Hello there ! I am IT Support professional and MySQL Database Administrator based in Auckland, NZ. I keep systems healthy, databases fast and users unblocked — whether it's troubleshooting hardware, managing data or solving what's behind the screen.
2+
Years experience in IT Support
6+
Months experience in DBA
2+
Years experience in Web Development (Wordpress)
About
I have completed my master’s in Software Engineering from Yoobee College having experience in IT Support, Web Development and DBA. Skilled in User support, Web development and Database management and analysis with proven ability to deliver scalable digital solutions and streamline processes.
See CVSkills
Operating Systems
Networking
Hardware
Software & Tools
Cloud & Remote
Soft Skills
Programming & Database
CERTIFICATIONS
Intermediate SQL
Sololearn
SQL
TestDome
Research
Glaucoma Diagnosis through AI-Generated Insights: A Dual Modality Perspective - OCT vs Fundus
Glaucoma is a progressive optic neurone disease and it is among the major causes of blindness in the world. Prompt and proper diagnosis is the solution to loss of vision. Recent-past developments in artificial intelligence (AI) and deep learning (DL) and generative models have enhanced greatly the accuracy and automation of glaucoma detection through the retinal imaging modalities. This review assesses the present trends and future possibilities of AI application in glaucoma diagnosis and particularly in multimodal imaging strategies based on fundus photography and Optical Coherence Tomography (OCT). We point out the shortcomings of existing DL models, present the generative AI techniques, and comment on the combination of fundus and OCT imaging to increase diagnostic accuracy. There are also some challenges over the ongoing issues of clinical translation, data constraints, interpretability, and the use of large multi-modal models described in the review. Lastly, we offer the future research potential that can result in more robust, explainable, and fair AI solutions in ophthalmology.
ADOPTION OF DATA ANALYTICS TOOLS FOR DECISION MAKING OF RETAIL BUSINESS IN NEPAL
This research study sheds light on the evolving landscape of decisionmaking in the retail sector, particularly within the context of the dynamic and competitive environment of e-commerce in Nepal. The insights gained from this study provide valuable information for retailers, policymakers and industry stakeholders looking to harness the potential of data analytics tools to drive effective decisionmaking processes in the retail business. The findings underscore the importance of embracing online analytical processing and advanced analytics while also suggesting that further exploration is needed to unlock the full potential of data warehousing and data marts in the retail sector.
Contact
Available for IT Support and MySQL DBA roles in Auckland. Feel free to reach out.