- Engineered and refined prompts for LLMs like GPT-4 and Llama-3 to improve response relevance and accuracy, evaluated responses for adherence to specifications, identified areas for improvement, and generated ideal responses, resulting in enhanced user satisfaction and more effective model performance.

1. COMP249: Object Oriented Programming II- "Lab Instructor": Assisting students in mastering advanced concepts like inheritance, polymorphism, and design patterns, guiding them through complex coding tasks, and providing feedback on assignments to enhance their understanding.2. COMP352: Data Structures and Algorithms- "Programmer On Duty": Aiding students in grasping fundamental concepts such as arrays, linked lists, trees, graphs, sorting algorithms, and searching… Show more 1. COMP249: Object Oriented Programming II- "Lab Instructor": Assisting students in mastering advanced concepts like inheritance, polymorphism, and design patterns, guiding them through complex coding tasks, and providing feedback on assignments to enhance their understanding.2. COMP352: Data Structures and Algorithms- "Programmer On Duty": Aiding students in grasping fundamental concepts such as arrays, linked lists, trees, graphs, sorting algorithms, and searching algorithms.3. SOEN 341: Software Process- "Lab Instructor": Assisting students in hands-on exercises and projects, helping them comprehend and implement software processes such as Agile, Scrum, and nurturing their skills in software project management and quality assurance.4. SOEN6441: Advanced Programming Practices- "Lab Instructor": Mentoring students in applying advanced programming techniques, software design principles, and industry best practices.- "Marker": Responsible for assessing and evaluating students' coding assignments and projects. Show less

- Responsible for providing academic support and guidance to students studying in the fields of Science, Technology, Engineering, and Mathematics.- My primary role involves working as an online chat tutor, where I interact with students from various academic levels and backgrounds.

- Developed and maintained Samsung Smart TV app registration and verification portals using Java and Angular within a microservices-based architecture, adhering to agile methodologies to deliver improvements in biweekly sprints, resulting in an optimized, reusable codebase and efficient project management.- Worked on supervised learning models to forecast whether apps would pass or fail testing based on app metadata, resulting in a reduction of over 30% in resource expenditure for the QA… Show more - Developed and maintained Samsung Smart TV app registration and verification portals using Java and Angular within a microservices-based architecture, adhering to agile methodologies to deliver improvements in biweekly sprints, resulting in an optimized, reusable codebase and efficient project management.- Worked on supervised learning models to forecast whether apps would pass or fail testing based on app metadata, resulting in a reduction of over 30% in resource expenditure for the QA team.- Conducted code reviews and participated in quality assurance activities to ensure high standards of code quality and functionality. Collaborated closely with cross-functional teams, including designers, product managers, and QA engineers, to deliver cohesive and user-friendly software solutions. Show less

- Conducted "Emotion Analysis", which involved classifying tweets into one of 13 emotions.- To address imbalance, employed various sampling techniques and integrated pre-trained word embeddings using GloVe.- Constructed a BiLSTM Neural Network Model for tweet classification, resulting in an impressive 172% improvement over the baseline model.

- Detected fraudulent credit card transactions and employed preprocessing techniques to handle missing data, eliminate noise, and address the dataset's imbalance. Built a Random Forest Classifier that significantly boosted performance by 105%.- Estimated steel production rates, used dimensionality reduction techniques to address the overfitting problem mitigate by high-dimensional data and applied the XGBoost model, resulting in a notable 150% enhancement in accuracy.