Backend Engineer, Junior AI Engineer - Building Ondra (AI/IoT) Platform
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Assessing your cultural and operational fit
german-credit-risk-ml
June 17, 2026 – Present
Credit risk classification on the German Credit dataset, EDA, preprocessing, logistic regression built from scratch, and model comparison (SVM, Naive Bayes) with hyperparameter tuning.
View Projectlogistics-data-pipeline
June 7, 2026 – Present
logistics-data-pipeline — Dev.to repository
View Projectondra-backend
May 25, 2026 – Present
An operational data platform for logistics and fleet management, equipped with predictive analysis and RFID/IoT technology for downstream petroleum companies.
View Projecthelios-form
March 21, 2026 – Present
A form engine that supports versioned schemas, validation, and submissions, built with FastAPI and MongoDB.
View Projectinflow
October 9, 2023 – Present
This is an IoT monitoring SaaS application that stores and analyzes data from remote sensors and visualizes results on a dashboard.
View Projectchrome_ext_screen_recorder_api
September 28, 2023 – October 2, 2023
A Django API Endpoint for a Screen Recorder Chrome Extension, built with Django, Django Rest Framework
View ProjectBubblePay_App_Banking
June 15, 2023 – July 5, 2023
This is banking website made with HTML5, Bootstrap5, TailwindCSS and Django
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in Python-based development, including some data science and IoT applications. This aligns with a data-driven culture. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit. The diversity of projects (web, IoT, ML, data pipelines) indicates a broad interest, but also a potential lack of deep specialization in a single area relevant to a senior Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.