✓ Implemented RESTful APIs to facilitate secure communication between the web application and back-end services, optimizing data flow and enhancing overall system performance.✓ Actively participated in the agile development process, attending daily stand-ups, contributing to sprint planning, and delivering high-quality code within tight timelines.✓ Assisted in the identification and resolution of technical issues and bugs, conducting thorough testing to maintain a reliable and… Show more ✓ Implemented RESTful APIs to facilitate secure communication between the web application and back-end services, optimizing data flow and enhancing overall system performance.✓ Actively participated in the agile development process, attending daily stand-ups, contributing to sprint planning, and delivering high-quality code within tight timelines.✓ Assisted in the identification and resolution of technical issues and bugs, conducting thorough testing to maintain a reliable and bug-free web application.✓ Collaborated with the product management team to understand customer needs, providing valuable insights and suggesting improvements to the loyalty platform's features. Show less

✓ Developed and implemented a cutting-edge Photoplethysmogram (PPG) based AF classification algorithm for real-time data analysis in challenging environments.✓ Successfully processed and curated a diverse dataset of 212 PPG records, comprising 108 with AF and 104 without AF. Employed advanced denoising techniques with GSMD algorithm to remove unwanted noise, enhancing the dataset quality.✓ Achieved a commendable accuracy of 94.8% in discriminating between AF and SR using the… Show more ✓ Developed and implemented a cutting-edge Photoplethysmogram (PPG) based AF classification algorithm for real-time data analysis in challenging environments.✓ Successfully processed and curated a diverse dataset of 212 PPG records, comprising 108 with AF and 104 without AF. Employed advanced denoising techniques with GSMD algorithm to remove unwanted noise, enhancing the dataset quality.✓ Achieved a commendable accuracy of 94.8% in discriminating between AF and SR using the K-Nearest Neighbors (KNN) model. The algorithm's numerical efficiency and low computational complexity make it highly promising for future hardware implementation. Show less

✓ Engaged in the development of a real-time Photoplethysmogram (PPG) filtering algorithm capable of withstanding harsh environmental conditions. ✓ Executed and evaluated the algorithm across different parameters, including RMSSD and SNR.✓ Employed the filtered PPG signal to conduct heart rate analysis.