Principal AI Engineer | Generative AI & LLM Engineering Lead
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As a Data Scientist with over eight years of experience in the field, I specialize in designing and deploying sophisticated machine learning models to solve high-stakes business challenges. My recent work focuses on the cutting edge of AI, including fine-tuning Large Language Models (LLMs), implementing Retrieval-Augmented Generation (RAG), and developing agent-based architectures to create intelligent, autonomous solutions.
Universiti Teknologi Malaysia
Master's degree, Computer Science
January 1, 2012 – January 1, 2014
Precisely
Principal AI Engineer
January 1, 2026 – Present
Remote
EPAM Systems
Senior Data Scientist
July 1, 2022 – November 1, 2025
Canada · Remote
AltaML
Machine Learning Developer
October 1, 2017 – July 1, 2022
Greater Edmonton Metropolitan Area
Universiti Teknologi Malaysia
Research Assistant (Application Development)
January 1, 2014 – October 1, 2015
Johor, Malaysia
Deploying Scalable Machine Learning for Data Science
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Introduction to Terraform on Azure
June 24, 2026 – Present
Sequences, Time Series and Prediction
DeepLearning.AI
June 24, 2026 – Present
NLP with Python for Machine Learning Essential Training
June 24, 2026 – Present
Convolutional Neural Networks
DeepLearning.AI
June 24, 2026 – Present
Structuring Machine Learning Projects
DeepLearning.AI
June 24, 2026 – Present
Scrum Master Certified (SMC)
Scrum.org
June 24, 2026 – Present
Time Series Analysis
Udemy
June 24, 2026 – Present
Deployment of Machine Learning Models
Udemy
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
DeepLearning.AI
June 24, 2026 – Present
Docker
Udemy
June 24, 2026 – Present
Databricks Certified Generative AI Engineer Associate
Databricks
June 24, 2026 – Present
Advanced NLP with Python for Machine Learning
June 24, 2026 – Present
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 24, 2026 – Present
Neural Networks and Deep Learning
DeepLearning.AI
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a clear focus on Machine Learning and AI, aligning well with an ML Engineer role. The diversity of certifications across different platforms (Coursera, LinkedIn, DeepLearning.AI, Udemy, Microsoft, Databricks) indicates a proactive and adaptable learning approach. However, the lack of detailed project descriptions makes it challenging to assess specific contributions to team environments or alignment with particular company cultures beyond a general technical fit.
Soft Skills & Operational Fit
The resume provides limited information on soft skills. Operational fit appears strong given the progression through various ML-focused roles and certifications in areas like Scrum Master, suggesting an understanding of project methodologies. However, without specific project descriptions, it's difficult to assess collaboration and problem-solving in detail.