About me

Professional Profile

​I am an accomplished AI and Data professional with over 3 years of experience bridging the gap between technical engineering and operational leadership. Currently completing a Master of Science in Artificial Intelligence, I specialize in Natural Language Processing (NLP), Physics-Informed Machine Learning (PIML), and automated quality control architectures . My background is defined by a unique ability to lead large-scale teams, managing 50+ analysts, while simultaneously architecting hands-on technical solutions using Python, SQL, and AWS Lambda .

​Specialized AI & Research Expertise

​My current research focuses on the intersection of deep learning and financial analytics. For my Master's thesis, I am developing a joint architecture for Named Entity Recognition (NER) and Sentiment Analysis, specifically training a deep learning model (SEDH-ADA) to process complex financial texts.

​Beyond my thesis, I have actively applied advanced methodologies to diverse problems:

• ​Genetic Algorithms: Recently developed and optimized genetic algorithms to solve complex Vehicle and Technician Routing Problems, focusing on performance optimization across multiple test cases.
• Computer Vision & Biometrics: Worked on a Fingerprint Alteration Detection System, designing demonstration strategies to identify tampered biometric data.
• Agricultural AI: Served as a Research Assistant for an "AI-Powered Intelligent Farm Management" project, where I analyzed large-scale agricultural datasets and assisted in reformatting research on "Pumpkin Leaf disease detection" for journal publication .

​Operational Leadership & Engineering

​Previously, as a Lead Quality Control Data Analyst at Dauntless Discovery International, I led a team of 51 analysts, achieving a 25% improvement in quality and a 30% increase in turnaround speed . I did not just manage the team; I engineered the tools that made them successful:

• ​Automation: Built an end-to-end validation architecture using AWS Lambda and Python to automate "air gap" staging.
• Data Integrity: Implemented SHA-256 verification to ensure 100% chain-of-custody and created immutable audit logs .
• ​Efficiency: Developed Python-Dask and VBA workflows that saved over 15 hours of manual work weekly .

​Most recently, I served as a Subject Matter Expert (Contract) for Turing, where I evaluated LLM performance (specifically Google's Gemini models) across STEM subjects, implementing Reward Learning from Human Feedback (RLHF) to enhance educational accuracy .

​Technical Skills

• ​Core: Python (pandas, NumPy, Scikit-learn, TensorFlow), SQL, AWS (Lambda, EC2).
• Visualization: Tableau, Power BI, Node.js dashboards.
• ​Domains: NLP (Sentiment Analysis, NER), Genetic Algorithms, Predictive Modeling.

​Availability & Relocation

​I am currently based in Malaysia with a student visa valid until May 2026. I am actively seeking opportunities in Malaysia, Singapore, UAE, Thailand, or New Zealand. I am available for immediate interviews and ready to bring my blend of research rigor and operational efficiency to a forward-thinking data team.