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LLM-Semantic-Document-Processor
August 6, 2025 – August 6, 2025
LLM-Semantic-Document-Processor — GitHub repository
View ProjectSurfaceModel
May 28, 2025 – June 2, 2025
This project focuses on developing machine learning models to identify different surface types using time-series data collected from a pressure sensor. The goal is to classify surfaces such as Glass, Paper, Marble, and others by analyzing their resistance patterns over time
View ProjectOFDM-AI-Modulation-Classifier
April 10, 2025 – Present
AI-powered hybrid system using CNN, LSTM, and GANs to classify OFDM modulation schemes under low-SNR conditions. Enhances signal detection for SDRs, cognitive radios, and satellite communication. Trained on IEEE OFDM dataset.
View ProjectBiasFreeEmoDetect
March 8, 2025 – April 15, 2025
"BiasCorrectEmoRec" enhances emotion recognition by integrating facial images and physiological signals while mitigating biases in AI models. Using deep learning, it ensures fair and accurate detection across diverse demographics. This project aims to improve reliability and ethical AI practices in emotion analysis.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal technical projects, particularly in AI/ML. The diversity of projects, from signal processing to emotion detection and LLM processing, suggests a broad technical curiosity. However, without information on professional experience or team-based projects, it is difficult to fully assess cultural fit beyond technical alignment with a data science role. The candidate's experience level is listed as 0, which suggests a junior profile, potentially impacting immediate cultural integration into a senior role without mentorship.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on complex technical problems, but there is no information regarding teamwork, communication, or problem-solving in a collaborative environment.