5 years experienced Software Engineer specializing in backend and RESTful API development using Python 🐍, Django, FastAPI both in Amazon Web Services, and Google Cloud Services. Passionate about discovering data-driven insights and working as one team to solve business problems.

Mar 2023 to Present

• Worked on momox fashion France integration for order, invoice, return and refund services.
• Currently working on managing offers and orders for external fashion marketplaces using domain driven design (DDD).

May 2022 to Jan 2023

• Worked on implementing Auth0 SSO and user invite flow in ESG Portfolio Manager using Django.
• Refactored Distance Calculator module for geocoding locations and distance calculation using HERE API and Google Maps API for different transport means in FastAPI.
• Participated in imperial unit system implementation for different activities for Carbon Impact Manager app using Django REST framework.
• Improved logging, error handling, and monitoring functionality for emission calculation module. Created dashboards to measure latency, success rate, etc in Datadog.

Sep 2020 to Mar 2022

• Collaboratively developed monitoring service to maintain scheduled security analysis of code repositories using Python, and GitHub REST API.
• Worked on the reporting service that manages the workflow of security-related tickets through the use of project management tool.
• Refactored the automation of ticket escalation and notification service using service catalog.
• Developed REST APIs for improved visibility between JIRA and HackerOne reports using Flask.
• Contributed to internal client library used among S24 security products using Python.

Jul 2016 to Sep 2019

• Developed backend web applications and RESTful API endpoints using Python, and Django.
• Implemented micro-services for inter-service communication using AWS serverless architecture.
• Provided ongoing maintenance, support, and enhancements in existing systems and platforms.
• Worked closely with product owners, mobile devs, and QA to prioritize and analyze requirements.
• Participated in unit test writing, code reviews, and pair programming to improve code quality.

Software Engineer, Planetly, Jun 2022 to Aug 2022

Technologies Used: Python, Django, Django REST, PostgreSQL, Celery, Docker, Kubernetes, etc.

• A multi-tenant web application for venture capital firms to manage their portfolio companies and collect ESG reporting data.
• Worked on the questionnaire template creation process using different ESG frameworks.
• Implemented ESG data collection flow by sending questionnaires to portfolio companies.

Working Student - Engineering, Scout24, Jan 2021 to Mar 2022

Technologies Used: Python, AWS: CDK, API Gateway, Lambda, DynamoDB, SQS, etc.

• A serverless application that creates transparency and control by keeping track of security tickets using Jira and notifying the owner of the affected service.
• Integrated service catalog to automate the ticket escalation process by finding the right owner.
• Implemented functionality for ticket closing once they get resolved.

Software Engineer, Brain Station 23, Oct 2016 to Sep 2019

Technologies Used: Python, Django, Django REST, PostgreSQL, Firebase, AWS: EC2, RDS, Lambda, API Gateway, S3, SQS, SNS, etc.

• A multi-tenant web application that provides modern transport services for groups.
• Implemented functionalities for different types of trip planning and ongoing trip operations.
• Enabled cross-company trip sharing, and emergency crisis management system.

Masters Student, University of Potsdam, Apr 2021 to Sep 2021

Technologies Used: Python, Django, Django REST, PostgreSQL, Firebase, AWS: EC2, RDS, Lambda, API Gateway, S3, SQS, SNS, etc.

• A research project to investigate whether the discussions taking place on r/wallstreetbets can affect stock prices. Observed that Random Forest outperforms other conventional ML models in predicting the daily up-down movement and price of the stocks.
• Wrote Python script to fetch Reddit post and comments data using pushshift API. Performed data preprocessing, feature engineering, sequential feature selection.
• Implemented several ML models: Linear, Ridge, Lasso Regression, Decision Tree, Random Forest, Multilayer Perceptron, and SVM. Finally evaluated the models' performance.

• AWS Certified Developer - Associate
• AWS Certified Solutions Architect – Associate
• AWS Certified Cloud Practitioner
• Professional Scrum Master I

Oct 2019 - Dec 2022

• Courses: Data Analysis, Machine Learning, Advanced Problem Solving, etc.

Apr 2012 - Jun 2016

• Courses: OOP, Data Structures, Database Systems, Software Development, etc.