
Validated proficiency in leveraging Gemini AI tools for academic excellence and professional readiness. Demonstrated skills in advanced prompt engineering, ethical AI implementation, and utilizing NotebookLM and Gemini for complex research synthesis, data privacy management, and critical evaluation of AI-generated content.

Validates an overall understanding of the AWS Cloud platform, covering core cloud concepts, security, compliance, technology, and billing. Demonstrates the ability to identify AWS services for various workloads and understand the shared responsibility model for secure cloud operations.

Validates in-demand knowledge of artificial intelligence (AI), machine learning (ML), and generative AI concepts and use cases. Earners can determine the correct types of AI/ML technologies to apply to specific scenarios and know how to use them securely and responsibly on the AWS Cloud.

Selected for the AWS AI & ML Scholarship program challenge, covering foundational concepts in generative AI, machine learning workflows, and the ethical implications of AI. The program involves hands-on training with AWS services to build, train, and deploy machine learning models.

Participated in KitaHack 2025, developing the SDG Awareness & Action App - a mobile application that educates users about the UN's 17 Sustainable Development Goals through interactive content, daily tips, and quizzes. Features personalized learning experiences, social networking capabilities, gamification elements with progress tracking and leaderboards, and enables users to create and participate in SDG-related community activities.

Validates comprehensive knowledge of artificial intelligence, covering essential mathematics, Python programming, and core machine learning and deep learning algorithms. This certification demonstrates proficiency in utilizing mainstream AI frameworks to design, train and deploy intelligent models. Earners are equipped to implement AI solutions across various industry scenarios and possess a strong understanding of full-stack, all-scenario AI strategies. Certificate ID: 010102001495810418131409.

Participated in the AI Exploration Workshop organized by MOSTI at UTeM. The program covered the Generative AI application lifecycle, LLMOps, and Retrieval Augmented Generation (RAG). Gained hands-on experience in prompt engineering, building text generation applications, and developing RAG search apps using vector databases.

35-hour foundational C# training by Microsoft covering core concepts, syntax, and practical coding. Includes interactive exercises and an 80-question exam by freeCodeCamp. Ideal for beginners to build essential C# programming skills.

Game-based learning experience covering hands-on generative AI implementations using AWS services. Mastered foundation models (FMs), Amazon Bedrock, Amazon Q, Amazon SageMaker, prompt engineering, RAG implementation, and AI solution architecture through interactive virtual city scenarios.

Awarded for completing the AWS Cloud Quest Cloud Practitioner training, this badge validates foundational AWS cloud skills acquired through an immersive 3D role-playing game environment. Earners demonstrate knowledge of AWS compute, networking, database, and security services by completing hands-on assignments in a live AWS environment. This gamified training builds practical cloud skills and prepares learners with basic solution-building capabilities on the AWS Cloud.

Comprehensive 12-hour program covering fundamental concepts, tools, and applications of Generative AI on AWS Cloud. Explored AI/ML basics, neural networks, generative techniques, responsible AI practices, model selection, and real-world use cases for generative AI implementation.

Foundational course introducing AI and ML concepts, terminology, and AWS ML services. Gained hands-on experience labeling, building, training, and deploying custom ML models. Learned to select and apply ML services to resolve business problems through 20 hours of lectures, labs, and projects.

Intermediate 20-hour course focusing on NLP applications using AWS services. Mastered text extraction, sentiment analysis, topic modeling with Amazon Comprehend, multimedia transcription and translation, and generative AI with LLMs. Built comprehensive solutions combining algorithms and AWS ML services.

Participated in KitaHack 2025, developing the SDG Awareness & Action App - a mobile application that educates users about the UN's 17 Sustainable Development Goals through interactive content, daily tips, and quizzes. Features personalized learning experiences, social networking capabilities, gamification elements with progress tracking and leaderboards, and enables users to create and participate in SDG-related community activities.

Introductory skill badge demonstrating proficiency in extracting, processing, and capturing data using Document AI. Learned to create document processing pipelines, work with optical character recognition, automate data extraction workflows, and build scalable document processing solutions at enterprise scale.

Skill badge validating knowledge in migrating and building infrastructure on Google Cloud for professionals with AWS experience. Covered VPC networking, Compute Engine, Cloud Storage, IAM, load balancing, and comparative understanding of GCP services mapped to AWS equivalents.

Skill badge demonstrating hands-on experience with Google Cloud Speech API through three different implementation methods. Mastered speech-to-text conversion, real-time transcription, audio file processing, and integration of Cloud Speech API into applications using various programming approaches.

Skill badge validating expertise in preparing and preprocessing data for machine learning APIs on Google Cloud. Covered data cleaning, transformation, feature engineering, Cloud Storage integration, and optimizing data formats for Vision API, Natural Language API, and other ML services.

Intermediate skill badge demonstrating ability to create and evaluate machine learning models using BigQuery ML. Mastered building classification, regression, and forecasting models directly in BigQuery using SQL, model evaluation techniques, and making data-driven predictions at scale.

Skill badge validating advanced data engineering techniques for predictive modeling in BigQuery ML. Covered feature engineering, data transformation pipelines, handling missing data, creating training and evaluation datasets, and optimizing data structures for machine learning workflows.

