Currently teaching 3rd year students from BSBA, BSLM, BSENT, and BAELS with Data Science and Analytics.Currently teaching 2nd year students from BSEMC with Introduction to Game Design and Development.

AI-Driven Temperature Analysis for Educational Environments in TanzaniaIn collaboration with OpenDevEd, this project aims to utilize AI, satellite imagery, and environmental data to predict classroom conditions, particularly temperature, to enhance learning environments and ensure safety in schools across Tanzania. By integrating geospatial and environmental data, the project seeks to provide actionable insights for improving classroom conditions.

I played a crucial role in a fast-paced and exciting project as an Image Annotation Specialist, contributing to the development of autonomous driving technology. Utilizing the Aimmo Data Labeling platform, I focused on preprocessing and refining large datasets to train machine learning models for self-driving cars.Key Contributions:• Image Annotation: Meticulously annotated images for object detection, classification, and segmentation, providing critical data for machine learning algorithms. Accurately identified and labeled objects like vehicles, pedestrians, traffic signs, and lanes, ensuring models could interpret surroundings effectively.• Data Preprocessing: Performed extensive data preprocessing to enhance dataset quality and accuracy. Identified and corrected inaccurate annotations, addressed incomplete or irrelevant data, and modified coarse annotations to align with project requirements. Attention to detail ensured reliable and consistent data for model training.• Collaboration: Worked closely with a diverse team of data annotators and project managers, fostering a collaborative environment. Shared insights, provided feedback, and resolved complex annotation challenges together. Our teamwork facilitated the timely delivery of high-quality annotated data, meeting stringent project demands.Through this project, I refined my attention to detail, problem-solving skills, and adaptability. I gained valuable experience in the autonomous driving domain, understanding the significance of accurate data preprocessing for machine learning applications.

Developed and Managed a Feature-Rich Telegram Investment Bot:• Designed an intuitive and user-friendly UI/UX for the bot, prioritizing simplicity for seamless interaction by hedge fund managers.• Implemented the robust backend architecture using Python, ensuring smooth integration with the web application used for portfolio management.• Oversaw daily operations, monitoring functionality, implementing updates, and collaborating with the development team to improve the bot based on user feedback.• Contributed to the Python Backend Development of the Investment Platform Web Application:•Developed APIs and integrated them with the database.•Implemented complex logic for core portfolio management features like asset allocation, risk assessment, and trade execution.Impact: Successfully merged UI/UX design and backend development skills to create a powerful and user-friendly bot, enhancing the investment platform experience for hedge fund professionals.