Apoorvika S
@apoorvikas
Software Developer with 1.9 years of experience building C# web solutions and deep learning systems.
Saudi ArabiaWhat I'm looking for
I’m a Computer Science professional with a Master of Science (2023) and 1.9 years of experience as a Software Developer. I focus on turning technical research and solid engineering practices into practical, reliable solutions.
In my recent role as a Software Engineer at Datamatics Global Services Limited, I developed dynamic web pages for clients (BUPA) using Asp.Net MVC, C#, and the Sitecore platform. I also worked on resolving software issues while keeping a customer-focused, analytical approach to problem-solving.
Alongside software development, I’ve built a strong deep learning foundation through my Master’s Thesis. I developed a Faster R-CNN-based system in Python to predict bone gap measurements from finger X-ray images for medical diagnosis, achieving 96% accuracy and validating results with domain experts like radiologists and orthopedic specialists.
I enjoy bridging software and real-world systems, from research to prototypes—like my Arduino UNO project for a smart farming app that integrated IoT sensor data and earned a top score in departmental evaluation. I bring skills across database management, unit testing, and machine/deep learning to help teams deliver high-quality outcomes.
Experience
Work history, roles, and key accomplishments
Developed dynamic web pages for a client (BUPA) using Asp.Net MVC, C#, and the Sitecore platform. Performed software issue resolution and technical support as part of software development work.
Education
Degrees, certifications, and relevant coursework
National Taipei University of Technology
Master of Science, Machine Learning and Deep Learning
2021 - 2023
Grade: 89%
Activities and societies: Master’s thesis (Sep 2022–Jun 2023): built and trained a Faster R-CNN model in Python for finger X-ray bone gap measurement prediction; collected/preprocessed medical imaging data; collaborated with radiologists/orthopedic specialists to validate results.
Master of Science in Machine Learning and Deep Learning at National Taipei University of Technology (Sep 2021–Jun 2023). Completed a deep learning thesis on Faster R-CNN for bone gap measurement prediction with 96% accuracy.
Sethu Institute of Technology
Bachelor of Technology, Information Technology
2015 - 2019
Grade: 80%
Activities and societies: Final Year Engineering Project (Nov 2018–Mar 2019): led cross-platform smart farming app development using Arduino UNO, integrating IoT sensor data; coordinated with hardware and data teams; contributed to documentation/UI-UX; deployed a working prototype and received top departmental project evaluation score.
Bachelor of Technology in Information Technology at Sethu Institute of Technology (Aug 2015–May 2019). Delivered a smart farming prototype using Arduino UNO and IoT sensor integration and achieved a top score in the departmental evaluation.
Availability
Location
Saudi ArabiaAuthorized to work in
Job categories
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