Skill badge demonstrating proficiency in using pre-trained machine learning APIs on Google Cloud. Gained hands-on experience with Vision API, Natural Language API, Speech-to-Text API, Translation API, and Video Intelligence API for solving real-world business problems.

Foundational skill badge focused on prompt engineering, image analysis, and multimodal generative techniques within Vertex AI. Learned to craft effective prompts, guide generative AI output, apply Gemini models to real-world scenarios, and use zero-shot, few-shot, and chain-of-thought techniques.

Comprehensive AI and Machine Learning certification pathway covering generative AI development, Vertex AI implementations, BigQuery ML, Document AI automation, and cloud infrastructure. Includes hands-on experience with Gemini models, Feature Engineering, ML APIs, and advanced AI application development across Google Cloud ecosystem.

Achieved Finalist position in the JCI Pitching Competition. Presented an innovative AI-driven traffic management solution designed to optimize urban mobility and reduce congestion using real-time data analytics.

Achieved Top 12 Finalist status among nationwide participants. Developed "EaSys," a business analytics platform utilizing Model Context Protocol (MCP) and Google Gemini to automate enterprise workflows. Recognized for innovative use of hybrid microservices and real-time AI-driven data aggregation.

Participated in dEVMatch Hackathon 2025, focusing on blockchain and cryptocurrency solutions. Developed innovative decentralized applications and demonstrated proficiency in Web3 technologies, smart contract development, and blockchain integration.

Awarded Gold Prize for developing "AI Evaluator," an end-to-end judging platform. Built an automated evaluation pipeline using an ensemble of LLMs (OpenAI, Gemini, Claude) to ingest submissions and output consensus-driven scorecards, reducing outlier bias by 25% compared to manual review.

Won Gold Prize for "EcoPlate," a Flutter-based mobile application aimed at reducing household food waste. Integrated Google Cloud Vision API for barcode scanning and a "Local-First" database strategy to ensure functionality in low-connectivity environments.

Comprehensive introduction to AI and machine learning offerings on Google Cloud for building both predictive and generative AI projects. Covers data-to-AI lifecycle, AI foundations, development tools, and practical hands-on exercises with Vertex AI.

Comprehensive overview of machine learning fundamentals including supervised and unsupervised learning, data preprocessing, feature engineering, and practical applications across different industries. Covers essential algorithms like linear regression, decision trees, clustering, and classification.

Foundational course covering blockchain technology fundamentals, cryptocurrency concepts, and Non-Fungible Tokens (NFTs). Explores the technology supporting crypto-assets and understanding differences between blockchain, cryptocurrency, and NFTs for portfolio decision-making.

Developed "GuiltSphere-AI," a passive-aggressive financial agent designed to eliminate mindless spending through emotional damage and chaotic positive reinforcement. Built a multi-modal pipeline using Gemini 1.5 Flash to OCR receipts and categorize expenses into "Vices" or "Virtues." Features an Agentic RAG framework that tracks spending patterns over time to generate daily "Guilt Scores," delivering roasts in the persona of a Victorian Orphan or a Disappointed Parent, while celebrating smart financial wins with high-energy "Hype Man" praise. Implemented a "Tsundere" feedback loop to ensure the experience remains fun and engaging rather than just judgmental.

Participated in KitaHack 2025, developing the SDG Awareness & Action App - a mobile application that educates users about the UN's 17 Sustainable Development Goals through interactive content, daily tips, and quizzes. Features personalized learning experiences, social networking capabilities, gamification elements with progress tracking and leaderboards, and enables users to create and participate in SDG-related community activities.

Participated in Deriv AI Hackathon, focusing on artificial intelligence solutions for financial trading and forex markets. Developed innovative AI-powered trading algorithms and financial analysis tools, demonstrating expertise in machine learning applications for fintech, algorithmic trading, and financial data analysis.

Foundational course covering AWS cloud computing concepts, economics and billing, global infrastructure, security and compliance, networking, computing alternatives, storage options, database services, and cloud architectural design principles.

Achieved Top 8 Finalist position in CodeNection 2024, a prestigious coding competition organized by IT Society Cyberjaya. Demonstrated exceptional programming skills, problem-solving abilities, and competitive coding expertise among hundreds of participants.

Professional certification validating proficiency in Python data acquisition, cleaning, manipulation, modeling, analysis, and visualization techniques. Covers decision-making under uncertainty, predictive modeling, and practical use of NumPy, Pandas, Matplotlib, Seaborn, and Scikit-Learn libraries.

Comprehensive certification covering Google Analytics fundamentals, including data collection, configuration, and analysis. Demonstrates proficiency in creating reports, understanding audience behavior, measuring marketing effectiveness, and making data-driven decisions to optimize digital marketing strategies.

Participated in dEVMatch Hackathon 2024, focusing on blockchain and cryptocurrency solutions. Developed innovative decentralized applications and demonstrated proficiency in Web3 technologies, smart contract development, and blockchain integration.

Completed Google Workspace Hackathon 2024, developing innovative solutions using Google Workspace APIs and tools. Created applications that enhance productivity and collaboration through Google Apps Script, Gmail, Drive, and other Workspace services.