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AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
mood-music-discovery
April 3, 2026 – Present
RAG-based music recommendation system using sentence-transformer embeddings, FAISS, FastAPI, and Claude API.
View Projectfacial-emotion-recognition
January 7, 2026 – Present
Benchmarked ResNet50, DDAMFN, and ResEmoteNet on FER+ dataset. Best model (83.8% accuracy) deployed as a containerized REST API using FastAPI and Docker.
View Projectmeg-channel-attention
November 4, 2025 – Present
Custom deep learning architecture with attention modules for neural signal classification.
View Projecthrv_estimation_chest_motion
March 21, 2023 – November 23, 2024
hrv_estimation_chest_motion — GitHub repository
View Projectface-boundry-and-facial-landmark-detection
August 31, 2022 – Present
Face Boundary and Facial Landmark Detection Using Convolutional Neural Networks
View Projectspace-invaders
August 27, 2022 – November 28, 2022
A simple implementation of Space invaders using javafx library.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in machine learning and data science. The diversity of projects (HRV estimation, facial emotion recognition, music discovery, neural signal classification) indicates a broad curiosity and ability to apply skills across different domains. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment. The target role is 'Data Scientist', which aligns well with the candidate's project portfolio.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.