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AI/ML Intern
Bharat Electronics Limited
Jun 2025 - Aug 2025
Engineered an end-to-end acoustic event detection system for defence surveillance, curating a composite dataset of 8,732+ labeled clips across 10 sound classes from UrbanSound8K and AudioSet to classify 3 security-critical event types (vehicles, aircraft, gunfire). Implemented an ML pipeline with preprocessing (log-Mel spectrograms) and augmentation (Mixup, SpecAugment), improving model robustness and generalization on noisy real-world audio. Applied transfer learning strategies, utilizing YAMNet as a feature extractor and fine-tuning AST, achieving about 93% classification accuracy with high recall for critical events.
Education
Bachelor of Technology, Information Technology - Dr. B. R. Ambedkar National Institute of Technology (NIT) Jalandhar
2022 - 2026 ยท India
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