Martijn Meijer
Mentor
(8 reviews)
US$20.00
For every 15 mins
32
Sessions/Jobs
ABOUT ME
Bringing code to good use for over 10 years. Love making tech work from the pixels on the screen to the bytes in storage, with elegance.
Bringing code to good use for over 10 years. Love making tech work from the pixels on the screen to the bytes in storage, with elegance.
Hi! I've been building APIs, micro services and authorization stacks for 10 years now. Would love to bring my experience to good use for others!
Dutch, English
Amsterdam (+02:00)
Joined May 2019
EXPERTISE
10 years experience | 9 endorsements
5 years experience | 6 endorsements
5 years experience | 7 endorsements
REVIEWS FROM CLIENTS
(8 reviews)
Cheral Kennedy
August 2019
Martijn was a great help in finding a solution for one of my tricky django requests. He listened to what I wanted, heard what I was saying, and communicated really well with me, explaining the pros and cons of different ways of doing things, so I could make an informed decision on how to build my Django app. We have also agreed that he will do ongoing mentoring for me, so am extremely pleased :-)
Jim D
August 2019
Martijn is a top mentor!
Excellent communicator, problem solver, and all around great to work with. Thanks for all your help solving some complex python application code, Martijn!
EMPLOYMENTS
Squad lead
Bynder
2017-06-01-2018-12-01
Technical and people lead for a small team responsbile for the digital templating service.
Technical and people lead for a small team responsbile for the digital templating service.
Post
Lambda
Python 3
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Post
Lambda
Python 3
React
Sketch
AWS DynamoDB
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PROJECTS
Automated fraud detection
2019
System for organizing & training models and making predictions. Consisting of 3 components (REST API, Dataset service, Machine learn...
System for organizing & training models and making predictions. Consisting of 3 components (REST API, Dataset service, Machine learning service). Designed to the CQRS model where the REST API converts incoming HTTP requests into events. The main focus points were extensibility and data consistency; therefore, key strengths in data classifications (via the attrs library) and model abstractions (sqlalchemy and attrs). Machine learning component works with SKLearn pipelines (co- developed with TU Delft data scientists) and Pandas data sets.
PostgreSQL
Python 3
Microservices
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PostgreSQL
Python 3
Microservices
RESTful API
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Digital templating service
Bynder
2019
Web application designed and developed for reading design files (sketch, indesign), offering an in-browser editor of these files, ex...
Web application designed and developed for reading design files (sketch, indesign), offering an in-browser editor of these files, exporting to digital formats (JPG, PDF, GIF) and publishing to marketing channels (facebook, twitter, instagram). Interface runs via GraphQL to Python Lambda functions via AWS API Gateway and storage in DynamoDB. Among others, users were TUI, Capital One, Volvo and Amadeus.
Python 3
React
GraphQL
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Python 3
React
GraphQL
AWS DynamoDB
AWS Lambda
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