AI User Research Platform
Hikaru.ai
(Internet und Informationstechnologie, < 10 Mitarbeiter)
Schlagwörter
Skills
Amazon Web Services, Javascript, Typescript, Python, Rust, Go, C/C++, Java, SQL, HTML/CSS Frameworks & Libraries: Tensorflow, Node.js, React, React Native, Next.js, Protobuf, GraphQL, REST, gRPC Databases: SQL (PostgreSQL, MySQL), NoSQL (DynamoDB, MongoDB, Redis, Elasticsearch), Vector Databases (Pinecone) Dev Tools, Cloud & DevOps: , Terraform, Apache Kafka, Docker, AWS CDK/Amplify, Kubernetes, Git, Github, Concepts & Methodologies: Artificial Intelligence, Computer Vision, API Design, Unit, Integration & E2E Testing, Software Architecture, System Design, Games and Systems Programming
Projekthistorie
10/2023
-
02/2024
Developed an AI user research platform with automated and hybrid methods to gather qualitative and quantitative data through AI surveys, user interviews using AWS, Go, Typescript, Next.js, ChatGPT, tRPC and Websockets.
04/2021
-
10/2023
Mobile application and cloud infrastructure for charging electric vehicles
EWE Go
(Energie, Wasser und Umwelt, 1000-5000 Mitarbeiter)
Developed a hybrid mobile application using React Native , created cloud infrastructure with Amazon Web Services, implemented the backend in Node.js and Python, and integrated E-mobility networks (OCPI, OICP).
https://app.ewe-go.de/
https://app.ewe-go.de/
10/2020
-
04/2021
Cloud backend and mobile application for elite athletes and their coaches
360 Health & Performance
(Pharma und Medizintechnik, 10-50 Mitarbeiter)
Created a cloud backend using Node.js, established cloud infrastructure with AWS, and developed a hybrid mobile application in React Native.
01/2017
-
08/2018
MLOps solution for building, training and deploying ML models in the AWS cloud
trivago
(Sonstiges, 1000-5000 Mitarbeiter)
Designed and developed a bespoke MLOps solution for building, training, and deploying machine learning models both locally and in the cloud and leveraged transfer learning to build Convolutional Neural Networks (CNN) to classify trivago’s images of over 1.5 million hotels.
Developed large-scale systems and data pipelines using Amazon Web Services, Apache Kafka, RabbitMQ/MQTT, PostgreSQL, ELK Stack, Python, and Typescript.
Developed large-scale systems and data pipelines using Amazon Web Services, Apache Kafka, RabbitMQ/MQTT, PostgreSQL, ELK Stack, Python, and Typescript.
Zertifikate
AWS Certified Solutions Architect - Associate
Amazon Web Services
2019
Reisebereitschaft
Nur Remote verfügbar
Nur Remote, keine Reisebereitschaft
exali IT-Haftpflicht-Siegel (Sondertarif für Freelancermap-Mitglieder)
Das original exali IT-Haftpflicht-Siegel bestätigt dem Auftraggeber, dass die betreffende Person oder Firma eine aktuell gültige branchenspezifische Berufs- bzw. Betriebshaftpflichtversicherung abgeschlossen hat. Diese Versicherung wurde zum Sondertarif für Freelancermap-Mitglieder abgeschlossen.
Versicherungsbeginn:
28.04.2022
Versicherungsende:
01.05.2024
