Sayee Rekhe

I am a highly motivated Electronics and Telecommunications student seeking an internship to learn and contribute to organizational growth. With skills in image processing, machine learning, and deep learning, I am dedicated to fostering collaboration and maintaining a positive team dynamic.

I have worked on several key projects, including:

1. English to French Translator Using Deep Learning Developed an English to French translator integrating Deep Learning models like LSTM and sequence-to-sequence (seq-seq) Attention.

• Skills: Deep Learning, NLP, Python programming.

2. Image Deraining Used Morphological Operations to create a raindrop mask with Digital Image Processing techniques, introducing a comprehensive image-restoration process for rain-damaged images.

• Skills: Digital Image Processing, MATLAB.

3. Password Strength Classifier Using Machine Learning Developed a Password Strength Classifier integrating Machine Learning algorithms like Logistic Regression to classify passwords into "Weak," "Strong," and "Very Strong" categories.

• Skills: Machine Learning, Python programming, Logistic Regression, evaluation metrics.

4. Image Denoising Using FPGA Implemented denoising algorithms for image processing on FPGA development boards, focusing on removing salt and pepper noise.

• Skills: FPGA programming, algorithm implementation, MATLAB proficiency

Currently pursuing BTech in Electronics and Telecommunication from MKSSS’s Cummins College of Engineering.

• Strong foundation in signal processing, digital communications, embedded systems, and VLSI design.
• Developed technical skills through hands-on projects and laboratory work.
• Focusing on areas such as image processing, machine learning, and deep learning. 

This program has also honed my problem-solving abilities, teamwork, and communication skills, preparing me to excel in dynamic and collaborative environments.