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rawnet-sv
April 19, 2026 – Present
This project addresses text-independent speaker verification through an end-to-end learning framework operating directly on raw audio waveforms. Using the RawNet architecture, the study examines the model’s ability to extract speaker-discriminative representations and verify identity independently of spoken content.
View ProjectECG-Anomaly-Detection
September 6, 2024 – September 7, 2024
Anomaly detection on EKG data using LSTM Autoencoder to identify irregular heartbeats.
View ProjectBrain-Tumor-Detection
September 6, 2024 – September 7, 2024
This project implements YOLOv8 for detecting brain tumors in MRI images.
View ProjectCultural Fit Analysis
The candidate's projects indicate a strong interest in diverse AI/ML applications, from audio and medical imaging to natural language processing (RAG). This breadth suggests adaptability and a proactive learning attitude, which could contribute positively to a dynamic team environment. However, without information on collaborative projects or team roles, assessing direct cultural fit is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.