Freelance Solutions Architect
Self-employed
Schlagwörter
Amazon Web Services
Machine Learning
Data Analysis
Cloud Computing
Natural Language Processing
Datenverarbeitung
Daten-Pipeline
Agile Methodologie
Airflow
Architektur
Skills
Architecture
Expertise in system design, data pipelines, and cloud services including Amazon Web Services, serverless architecture, microservices, MLOps, DataOps, Docker, Kubernetes, and AirFlow.
Data Development
Proficiency in data technologies such as Pandas, DuckDB, dbt, Redshift, Snowflake, Spark, Kafka, AWS Glue, AWS LakeFormation, PostgreSQL, ElasticSearch, Redis, Neo4j, and Snowplow.
Full Stack Development
Skilled in Python, FastAPI, Natural Language Processing, scikit-learn, SpaCy, networkX, PyTorch, Hugging Face, transformers, MLFlow, argilla, langchain, llama-index, TypeScript, NextJS, and TailwindCSS.
Delivery
Experience with Agile, Scrum, Technical Project Management, Delivery Roadmaps, Design Thinking, Stakeholder Management, and Objectives and Key Results.
Machine Learning
Expertise in developing and implementing machine learning solutions, including NLP, deep learning, and recommendation systems.
Data Science
Proficiency in data analysis, big data technologies, and building data pipelines for large-scale data processing and analytics.
Cloud Technologies
Strong knowledge of cloud platforms, particularly AWS services for data processing, storage, and machine learning applications.
Expertise in system design, data pipelines, and cloud services including Amazon Web Services, serverless architecture, microservices, MLOps, DataOps, Docker, Kubernetes, and AirFlow.
Data Development
Proficiency in data technologies such as Pandas, DuckDB, dbt, Redshift, Snowflake, Spark, Kafka, AWS Glue, AWS LakeFormation, PostgreSQL, ElasticSearch, Redis, Neo4j, and Snowplow.
Full Stack Development
Skilled in Python, FastAPI, Natural Language Processing, scikit-learn, SpaCy, networkX, PyTorch, Hugging Face, transformers, MLFlow, argilla, langchain, llama-index, TypeScript, NextJS, and TailwindCSS.
Delivery
Experience with Agile, Scrum, Technical Project Management, Delivery Roadmaps, Design Thinking, Stakeholder Management, and Objectives and Key Results.
Machine Learning
Expertise in developing and implementing machine learning solutions, including NLP, deep learning, and recommendation systems.
Data Science
Proficiency in data analysis, big data technologies, and building data pipelines for large-scale data processing and analytics.
Cloud Technologies
Strong knowledge of cloud platforms, particularly AWS services for data processing, storage, and machine learning applications.
Projekthistorie
04/2023
-
bis jetzt
Data and AI consultation services for multiple short-term, high-velocity projects including AI chatbot architecture, technical strategy for Agriculture 4.0, geospatial computing for solar carport installation, and digital twin architecture for EV chargers.
01/2022
-
03/2023
VP of Engineering
OneFootball Labs
Led engineering, data, product, and design teams for an NFT platform and marketplace for football video collectibles. Managed remote and hybrid teams, delivered scalable e-commerce NFT marketplace, and established Web3 business unit.
10/2018
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01/2022
Principal Machine Learning Engineer
OneFootball
Developed innovative news tagging solution, built knowledge graph, migrated data stack, and mentored engineers and analysts for a football media platform serving 15 million MAUs.
04/2018
-
06/2018
Entrepreneur in Residence
Entrepreneur First
Developed a scalable personality screening tool for talent acquisition managers using deep learning Computer Vision.
08/2016
-
03/2018
Data Scientist
DOJO Madness
Built and maintained a real-time deep-learning recommendations pipeline for 1 million daily users of a mobile app using Spark on AWS EMR and tensorflow.
01/2016
-
06/2016
Data Science Intern
Ekimetrics
Researched applications of NLP and web crawlers to the econometrics of online earned media for Automotive and Cosmetics brands.
02/2015
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09/2015
R&D Engineer Intern
EDF Energy
Researched applications of software development and data science to the digital innovation of an energy leader.
06/2014
-
12/2014
R&D Engineer Intern
Bosch Southeast Asia
Researched applications of Data Science to storage optimisation of photovoltaics energy within the Power Electronics R&D team.
Reisebereitschaft
Weltweit verfügbar
