Backend Development: Strong knowledge in Python: Django, DRF (Django Rest Framework), Dash Framework, Boto3, FastAPI, Pandas, Numpy, Plotly, Matplotlib, Scikit Learn, Faerun, Scipy, Pickle, Flask Practical experience in R programming language and libraries RDkit, tmap, Shiny App Follows PEP8 using black, flake8 and isort libraries Good knowledge in ORM: Django ORM Hand-on experience in using build and packaging tools: Gulp, SBT, Docker, Docker Compose, Kubernetes Work experience in data analysis platforms such as Palantir Foundry Authentication/Authorization protocols: Oauth2, JWT Practical experience in using message brokers: Celery, Redis Frontend development: Strong work experience with JavaScript, React, JSX, HTML, CSS Databases: SQL: PostgreSQL, Oracle DB, MySQL NoSQL: MongoDB Theoretical knowledge of Apache Airflow DevOps: Cloud Providers: AWS Web Services (ECR, S3 Bucket, RDS for PostgreSQL and ect.), GoogleCloud, Digital Ocean CI/CD: Github actions, GitLab Ansible Bash scripts and Terminal Testing (Auto, Unit): Vast experience in creating Autotests and Unit tests with PyTest (advanced packages like Mock, patch, and factory-boy) and Docker

Create multiple web applications for scientists to process biological data to update the later database with different information. The previous website was built on Flask and Oracle DB, but after the client’s request, the framework was changed to Django and the database to PostgreSQL.

Fullstack development Debugging & Troubleshooting Writing unit tests Performance optimization Deployment

Python, Django, Django REST Frameworks, Flask, HTML/CSS/JavaScript, React.js, Docker, Docker compose, AWS, Oracle DB, PostgreSQL, PyTest, Celery, Redis