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Assessing your cultural and operational fit
Multi-view-object-detection
November 4, 2025 – December 23, 2025
Multi-camera pipeline for auto-labeling, training, and running YOLO-based object detection and tracking at scale.
View ProjectGAN-CNN
October 9, 2025 – December 27, 2025
A vehicle AI pipeline where a VividNeonTexture GAN re-draws YOLOv5-detected cars from scratch with learned neon and chrome-like details for high-impact stylized renders.
View ProjectSpiral-Untagler-ANN
September 20, 2025 – December 27, 2025
A neural network built from scratch in NumPy that learns to untangle intertwined spirals, complete with visualisation tools and experiments on nonlinear manifolds
View ProjectIPKE
July 10, 2025 – Present
IPKE extracts Procedural Knowledge Graphs from industrial documents using task-decomposed prompting.
View ProjectBank-Term-Deposit-Prediction
July 8, 2025 – December 29, 2025
A deep‐learning model (TensorFlow) that predicts which banking customers will subscribe to term‐deposit products; includes data cleaning, feature engineering and handling class imbalance.
View Projectimadlab
July 6, 2025 – Present
My own personal website: a React‐TypeScript site with a secure admin CMS, real‐time integrations (Spotify now‐playing, newsletter sign‐ups) and a live project gallery. The codebase demonstrates modern front‐end patterns, Supabase integration and CI/CD practices
View ProjectClearBox
February 9, 2025 – November 1, 2025
A full‐stack secure messaging platform with FastAPI, React and PostgreSQL. It offers real‐time encrypted chat, group conversations, presence/typing indicators and GDPR‐compliant storage
View ProjectWeather_Pipeline
December 18, 2024 – December 19, 2024
This project involves building an ETL pipeline to extract, transform, and load weather data from an API into a PostgreSQL database, followed by visualizing the data through a Django web interface.
View ProjectTRASHFORMERS
January 28, 2024 – February 2, 2024
Sort and dispose of falling garbage in this eco-friendly game! ♻️
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, covering AI/ML, full-stack development, and data engineering, which indicates a broad interest in technology. The projects align well with a Data Scientist role, particularly those involving deep learning, object detection, and knowledge graph extraction. The personal nature of all projects suggests self-motivation and initiative. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on diverse technical challenges. However, without specific psychometric or English test results, it is difficult to assess soft skills, logical reasoning, work attitude, stress handling, or team collaboration.