Entry-level Machine Learning Engineer / Python Developer with a strong foundation in ML algorithms, model building, data preprocessing, feature engineering, and model evaluation. Skilled in Python, ML pipelines, and prob…
Entry-level Machine Learning Engineer / Python Developer with a strong foundation in ML algorithms, model building, data preprocessing, feature engineering, and model evaluation. Skilled in Python, ML pipelines, and problem-solving with hands-on experience developing speech processing and network security ML systems. Seeking ML-focused SDE roles involving model development, backend ML integration, and data-driven applications.
Worked with senior developers to debug, test, and deploy web components.
Built reusable, modular JS components, reducing frontend load time by 15%.
Designed digital creatives, improving engagement by 30%.
Awarded Best Intern for performance and quality output.
Built reusable, modular JS components, reducing frontend load time by 15%.
Worked with senior developers to debug, test, and deploy web components.
Designed digital creatives, improving engagement by 30%., Awarded Best Intern for performance and quality output.
Developed ML-based speaker authentication system resilient to stress-induced vocal variation. • Extracted MFCC, spectral features, chroma vectors for robust classification. • Trained multiple classifiers (SVM, Random Forest, Logistic Regression) and achieved high speaker-specific accuracy.• Implemented noise-handling, normalisation, and feature scaling for reliable inferencing. • Built complete ML pipeline: preprocessing → feature extraction → model training → evaluation
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