aka Julián Benegas Lane
Ambitious but focused, constantly chasing a new challenge to broaden my horizons.
I'm a lover of sophisticated solutions, always keeping the structure and order of the projects as my priority. On my free time, I let my creativity loose - working together with my coding skills for fun projects.
I'm a backend developer with 3+ years of experience working both individually and being part of small teams, from Django websites to Machine Learning APIs, from portfolios for individuals to tools for businesses.
Python: API and website development (Django, Django-REST, Flask)
API development on frameworks such as Flask and Django-REST that handle messaging, long-running tasks; Involving libraries such as Celery, Redis, and database management (both SQL and non-SQL); through PostgreSQL, MySQL, MongoDB
Website design and implementation on Django, using front end libraries like Bootstrap, with responsive capabilities and dynamic content; involving Jinja and jQuery
Data analysis and processing, involving machine learning to train sequential models, using Jupyter and Tensorflow Keras
C#: API development
Development of REST APIs, and non relational database management using .NET Core.
Organizational: Agile methodologies through project management tools
Sprint planning, estimation, user story driven development. Tools such as Jira, ZenHub and Reetro
Communication and Teamwork
Motivated by feedback, always looking to share my knowledge
Fluent English: C1 First - Score 187
.Net/Python developer - Juan Toselli International Tours
December 2020 - present
Design and development of Python web services, involving data processing and machine learning through the usage of sequential models. Development and maintenance of .Net Core projects, involving REST clients. Adoption of agile methodologies, and usage of tools such as Jira, ZenHub and Reetro. Training and counseling of two junior C# and Python developers.
Python web developer - Freelance
Late 2018 - November 2020
Programming and deployment of web applications, using frameworks such as Django and Flask, involving geospatial data libraries, object and relational databases, and message queues through Celery, RabbitMQ and PostgreSQL.