Ivan Dimitrov

Here, I was one of the first developers hired and it has given me a unique perspective on the process of scaling. I started on a team of three which grew to 20 people in a period of two years.

My responsibilities included developing and maintaining a crucial part of the application responsible for running algorithms, finding ways to improve algorithm performance either using parallelization methods, and other obligations as a team lead. I also designed and implementing parts of the microservice including the restructuring of the back-end service and worked closely with subject matter experts in defining and implementing algorithms.

The main goal of this application was to connect with the Cisco system used for a large call center. I was a back-end developer on this project and I started the Django project from scratch.

Project Main Responsibilities:
• Established a connection with the MS SQL database which contained all data regarding the workload of the Cisco call center system.
• Transformed the data, which was fetched from the Cisco database and saved in the local database for further use.
• Created REST APIs for accessing the metrics data which would be consumed by the front-end applications.
• Deployed the application on an inhouse server.

Technologies: Django REST Framework, MS SQL, Red Hat, Celery

This application had two main goals, the first one was to integrate the data from the application which is used by sales agents (Quickbooks). The second goal was to utilize that data to measure and display metrics like commission, total sales, total amount sold. and more. Besides monitoring the outgoing orders a large part of the system was dedicated to tracking incoming orders and keeping track of the inventory.

I was the back-end engineer on this project and I built the Django application from scratch.

Project Main Responsibilities:
• Designed and implemented all the REST APIs based on the design prototype.
• Architected the data pipeline for retrieving the data from the Quickbooks application.
• Deployed the application on AWS services.

Technologies: Django REST Framework, Celery, AWS, PostgreSQL

This role focused on monitoring, analyzing, maintaining, and developing a system of web scrapers that load data from over 50 sources (web pages, APIs) with a throughput of 1-10 million entries per month. This role represents a deviation from my previous roles; however, I used skills from my previous experiences like Python and SQL.

I worked for this San Franciso-based startup focused on collecting and processing data about second-hand car auctions from multiple sources.

I was responsible for maintaining a few services which were written in Python and used the Scrapy framework for collecting data. One of my biggest challenges in this project was to connect an existing service with a new module that was developed by a data scientist.

In this role, I was responsible for developing a set of features for a CRM application.
Features I was working on include:
* Zappier integration
* Email campaigns
* Email sequencing
This role was full-stack so I worked on both the Backend and the Frontend part of the application

I was also a part of a team of reviewers for PyCon Balkan where I provided feedback and gave selected talks at the Python Conference for Eastern Europe.

I worked on a university project where it aimed to compare different machine learning models (N-nearest neighbors, K-means, Naive Bayes) performance in the prediction of an Erythemato-Squamous disease type.

I've also held a talk at a meetup organized by a company that I worked for. I spoke about core concepts in Python like the zen of Python and made comparisons with other languages. The main purpose of the talk was to showcase Python's pros and cons for a better understanding of why it is used in certain areas.