Hello, I'm

Danial Azmi

Data Scientist & AI Engineer

I build scalable AI solutions, architect data platforms, and create production-grade systems that drive business impact using data.

Petaling Jaya, Selangor, Malaysia

github.com/danialazmie linkedin.com/in/danial-azmi danial.azmiee@gmail.com

01 About

Data Scientist with expertise across the full data stack — from designing robust data platforms to ML models and GenAI applications. I build scalable AI solutions, architect data platforms, and create production-grade systems that drive business impact through data-driven insights and decision making. I transform complex technical challenges into business impact by bridging the gap between sophisticated AI/ML systems and organisational needs.

2017 – 2021 Multimedia University Cyberjaya, Selangor Bachelor of Computer Science with Specialisation in Data Science Scholar of Yayasan Telekom Malaysia

02 Work History

09/2025 – Present Kuala Lumpur

Data Scientist

Tupai AI (AI Teacher Sdn. Bhd.)
  • Managed the analytical data stack including the data warehouse, pipelines, and BI tools using Fivetran, BigQuery, dbt, PostHog and Metabase.
  • Refactored and restructured the data stack on BigQuery, dbt and Fivetran to follow medallion architecture.
  • Developed a Bayesian-based recommendation system to create a customised learning plan for students.
  • Created an AI Agent + MCP servers using Gemini, Haystack and FastAPI that serves internally as a Data Analyst, interacting with Metabase, PostHog and BigQuery.
09/2023 – 09/2025 Kuala Lumpur

Data Scientist

REV Media Group
  • Developed end-to-end question-answering chatbot with RAG deployed via Python, GCP, FastAPI, and Haystack, enhancing customer engagement across multiple channels.
  • Introduced CI/CD tools and best practices, significantly streamlining the development lifecycle.
  • Migrated on-premise ML models to GCP for better monitoring and observability.
  • Developed a geo-locational hyper-personalisation recommendation engine, driving substantial increase in organic user engagement.
02/2023 – 09/2023 Kuala Lumpur

Data Science Consultant

DataMicron Systems Sdn. Bhd.
  • Spearheaded research and POCs to identify and validate AI/ML business use cases.
  • Directly communicated with clients to identify challenges and propose AI/ML solutions addressing their complex problems.
  • Oversaw end-to-end project life cycles from model development and deployment to post-launch maintenance.
03/2022 – 12/2022 Kuala Lumpur

Data Scientist

MoneyLion Malaysia Sdn. Bhd.
  • Involved in migrating team's ETL pipelines in Airflow and dbt from AWS to Snowflake.
  • Designed, executed and monitored numerous A/B testing experiments to enhance NLU model performance and reduce operational costs.
  • Conducted in-depth analysis of unstructured text data, identifying topics, pain points, and quantifying metrics.
  • Created interactive analytical dashboards to support stakeholders in making data-driven strategic decisions.
03/2021 – 06/2021 Johor Bahru

Web Developer & Software QA Tester (Intern)

Funai Malaysia R&D Sdn. Bhd.
  • Performed maintenance and evolution for an internal web-based management and testing system using the Django framework.
  • Worked with a team performing QA testing for their software product on Android TVs.

03 Projects

AI Analyst Agent (MCP)

Internal AI Data Analyst built with Gemini, Haystack, FastAPI and MCP servers. Allows team members to query Metabase dashboards, PostHog analytics, and BigQuery via natural language.

Gemini Haystack FastAPI MCP BigQuery PostHog

RAG Question-Answering Chatbot

End-to-end production chatbot using Retrieval-Augmented Generation for a major Malaysian media group. Deployed on GCP with FastAPI and Haystack, serving customer queries across multiple digital channels.

RAG Haystack FastAPI GCP Python

Adaptive Learning Recommender

Personalised learning plan generator for an edtech platform. Uses a Bayesian-based recommendation model to adaptively sequence content based on student performance and learning history.

Python Bayesian ML BigQuery dbt

Geo-Localised Recommendation Engine

Hyper-personalisation recommendation engine that combines user geo-location signals with behavioural data to drive organic article engagement across media properties.

Python GCP Recommendation Systems BigQuery
View all 12 projects →

04 Skills

Languages
Python SQL JavaScript Bash
AI / ML
LLMs RAG GenAI Machine Learning NLP MLOps Haystack LangChain Hugging Face TensorFlow Scikit-learn Pinecone Chroma DB PyTorch
Data Eng.
dbt BigQuery Airflow Fivetran Snowflake Pandas Metabase PostHog Redshift
Cloud
GCP AWS Azure
Tools & Infra
FastAPI Docker Kubernetes KubeFlow Nginx Git CI/CD Matplotlib

05 Contact

Open to interesting problems. Reach me via any of the channels below.

GitHub github.com/danialazmie LinkedIn linkedin.com/in/danial-azmi Email danial.azmiee@gmail.com