Professional Overview
As a fresh graduate with a Bachelor of Computer Science specializing in Artificial Intelligence from Multimedia University, I am deeply passionate about harnessing AI to tackle real-world challenges and drive innovation. My academic journey, coupled with practical experience during my internship at Baud Telecom Company, has provided me with a solid foundation in AI and its diverse applications.I have honed my expertise in programming languages like Python, Java, and C++, along with frameworks such as Flask and Flutter. My focus on AI-driven solutions is evident in academic projects spanning natural language processing, computer vision, and cloud computing. Whether building models to enhance decision-making or creating intelligent systems that optimize workflows, I thrive on exploring cutting-edge AI technologies.Graduating with honors and maintaining a 3.67 GPA reflects my dedication to excellence. I have also pursued certifications in SQL and Data Analysis to further enhance my ability to work with data-intensive projects. My hands-on internship experience allowed me to implement AI-based solutions, visualize data for decision-making, and optimize processes with a user-centric approach.Looking forward, I am eager to immerse myself in AI-focused roles where I can contribute to groundbreaking projects in machine learning, deep learning, and data-driven technologies. I am particularly interested in roles that involve AI model development, predictive analytics, or innovation in computer vision and NLP.I am excited to collaborate with forward-thinking professionals, push the boundaries of AI, and make a meaningful impact in advancing technology. Let’s connect to explore how my skills and passion for AI can add value to your team or project!
Areas of Expertise
computer vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
