Vikas Thamke

I am a seasoned software developer with a strong background in machine learning and data analysis. My experience spans developing and fine-tuning algorithms for precise heart rate and PQRST peak calculation in ECG samples, as well as designing neural network classifiers for blood pressure categorization.

My expertise extends to natural language processing, computer vision, and data visualization, with proficiency in a range of tools and technologies, including Python, Matplotlib, Seaborn, and TensorFlow. I have a proven track record of delivering high-impact projects, including the development of Fairsense, a pre-processing bias mitigation algorithm, and a cross-lingual search engine for Chanakya Neeti.

I hold a Master of Technology in Computer Science and Engineering from the Indian Institute of Technology Kanpur and a Bachelor of Technology in Computer Science & Engineering from Amity University. My academic background has provided me with a solid foundation in computer science and engineering, and I am committed to staying up-to-date with the latest developments in the field.