Created and executed automated test scripts using Selenium WebDriver and Javafor a client’s website, enhancing testing efficiency.• Identified and documented over 50 bugs, contributing to the early detection andresolution of issues.• Collaborated with the development team to ensure the timely resolution ofidentified issues, improving overall software quality.

• Assisted in the Development of a LLM based web scraper used for scrapingtarget image data from any website , used for training Image generation Models• Integrated selenium functionality in the LLM scraper for sites involving dynamicJavaScript embedding, Henceforth improving the usability of the application by15%

• Engineered a custom Python module to automate processing of heart rate data,replacing manual Excel processes; reduced data processing time by 80 hours permonth, enhancing data accuracy by 25%• brought forth new extraction statistical features for providing input for predictionmodels which improved the overall net model performance by 20%• Conducted extensive market research and brainstorming sessions to identifyinnovative methods for accurately predicting emotions from heart rate data andsports events; efforts led to a 15% improvement in predictive accuracy.• Developed improved and maintained a Sentient Analysis Machine Learning modelwhich was built using RNN and LSTM networks• Researched and brainstormed ideas for the structure of the RNN network andobtained a model accuracy of 83% on the accumulated user dataset• Did regular optimizations and modifications when new data and featureswere brought forth, reducing computational power by 5 %

Designed a fully functional Facial Recognition-based Attendance System, getting animage recog accuracy of 90% on still images