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Hamna-Kaleem/README.md

Hi there πŸ‘‹

I’m excited to share that I earned the AWS Certified Machine Learning – Specialty certification!

🧭 Why This Certification?

As a Machine Learning Engineer, I’ve built and deployed models across domains like:

  • Audio and speech recognition (e.g., wav2vec, Whisper, DeepSpeech)
  • Natural Language Processing with GPT-style models
  • Gait-based emotion recognition using CNN-RNN hybrids

This certification validated my ability to design and deploy ML solutions using AWS, ensuring scalability, cost-efficiency, and performance.


πŸ” Skills Demonstrated

  • Model Deployment using SageMaker
  • Data Preprocessing and Feature Engineering
  • Cost Optimization using Inferentia (Inf1/Inf2)
  • Model Monitoring and MLOps Pipelines

πŸ› οΈ How I Prepared

  • Real-world projects in SageMaker
  • Applied learning from my job experience

πŸ“œ View My Credly Badge

πŸŽ“ I earned this certification to validate my skills in designing, training, and deploying ML models on AWS.


πŸ“š Author Journey

Alongside my work in Machine Learning, I’m also a children’s book author!
I wrote T.A.P: The Amazing Pixels, a fun and educational story that turns the keyboard into a magical town where every key has a personality.

  • 🎨 Designed for kids aged 5–10
  • ✨ Blends storytelling with learning about letters, numbers, and computers
  • πŸ“– Available now on Kindle

πŸ‘‰ Read TapTown on Kindle (insert Amazon link here)

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  1. anagram_blaster anagram_blaster Public

    Python

  2. Speech-Signal-Basics Speech-Signal-Basics Public

    Key Concepts of Waveforms, Sampling, and Quantization

    Python

  3. Speech-Signals-Features Speech-Signals-Features Public

    Python

  4. MFCC-Interpretation MFCC-Interpretation Public

    Python

  5. AdvancedSpeechRepresentations AdvancedSpeechRepresentations Public

    Python

  6. anagram anagram Public

    Python