
Massoud Maboudi
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Massoud Maboudi
- Enhanced Salesforce to Azure integration via Java-based Azure lambda functions, improving connectivity with Stripe and SAP. - Facilitated swift creation of Accounts, Orders, and Invoices in SAP and Stripe. - Contributed to EGYM's infrastructure with updated Java/Spring services, React, Angular UIs, and an Azure logic app. - Played a pivotal role in refining and deploying the Warehouse Management System. - Utilized Java/Spring, Kubernetes/Docker, and React for development, testing, and bug fixes.
• Revamping and developing a new booking system for agents booking flights with a better customer journey and improved response time utilizing Go programming language, PostgreSQL and Google Cloud Platform.
- 3 Jahre und 7 Monate, Mai 2019 - Nov. 2022
Full Stack Developer
ReGov Technologies Sdn Bhd
• Built the backend for an ERP system targeted at fund management companies. Leveraging Node.js, TypeScript, and Python with the integration of tools like GraphQL, AWS AppSync, and Amazon Cognito, piping data to Databases like MySQL and Amazon DynamoDB. • Drove and delivered an e-KYC solution localized for Malaysian IDs with increased accuracy of over 74% and cost reduction of up to 8x compared to similar products using Python and OpenCV.
- 3 Monate, März 2019 - Mai 2019
Data Science
ReGov Technologies
• Participated in building a conversational A.I. prototype for an international bank in less than four weeks.
- 5 Monate, Okt. 2018 - Feb. 2019
Data Analyst
iflix
• Onboarded new data sources from Redshift, Firehose and external APIs using Python/Spark applications or performing Sqoop imports into Hive tables built on top of S3 buckets.
Ausbildung von Massoud Maboudi
- 2 Jahre und 8 Monate, Feb. 2018 - Sep. 2020
Data Science
University of Malaya
Thesis: Traffic Sign Detection Using a Deep Learning Approach
- 4 Jahre und 7 Monate, Sep. 2011 - März 2016
Computer Engineering
University of Tabriz
Thesis: Introducing and Analyzing the Recommender Systems Using Collaborative Filtering
Sprachen
Englisch
Fließend
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