Avanade

• Involved in the backend team for Gen AI project by developing and supporting the LLM application pipelines to provide reliable citations and responses in the Chat Service which utilizes Python, Azure OpenAI, Databricks, Azure Data Factory and Azure Cognitive Search.
• Contributed to delivering end-to-end development and deployment of ETL pipelines in client's project that uses Databricks and Azure Data Factory, enabling seamless data integration and transformation across diverse sources, including API, SQL Databases and JSON formats, while ensuring error-free ingestion.
• Collaborated closely with data engineers and analysts to comprehend data requirements, facilitating the implementation of tailored data transformations to support specific analytical needs.
• Supported the construction and maintenance of a comprehensive knowledge graph and ontology to assist in advanced data analytics and information retrieval.
• Leveraging Python in Databricks to perform extraction and transformation on the knowledge graph nodes using NLP normalization techniques for efficient pre-processing, while leveraging Neo4j's capabilities like Levenshtein Distance to model relationships between entities for sophisticated querying and insights.

Senior Analyst, Advanced Analytics

TheLorry

• Actively involved in building TheLorry Route Optimization (RO) engine which helps optimize the last-mile distribution route of 200+ driver-partners by reducing driver’s travel time by up to 35% monthly.
• Initiated prototype AI/ML solutions for the logistics domain which involves optimizing delivery performance, warehouse, and dimension weight measurement which simulated to save up to 20% time and operation costs.
• Contributed to building production TheLorry mail server as a centralized mailing service that integrated with 10+ internal products/APIs and enables tracking of receiver events based on the sent emails.
• Managed a process re-engineering project to improve and consolidate end-to-end Supply Chain Services (SCS) billing processes; established 20+ python automation processes and cut-down reporting time by 95%.
• Led data team software development products by implementing industry-standard version control, automated unit testing, and structured CI/CD pipelines to reduce deployment time by 83%.
• Successfully delivered 10+ production-level code quality APIs and Web Applications to the AWS dedicated cloud compute, fully managed orchestration services and serverless computing platform.
• Enhanced visibility and transparency of employees’ quarterly performance scores by developing an OKR system that monitored 170+ employees’ performance in 4 countries. 
• Created event-driven ETL pipelines to push data near real-time from Amazon RDS to Google BigQuery which improved reporting query speed up to 70x.
• Reduced AWS operation costs by up to 20% by doing monthly cost optimization analysis on the existing software deployment architecture.

Machine Learning Engineer

• Developed an address parser using text analytics approach and cost-optimized in-house geocoding service, resulting in a reduction of 27% in Google Cloud Platform (GCP) service cost.
• Conducted necessary data feature selection for reporting and assisted the data department in developing automation processes to improve reporting speed up to 90x.
• Implemented NLP processing in the reporting system to dynamically transform, normalize and standardize reports, resulting in 99% bug-free report generation.
• Deployed a Finance Billing Reporting App that enable stakeholders to generate SCS billing reports, resulting in 99% human error-free and cutting down disputes amount appointed by the clients by 30%.

Data Science Intern

Universiti Malaysia Terengganu

• Built a customized and rule-based Malay Part-Of-Speech (POS) tagging algorithm that can detect up to more than 20 types of tagging using Python.
• Re-engineered the Malay POS methodology and algorithm process flow based on existing research papers and performed a comparative analysis including the performance measure on these algorithms.
• Involved in building a Malay ontology algorithm that comprises POS tagging and word relation rule, word taxonomy, attributes relationship, and document similarity to process up to 100+ Malay news articles.

NLP Researcher

National University of Malaysia (UKM)

•	Managed a project on The Improvement of Stress Level Detection in Twitter: Imbalance Classification Using SMOTE.
•	Executed twitter data extraction related to mental health using Twitter API and performed text normalization on highly unstructured tweet data.
•	Built ML Pipelines that involved text pre-processing, text representation, text augmentation and classification to process normalized tweets.
•	Run comparative study on Naïve Bayes and Support Vector Machine (SVM) towards imbalanced labeled data with combinations of different word vectorization techniques such as Word Vector, Lemma, TF-IDF, Bag of Words, and N-Gram.

Data Science Research Assistant

Ziemans Solutions

• Spearheaded an android game development with only 6 months from requirements gathering to production.
• Published “Goolee” Android App on Google Play Store and gained 1000+ downloads in the first year.
• Embedding Google Game Services into the game to keep track of user's achievement and leaderboards.
• Monitor the app statistics through Google Play Console.

Android Game Developer

Freelance

•	Designed 3+ websites using WordPress and led Digital Marketing related tasks specifically in SEO that enforce higher product visibility in Google Search Engine.
 •	Managed to complete the task/project given within the given timeline and budget.

Web Developer 

Myxlab Solutions PLT

• Responsible for maintaining UKM Explorer Application which is a Virtual Reality (VR) tour application for UKM Students. 
• Learned and practiced the application of VR in mobile application development using Android Studio Software.

Mobile Application Developer

• Involved in all phases of UI Development and Prototyping (Paper Prototyping, UI Design, Wireframe, High Fidelity Prototyping using Prototyping Tools)
• Led the UI Team to complete the task based on the given timeline. 
• Building AR/VR Application
• Android App Development

AR/VR and UI/UX Intern

Python | Data Science | Machine Learning 

Aiming to leverage Data Science and Software Engineering skills by developing and improving machine learning models, practicing the Modern CI/CD Pipeline, integrating cloud computing services for AI & Data Science-related API/Web Development, automating unit/Integration Testing and containerizing services.

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