Welcome to my profile! With a rich tapestry of experiences woven through academia and industry, I'm a seasoned professional in proofreading, academic content writing, and a specialist in the fascinating domains of simulations and algorithm development, particularly in artificial intelligence and computer vision.
⚫ Academic Writing
★Research Proposal
★Literature Review
★Research Paper
★Thesis Writing
★Dissertations
⚫ Research interests
★ Algorithms, Artificial Intelligence, Machine learning, Deep learning, Computer Vision, IoT, Cyber Security, Federated Learning, Deep Fake, Reinforcement Learning, AutoML, GANs, BERT, Generators, CNN, RNN, LSTM
★ Computer Science (DB, Networking, OS, OOP, RE, SPM, SE, DLD, DSP )
★ Engineering, Mechanical and Electronics Engineering (Robotics).
★ Mathematics
★ Statistics
⚫ Data Science
★ Machine Learning and Deep Learning: Python, Jupyter, TensorFlow, Keras, NumPy, MATLAB and Colab.
★ Statistics Analysis (SPSS/Excel/Minitab/Weka/R Programming)
★ Data Visualization (Excel, Power BI, Tableau)
★ Big Data (Hadoop/Spark/SQL/Cloud)
My journey commenced as a University Lecturer, laying the groundwork for a diverse career path. Pursuing my PhD studies, I assumed the role of a CV/AI Researcher, delving deeply into the realms of computer vision and artificial intelligence at a reputable university.
My expertise lies in crafting algorithms and simulations, bolstered by a robust command of programming languages such as Python, C++, MATLAB, Verilog, VHDL, and Java.
During my tenure as a Computer Vision Engineer in industry, I actively applied AI and computer vision to innovative projects. Simultaneously, I've devoted myself to nurturing budding talents within the academic sphere.
Venturing into Australia, I found my calling as an educator at a University, where I continue to impart knowledge and insights to aspiring IT and engineering professionals.
My passion revolves around crafting new algorithms for image quality assessment and perceptual image reconstruction, integrating these solutions into real-world applications of computer vision.
The culmination of my academic journey was marked by a PhD in Computing, focusing on visual perception's transformative applications in image processing. To complement these achievements, I've earned certifications in TensorFlow, Computer Vision Basics, and Social & Behavioral Research, underlining my dedication to continuous learning.
My contributions are evidenced through publication of numerous research papers on esteemed platforms. Further, I've been honored with a Gold Medal and a PhD Studentship, a testament to my commitment to excellence in the field.
With a career characterized by seamless transitions between academia and industry, I'm poised to drive innovation, facilitate learning, and make impactful contributions to the dynamic field of computer science.
Join me as we explore the boundless possibilities at the intersection of technology and innovation!
