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Data Engineering, Applied ML, MLOps
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
quandl-ingest
November 16, 2020 – November 16, 2020
Ingesting FRED Interest Rates from Quandl
View Projectdrugbank-ingest
October 19, 2020 – October 22, 2020
Ingest pipeline for DrugBank datasets
View Projectdistributed-unet
November 9, 2019 – January 28, 2024
Segmenting EM-shower particles and track particles using Unet and Horovod
View ProjectInterlaceNet
October 9, 2018 – October 10, 2018
Experimenting with ensembles of "interlaced" networks
View ProjectTinySSD
July 25, 2018 – August 4, 2018
TensorFlow implementation of TinySSD: https://arxiv.org/pdf/1802.06488.pdf
View ProjectRAM
November 30, 2017 – November 30, 2017
TensorFlow implementation of Mnih et. al., recurrent attention model
View ProjectCultural Fit Analysis
The candidate's project history shows a strong inclination towards personal, academic-style projects, particularly in machine learning and data ingestion. While this demonstrates initiative and technical curiosity, the projects are heavily backend/data-focused and do not align strongly with a 'Frontend Developer' target role. The diversity of technologies is broad (Python, Go, HCL, Racket, Prolog, Dockerfile, Shell, HTML, CSS, JavaScript), but the depth in frontend-specific frameworks or modern practices is not evident. This suggests a potential mismatch with a dedicated frontend role, indicating a lower cultural fit for a specialized frontend team without further evidence of frontend passion or expertise.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, and no interview data or detailed work experience descriptions are provided.