
Engineering @xunoia
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
multimodal_emotion_recognition
February 16, 2026 – Present
multimodal_emotion_recognition — GitHub repository
View Projectnn_mnist
December 19, 2025 – Present
A complete implementation of a feedforward neural network built from scratch in C++ without using any ML libraries. Includes manual backpropagation, Adam optimizer, model serialization, and training on the MNIST dataset with ~98 percent validation accuracy.
View Projectvehicle-speed-tracking
November 16, 2025 – November 17, 2025
Vehicle speed estimation from highway CCTV footage using YOLOv8, object tracking, and motion based speed calculation.
View ProjectEarly-Alzheimers-Diagnosis
April 20, 2025 – July 11, 2025
A deep learning-based model using ResNet50 to classify MRI brain scans into four stages of Alzheimer's Disease. The project aims to support early diagnosis through accurate image classification and evaluation using metrics like accuracy, ROC curves, and confusion matrices.
View Projectagora-token-server
August 27, 2023 – September 14, 2023
Agora Token Server created using Go Lang to generate RTC and RTM tokens for livestreaming.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong self-driven learning approach. The diversity of technologies (Dart, Go, C++, Python, HTML/CSS/JS) suggests adaptability and a willingness to explore different domains, which can be a positive for cultural fit in a dynamic environment. However, the lack of team projects or professional experience makes it difficult to assess collaboration and broader cultural alignment. The projects align well with a Data Scientist role, particularly in the areas of deep learning and computer vision.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.