stats of all micro-services. used Kibana as a unifiedmonitoring panel to visualize log data, get different insights andreports from the system, debug and have a real-time reaction topossible errors.