Naseem Sadki
Senior Software Engineering at deepeye - preventing blindness- Claim this Profile
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English Full professional proficiency
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Italiano Native or bilingual proficiency
Topline Score
Bio
Credentials
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SAS Certified Specialist: Base Programming Using SAS 9.4
SASNov, 2019- Nov, 2024
Experience
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deepeye - preventing blindness
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Germany
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Medical Equipment Manufacturing
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1 - 100 Employee
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Senior Software Engineering
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Jul 2023 - Present
• Implemented major backend functionalities such as User Management, User settings, Jobs Management and PDF reporting • Owning and improving CI/CD processes on Azure (Container Apps, Redis, CosmosDB, Terraform, Docker, Github Actions) • Implemented various unit tests, resulting in a 30% increase in test coverage (pytest) • Integrations with Major PACS manufacturers APIs (DICOM transfer and reporting delivery) • Set up advanced logging and tracing procedures (Opencensus on Azure) • Implemented major backend functionalities such as User Management, User settings, Jobs Management and PDF reporting • Owning and improving CI/CD processes on Azure (Container Apps, Redis, CosmosDB, Terraform, Docker, Github Actions) • Implemented various unit tests, resulting in a 30% increase in test coverage (pytest) • Integrations with Major PACS manufacturers APIs (DICOM transfer and reporting delivery) • Set up advanced logging and tracing procedures (Opencensus on Azure)
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Fave
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Online Audio and Video Media
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1 - 100 Employee
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Product Engineer
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Jan 2022 - Jun 2023
• Implemented all of the company’s data engineering processes, reducing by 80% data processing times • Designed automatic & ad hoc data analytics processes and presented results to stakeholders (C-level and product managers), increasing by 20% user retention • Implemented prototypes and PoCs such as API integrations (e.g. Youtube, Spotify, Twitter) • Implemented backend features for the product (including integration tests), scaling from a few dozen to thousands of users • Refactored various back-end implementations to support the app, such as refactoring the media (images & video) APIs. • Overhauled back-end and data engineering logging and performance monitoring Show less
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Founding Software Engineer
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Jul 2020 - Dec 2021
Even provided a SaaS platform to manage vending machines planograms and fulfillment schedules --------------------- • Participated in Astra Incubator: selected among 400+ applications and selected among the top 20 projects, winning over $20k in credits from various partners. • Managed to design & build a fully-fledged MVP (Backend and Frontend) • Handled the outsourced development of an App for the MVP (made in Flutter) Even provided a SaaS platform to manage vending machines planograms and fulfillment schedules --------------------- • Participated in Astra Incubator: selected among 400+ applications and selected among the top 20 projects, winning over $20k in credits from various partners. • Managed to design & build a fully-fledged MVP (Backend and Frontend) • Handled the outsourced development of an App for the MVP (made in Flutter)
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Various Companies
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United States
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700 & Above Employee
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Consultant
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Mar 2018 - Dec 2020
Various consultancy gigs in different fields at various companies & universities: • Capgemini (data engineering) • Jakala (business intelligence) • SAS (customer intelligence) • Coca-Cola HBC (data management & product management) • Università degli Studi di Milano (COVID-19 research) Various consultancy gigs in different fields at various companies & universities: • Capgemini (data engineering) • Jakala (business intelligence) • SAS (customer intelligence) • Coca-Cola HBC (data management & product management) • Università degli Studi di Milano (COVID-19 research)
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Università degli Studi di Milano-Bicocca
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Italy
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Research Services
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700 & Above Employee
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Undergraduate Researcher
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Mar 2018 - Sep 2018
Research at the Department of Computer Science • Reading and writing (LaTeX, make a bibliography etc.) a scientific paper • NLG (Natural language generation) with LSTM-based neural networks from RDF triples (with Keras and various scientific\preprocessing packages in Python) • Made the preprocessing (entity masking, entity enrichment etc.) and helped to implement some state of the art Deep Learning algorithms from read scientific papers Research at the Department of Computer Science • Reading and writing (LaTeX, make a bibliography etc.) a scientific paper • NLG (Natural language generation) with LSTM-based neural networks from RDF triples (with Keras and various scientific\preprocessing packages in Python) • Made the preprocessing (entity masking, entity enrichment etc.) and helped to implement some state of the art Deep Learning algorithms from read scientific papers
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Education
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Università degli Studi di Milano-Bicocca
Bachelor of Applied Science - BASc, Statistics & Information Management