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Specializing in Machine Learning and Deep Learning, with hands-on experience building robust, explainable, end-to-end AI systems for real-world applications.
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SatSure
Data Scientist
June 19, 2026 – Present
Food-Image-Classifier
December 20, 2025 – Present
A food image classifier built using transfer learning with a fine-tuned ResNet18 model. The project focuses on correct end-to-end deployment—covering preprocessing, model inference, confidence-based predictions, and a Gradio-powered web interface hosted on Hugging Face Spaces.
View ProjectMechaFault-Acoustic-Machine-Anomaly-Detection
December 19, 2025 – December 21, 2025
MechaFault is an industrial-grade acoustic anomaly detection system designed to identify mechanical failures in equipment like pumps, fans, and valves. It utilizes a Dual-Branch Hybrid Architecture that integrates multi-resolution Mel-spectrograms with temporal 1D-CNNs to capture complex auditory signatures of machine health.
View ProjectFakeBuster-DeepFake-Detection-System
November 20, 2025 – Present
FakeBuster is a robust deepfake detection framework capable of identifying hyper-realistic synthetic media. It employs a Dual-Branch EfficientNet architecture that fuses Spatial (RGB) and Frequency (FFT) domain features to detect manipulation artifacts that are often invisible to the naked eye.
View ProjectStudent-Performance-Predictor
June 18, 2025 – July 17, 2025
Student-Performance-Predictor — GitHub repository
View ProjectDermaScan-Skin-Disease-Classifier
June 18, 2025 – Present
DermaScan is a multi-modal diagnostic tool that combines Deep Learning (CNNs) with clinical symptom analysis to classify skin conditions. It utilizes EfficientNet-B3 for image feature extraction and integrates patient-reported symptoms to refine prediction probabilities, bridging the gap between visual analysis and patient history.
View ProjectArise-Canteen
June 18, 2025 – June 19, 2025
Arise Canteen is a comprehensive web-based platform that digitizes the college canteen experience, allowing students and staff to browse menus, place orders, and manage food services efficiently.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in advanced AI/ML applications. The diversity of projects (deepfake detection, acoustic anomaly, medical imaging, food classification) suggests a broad curiosity and ability to apply skills across different domains. However, the lack of team-based projects or explicit collaboration details makes it difficult to fully assess cultural fit beyond individual drive. The current experience as a Data Scientist at SatSure aligns well with the target role.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The candidate's project descriptions are clear, indicating good technical communication.