
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Team-Task-Board-tfvc-to-git-
June 4, 2026 – Present
Team-Task-Board-tfvc-to-git- — GitHub repository
View ProjectDistributed-Cloud-Storage---Sync-Platform
February 18, 2026 – Present
A scalable, distributed cloud storage and synchronization platform built with .NET 9 and Angular 21, following Clean Architecture principles. Designed to handle large files (up to 50 GB), support offline operations, and provide real-time synchronization.
View Projectangular-test-generator
July 21, 2025 – August 20, 2025
angular-test-generator — GitHub repository
View ProjectDefect-Detection-System
July 15, 2025 – November 17, 2025
Streamlit-based defect detection app using a TFLite deep learning model.
View ProjectE-Commerce-Product-Recommender
June 6, 2025 – November 17, 2025
A simple, full-stack machine learning project that builds a product recommendation system using real e-commerce event data.
View ProjectMovie-Recommendation-System-Using-Supervised-Learning
June 5, 2025 – November 17, 2025
A binary classification machine learning project built with PyTorch, using the MovieLens 100k dataset. The model predicts whether a user will like a movie (rating ≥ 4) based on user and movie IDs using embeddings and a feedforward neural network.
View ProjectCareflow-healthcare_AI
July 31, 2024 – Present
The main objective of this digital web-application is to develop an AI-driven solution to optimise patient scheduling and resource allocation in healthcare facilities like hospitals.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, including several related to AI/ML, which aligns with a Data Scientist role. However, the diversity of technologies used across projects (C++, HTML, TypeScript, Dart, Swift, etc.) suggests a broad interest rather than deep specialization in data science tools. The lack of professional experience or team-based projects makes it difficult to assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.