🌟 About Me
I'm a Master's student in Electrical and Computer Engineering at Johns Hopkins University with a passion for leveraging Machine Learning and Embedded Systems to solve real-world problems, particularly in healthcare and medical devices. My journey in technology is fueled by curiosity and a drive to create impactful solutions.
💻 Technical Skills
- Programming: Python, C++, C, JavaScript (Node.js, React.js), HTML, CSS
- Machine Learning: Signal Processing, TensorFlow, PyTorch, Wav2Vec, MetricGAN+
- Embedded Systems: Verilog, Embedded C, Arduino, ESP32
- Data Communication: Wireless Protocols, MQTT
- Databases: MongoDB
- Tools: MATLAB, Git, Docker
📂 Highlighted Projects
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COPD Detection System
- Developed a machine learning model for non-invasive COPD detection using respiratory sounds.
- Integrated MEMS microphones for data collection and built a scalable diagnostic solution.
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Emotion Recognition in Noisy Environments
- Created a robust framework for speech emotion recognition under noisy conditions.
- Employed MetricGAN+ and Wav2Vec2 for signal denoising and feature extraction.
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Surgical Navigation Algorithms
- Implemented calibration, distortion correction, and point cloud registration algorithms for a stereotactic navigation system.
- Enhanced accuracy of 3D transformations for real-time surgical applications.
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- Designed a software-defined radio-based marine VHF scanner using Embedded C and signal processing techniques.
🚀 Current Focus
- Deepening my expertise in Machine Learning for Signal Processing and Medical Applications.
- Exploring advanced frameworks like TensorFlow, PyTorch, and multimodal ML models.
- Actively contributing to open-source projects and building a portfolio showcasing innovation in healthcare technology.
📫 Let's Connect!
- LinkedIn: linkedin.com/in/Harshith
- Email: harshith@chennupatis.com