Engineering Leader AI/ML | Director Technology Consulting
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
graphdb-book-part-1
June 16, 2026 – Present
Graph for the Data You Already Own A short book on Graph Data for Working Data Engineers, with LadybugDB
View Projectsolr-ir-tutorial
October 5, 2025 – October 7, 2025
Modern Information Retrieval with Solr (Bonus RAG and GenAI)
View Projectwaferthickness
February 21, 2022 – February 25, 2022
Nanofabrication (Semiconductor) Wafer Thickness Prediction Data ML Experiment
View ProjectLSTM_Electricity_01
October 11, 2017 – July 26, 2019
Time Series Forecasting with Deep Learning /LSTM Part 1
View Projectazureml-pretrained-sklearn
May 13, 2015 – May 13, 2015
Code and model for AzureML sklearn pre-trained model usgage
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science and machine learning. The diversity of projects, from information retrieval to adversarial machine learning and graph databases, indicates a broad curiosity and self-driven learning approach. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration or adaptability in a professional setting. The projects align well with a Data Scientist role, but the 'personal' nature of all projects suggests a potential gap in understanding enterprise-level development workflows or team dynamics.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.