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ML Engineer | Data Engineer | Backend Developer | Coder @ericsson | Polyglot (Java, Scala, Python, Golang)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Ericsson
ML Engineer
June 15, 2026 – Present
nlp-with-transformers
February 1, 2026 – Present
Code and Notebooks from the book NLP with Transformers
View Projectdata-generator
November 7, 2022 – November 7, 2022
This is a repo for creating dummy data for testing
View Projectpandas-ff-comparison
October 7, 2022 – October 17, 2022
This is a repository describing performance for different file formats in pandas.
View Projectspringboot-microservice-demo
October 1, 2022 – October 7, 2022
springboot-microservice-demo — GitHub repository
View ProjectHands-On-ML-Notebooks
September 22, 2022 – September 24, 2022
Repo for learning machine learning
View Projectspark-pmml-demo
September 12, 2022 – September 17, 2022
A Demo project to explore spark pmml
View Projectseldon-java-jni-slim-demo
January 9, 2022 – January 13, 2022
Example repo for implementing seldon-java-jni without springbootframework
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards learning and exploring new technologies, which can be a positive cultural fit for an innovative environment. However, the projects are predominantly personal learning exercises rather than collaborative or production-oriented, which might indicate a need for development in team collaboration and project delivery within a professional setting. The current role as 'ML Engineer' at Ericsson aligns with the target role, but the lack of detailed experience or project descriptions makes it difficult to fully assess the depth of this alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.