Iliana Toneva, Back-end Developer in Los Angeles, United States
Iliana Toneva

Back-end Developer in Los Angeles, United States

Member since May 18, 2022
Iliana is a customer-centric senior engineer with a deep interest in database design and data manipulation and experience in working in interdisciplinary teams. She has exceptional communication skills, and she earns the trust and confidence of the business community by taking a deep dive into domain specifics. Skilled in Django, Django REST framework (DRF), FastAPI, Python, and relational databases, Iliana easily pivots to new ideas and is adaptable to other approaches.
Iliana is now available for hire

Portfolio

  • Health Care Co
    Python 3, Django, Django ORM, Django REST Framework, Celery, Amazon SQS...
  • Modern Animal
    Python 3, Django, Django ORM, GraphQL, React, PostgreSQL
  • ConsumerTrack
    PHP, React, MySQL, Amazon DynamoDB

Experience

Location

Los Angeles, United States

Availability

Part-time

Preferred Environment

Slack, Visual Studio Code

The most amazing...

...projects I've been involved in required a professional focus on data model design and the design of web APIs.

Employment

  • Senior Software Developer

    2021 - PRESENT
    Health Care Co
    • Worked as a member of the patient care team, influenced technical initiatives across the engineering organization, and helped steer best practices. Always looking beyond the immediate problem to broader implications.
    • Led a project to transform unstructured data into structured data. Designed the new data model and created data migration scripts, unlocking the implementation of a plethora of new features that couldn't be implemented before.
    • Presented technology projects and decisions to senior stakeholders throughout the organization and proposed technical solutions to long-standing engineering issues.
    Technologies: Python 3, Django, Django ORM, Django REST Framework, Celery, Amazon SQS, Amazon S3 (AWS S3), FastAPI, PostgreSQL
  • Senior Software Developer

    2021 - 2021
    Modern Animal
    • Contributed to the essential features of an in-house process information management system the company was about to launch when I joined the organization.
    • Built CI/CD pipelines for automated deployment as part of my role.
    • Leveraged different search and discovery tools to create a user-friendly search and recommendation service.
    Technologies: Python 3, Django, Django ORM, GraphQL, React, PostgreSQL
  • Software Engineer

    2020 - 2021
    ConsumerTrack
    • Worked as a member of a Scrum development team, charged with developing the internal tools platform–an application for creating advertising campaigns and keeping track of their performance.
    • Implemented several features on the front end, improving the overall user experience.
    • Oversaw and spearheaded a project for adopting a new React UI component library, MUI, formerly Material-UI.
    Technologies: PHP, React, MySQL, Amazon DynamoDB
  • Web Developer

    2015 - 2020
    OpenEye Scientific Software
    • Transitioned to AWS Step Functions, a managed service, from using Simple Workflow Service to simplify the coordination of AWS resources and track the workflow state.
    • Contributed to features that include large-scale computations, data visualizations, data analysis, file handling, results sharing, and project organization.
    • Led the redesign of the platform’s SQL database model to improve scalability and performance.
    Technologies: Amazon SQS, Amazon CloudWatch, Amazon S3 (AWS S3), Celery, Python 3, Django, Django ORM, Django REST Framework

Experience

  • ETL Process and Data Model for Scientific Data

    Created a data transformation process that was much more scalable and higher performing than the previous one, which involved retrieving data from S3 in a binary format and unpacking it in the front-end code.

    Worked with scientists to understand many new chemistry concepts related to molecular data and its usage and then defined requirements for data visualization and data analysis.

    Finally, built the data model for data ingestion from the original binary file and stored it in a relational database management system (RDBMS) to improve access, using MySQL-based Amazon Aurora. The use of the new data model provided improved scalability and performance.

Skills

  • Languages

    Python 3, Python, C++, C, GraphQL, PHP
  • Frameworks

    Django, Django REST Framework
  • Libraries/APIs

    Django ORM, React
  • Storage

    Relational Databases, Databases, Amazon S3 (AWS S3), PostgreSQL, MySQL, Amazon DynamoDB, Amazon Aurora, RDBMS
  • Tools

    Celery, Amazon SQS, Slack, Amazon CloudWatch
  • Other

    FastAPI, Neural Networks, Deep Learning, Data Structures, Programming, Web Technologies, Calculus
  • Platforms

    Visual Studio Code

Education

  • Master's Degree in Information Systems
    2005 - 2006
    Sofia University, St. Kliment Ohridski - Sofia, Bulgaria
  • Bachelor's Degree in Computer Science
    2000 - 2005
    Technical University of Varna - Varna, Bulgaria

Certifications

  • Neural Networks and Deep Learning
    APRIL 2019 - PRESENT
    DeepLearning.AI | via Coursera
  • Introduction to Computer Science and Programming
    SEPTEMBER 2012 - PRESENT
    MITx | via edX

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