Comprehensive IT & Research Solutions:
· Specializing in credential management, IT services, audio production, and app development, delivering end-to-end solutions tailored to industrial and small-scale deployments. Expertise spans software engineering, signal processing, and system architecture to ensure seamless project execution.Academic & Research Contributions:
· Active contributor to ARRAKPP Software Engineering & Applied Systems Lab (ARRAKPPSEASL), with a strong focus on deep learning, AI-driven diagnostics, and medical imaging research. Served as a peer reviewer for Springer Nature (New York, US), evaluating cutting-edge studies in machine learning, healthcare AI, and computational research methodologies.Technical Expertise & Innovation:
· Proficient in .NET technologies, Digital Audio Workstations (DAWs), and R&D-driven development, emphasizing modular design, system scalability, and compliance with research standards. Dedicated to cross-functional collaboration and continuous advancements in AI, automation, and IT security.;
Dependencies & Plugins: .NET Technologies, DAWs, R&D;
Note: Following modern architectural R&D methodologies and principles.
· Including, ARRAKPP Software Engineering & Applied Systems Lab (ARRAKPPSEASL) - GRA · Jan 2022 - PresentGRA · Jan 2022 - PresentLink: https://www.researchgate.net/lab/ARRAKPP-Software-Engineering-Applied-Systems-Lab-ARRAKPPSEASL-Ratul-Ali[· Springer Nature (New York, US) Reviewer 19 January, 2025 11 February, 2025 SNCS-D-24-01492 Original Research An Optimized Deep Learning Method for Automatic Translator for Ancient Hieroglyphic Language from Scanned Images to English Text· Springer Nature (New York, US) Reviewer 19 January, 2025 11 February, 2025 SNCS-D-24-03058 Original Research A Hybrid Approach for Enhancing Lung Cancer Detection usng FbAC-NET and Bi-LRCN · Springer Nature (New York, US) Reviewer 14 January, 2025 13 February, 2025 SNCS-D-24-09762 Original Research Prediction of Responsivity for Organic Tin Based Perovskites · Springer Nature (New York, US) - Reviewer - 10 November, 2024 - 5 December, 2024 - SNCS-D-24-06370 - Original Research - Artificial Intelligence computing based on Healthcare monitoring and diagnostic model for holistic environment· Springer Nature (New York, US) - Reviewer - 23 October, 2024 - 25 November, 2024 - SNCS-D-24-06361 - Original Research - Harnessing Machine Learning for Next-Generation Acute Coronary Syndrome Predictions· Springer Nature (New York, US) - Reviewer - 30 September, 2024 - 11 October, 2024 - SNCS-D-24-06368 - Original Research - Automated Skin cancer detection with time consuming feasibility for healthcare· Springer Nature (New York, US) - Reviewer - 10 July, 2024 - 24 July, 2024 - SNCS-D-24-04223 - Original Research - Chest X-Ray medical diagnosis via model compression by distilling the knowledge from self-supervised model· Springer Nature (New York, US) - Reviewer - 4 July, 2024 - 24 July, 2024 - SNCS-D-24-05366 - Original Research - Developed a Machine Learning and Deep Learning Model for 5G MIMO Data Based Beam Selection and Intelligent Network Analytics· Springer Nature (New York, US) - Reviewer - 21 June, 2024 - 16 July, 2024 - SNCS-D-24-03123 - Original Research - Detection of Stuttered Speech with Repetition using Wavelet Packet Transformation and Neuro Fuzzy Classifier]