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Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
flutter-stock-app
August 16, 2022 – August 16, 2022
simple app to view stocks on different time periods and add to a watchlist
View Projectlambda-layer-generation
April 25, 2021 – April 25, 2021
Automatically generate aws lambda layer .zip file from a requirements .txt. Requires docker to be installed
View Projectmatric-data-dashboard
October 1, 2020 – October 1, 2020
matric-data-dashboard — GitHub repository
View Projectfastapi-ml-microservice
September 6, 2020 – September 15, 2020
fastapi-ml-microservice — GitHub repository
View ProjectML-microservice
September 3, 2020 – September 3, 2020
operationalize a machine learning microservice with K8
View Projectdetection-assisted-annotation-tool
June 30, 2020 – July 13, 2020
labeling tool that allows easy plugin of detection networks that can assist in the labeling process
View ProjectPySimpleGUI-Neural-Nets
February 26, 2020 – March 28, 2020
just some boilerplate code for implementing neural nets in pytorch , with some added GUI vis for fun. Play with the parameters and make observations as to how they affect the training process.
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of projects, from GUI development to MLOps, suggests adaptability. However, without professional experience or detailed project narratives, a comprehensive cultural fit assessment is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.