Master of Science in Robotics

Courses: - Introduction to ML, Reinforcement Learning, Fundamentals of AI, Computer Vision and Image Processing, Robotics Algorithms, Deep Learning.

Bachelor of Engineering in Electronics and Telecommunication

AI/ ML Software Development Intern

- Building a face detection and recognition module as the first step of the identification process and establishing a trust level between the user and the company. - Performing Detection using Haar cascade classifiers, extracting and storing the image features in an array form. Calculating the Cosine Similarity between the input image array and the image arrays in the Database to perform recognition. - Alternatively, deploying the ML model to perform classification using Random Forest and XGBoost classifiers on the non-linear image array dataset led to a 30% increase in the recognition accuracy than the cosine similarity algorithm and integrating it with the application dashboard of establishing trust created using MongoDB and ReactJS on AWS.

Software Development Engineer

- Leveraged regression methods to predict potential students based on interesting subjects extracting a list of potential customers saving up to 6 hours of manual work per database. - Increased positive reviews of AI chatbot by 32% by using models to correctly predict appropriate lecture parts based on keywords in doubt questions. - Implemented localization algorithms based on LIDAR and developed programming exercises for students based on the algorithms.