Work History

Architected and deployed AI-driven algorithms for real-time scent composition and adaptive fragrance diffusion based on environmental data and user preferences.

Developed robust machine learning models for predictive scent depletion and automated replenishment, optimizing supply chain logistics.

Integrated advanced sensor fusion techniques to enhance contextual awareness of fragrance devices, leading to personalized user experiences.

Led the development of scalable Python-based backend services using Django, facilitating seamless data ingestion and model serving for IoT-enabled devices.

Implemented anomaly detection systems for device performance and scent quality assurance, ensuring high operational reliability.

Developed an interactive campus map application using geospatial data and Python, enhancing navigation and resource discovery for students and faculty.

Designed and implemented a smart timetable system with real-time lecturer position tracking, optimizing classroom utilization and student scheduling.

Conducted research on predictive analytics for student performance, utilizing machine learning to identify at-risk students and recommend personalized interventions.

Collaborated on a project to automate university administrative tasks using scripting and data integration, significantly reducing manual workload.

Designed and built a line-following robot using basic sensors and microcontrollers, demonstrating principles of autonomous navigation.

Developed a simple home automation system prototype using Arduino, controlling lights and appliances via basic programming interfaces.

Led the school robotics club, fostering interest in STEM fields and guiding peers in competitive robotics challenges.

Created a basic inventory management system using Python for school supplies, improving organizational efficiency.

Participated in regional science fairs, presenting projects on renewable energy and basic circuit design.