Arun K.

An existing AngularJS application with a Python backend hosted on AWS at Purolator is presently being upgraded to Angular13. The administration of user invoices created during the transfer of products through Canada Post is the subject of this project, which is for Canada Post. Users of the program may check the status of their bills, pay the invoice fee, set up autopay, and file a dispute if there are any errors in the invoices.

● Working as an application developer experienced with controllers, views and models in Django. ● Develop the existing application to enhance the features using the Django Framework and improve the performance using SOAP Web services. ● Created functions and assigned roles in AWS Lambda to run python scripts, and AWS Lambda using java to perform event driven processing. ● Used Nodejs to structure JavaScript code to build endpoints. ● Involved in the Analysis, Design and Development of the application. ● Implemented user interface guidelines and standards throughout the development and maintenance of the website using the HTML, CSS, JavaScript and jQuery. ● Managed, developed, and designed a dashboard control panel for customers and Administrators using Django, HTML, Bootstrap, and REST API calls using the JSON. ● Implemented the application using Python Spring IOC (Inversion of Control), Django Framework and handled the security using Python Spring Security. ● Write scripts using python modules and its libraries like Numpy, Scipy, Matplotlib, Beautiful Soap, Pandas to develop programs that improve processing of access requests. ● Responsible for handling the integration of database systems. ● Creating website interface by templates and views with Python 3.6 and Django views controller and template language. ● Built the machine learning model include: SVM, random forest, XGboost to score and identify the potential new business case with Python Scikit-learn ● Involved in provisioning and Automation servers on Public Cloud like AWS, AWS and Kubernetes.

Sr Python Engineer - III As a Senior Python Developer at Genentech Roche, I was part of the GRED Data Science and Statistical Computation team with a focus on developing methods and systems to support interactive analysis of genomic data. I played a key role in enabling Genentech science and discovery by building effective and efficient data analysis software systems and developing new cutting-edge visualizations for genomic data analysis that were disseminated as open-source software and publications in the scientific literature.

● Implemented user interface guidelines and standards throughout the development and maintenance of the website using the HTML, CSS, JavaScript and jQuery. ● Utilized Python libraries wxPython, NumPy, Twisted and Matplotlib. ● Used Python based GUI components for the front end functionality such as selection criteria. Administration of dedicated collocated RHEL 4 machine and configured complex Apache configuration files. ● Proficient in writing SQL Queries, Stored procedures, functions, Packages, tables, views, triggers using relational databases like PostgreSQL. ● Configured Cucumber Report Plugin and Performance Plugin to Jenkins to generate html test reports. ● Used IAM to create new accounts, roles and groups and polices and developed critical modules like generating amazon resource numbers and integration points with S3, Dynamo DB, RDS, Lambda and SQS Queue. ● Use of Docker and Kubernetes to manage micro services for development of continuous integration and continuous delivery. ● Used version control and added support for Amazon AWSS3 and RDS to host static/media files and the database into Amazon Cloud. ● Designed and maintained databases using Python and developed Python based API (Restful Web Service) using Flask, SQL Alchemy and PostgreSQL. ● Writing Python scripts with Cloud Formation templates to automate installation of Auto scaling, EC2, VPC, and other services. ● Familiar with JSON based REST Web Services and Amazon Web Services (AWS). ● Used Wire shark, live http headers, and Fiddler2 debugging proxy to debug the Flash object and help the developer create a functional component. The PHP page for displaying the data uses AJAX to sort and display the data. The page also outputs data to .csv for viewing in Microsoft Excel. ● Parsers written in Python for extracting useful data from the design database. ● Creating restful web services for Catalog and Pricing with Django MVT and MySQL.