About
Detail-oriented AI & Machine Learning student with hands-on experience in image annotation, dataset preparation, transcription, and computer vision. Worked on an ISRO-related machine learning project and has exposure to AWS cloud fundamentals and AI/ML workflows.
Experience
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AI Data AnnotationISRO-Related Machine Learning Project
Worked under the guidance of ISRO scientists on image data annotation and machine learning dataset preparation. Performed image labeling, data verification, and quality checks to maintain accurate and consistent datasets. Identified and corrected annotation inconsistencies during the data preparation process.
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AWS AI-ML Virtual InternAmazon
Trained on AWS cloud fundamentals and AI/ML workflows. Worked with EC2, S3, IAM, and basic model lifecycle concepts.
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Zero Trust Cloud Security Virtual InternZscaler
Learned Zero Trust architecture and core cloud security principles. Gained exposure to identity-based access control and secure access models.
Education
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2026
B.TechVignan Bharathi Institute of TechnologyArtificial Intelligence and Machine Learning · Apr 2026
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2022
IntermediateSri Chaitanya Junior KalasalaScience · Apr 2022
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2020
SSCLord’s High SchoolApr 2020
Skills
Tools / apps / platforms
Projects
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CrySense – Infant Cry Recognition SystemCNN,LSTM,Flask
Developed a CNN–LSTM audio classification model for infant cry intention detection. Processed raw audio using Log-Mel spectrograms and waveform features with augmentation. Deployed a real-time inference API using Flask.
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Memory-Efficient Computer Vision PipelinePython
Processed and validated 25,000+ images across 24 classes for computer vision model development. Performed image preprocessing, dataset quality checks, and data verification. Applied data augmentation and evaluated performance using weighted F1, precision, and recall.