Muhammad Husni Wahab
Data Science & Machine Learning Lead
Kuala Lumpur,14
Summary
Results-driven and accomplished Machine Learning & Full-stack AI Engineer, deeply committed to the delivery of impactful analytics solutions through the synergy of data and AI. I thrive on collaborative teamwork and excel at leading dynamic teams to go beyond their potential. With a proven track record in software development, I am adept at building using various frameworks and architectures.
Overview
11
11
years of professional experience
6
6
years of post-secondary education
3
3
Certifications
Work History
Data Science & Machine Learning Lead
GNT, Telekom Malaysia
04.2023 - Current
- Formulated TM's Network division's cloud analytics blueprint utilizing Microsoft Azure
- Migrated on-prem machine learning workloads for production into Azure Machine Learning.
- Engineered automated data visualization platform using LLM Agents (AutoGen) to streamline data interpretation and decision-making
- Pioneered RAG application for Troubleshooting Manual of Network Elements using Azure OpenAI APIs, Chroma DB & Langchain
- Led analytics solution high level design (HLD) and Low Level Design (LLD) development
- Led creation and implementation of autonomous forecasting platform using cutting-edge Transformer models
- Spearheaded establishment of diverse Computer Vision model repository containing over 15 computer vision models for GNT use cases, driving innovation and efficiency
- Mentored and empowered junior data scientists and full-stack web developers, fostering a collaborative and high-achieving team culture.
Sr. Data Scientist, Field Team Ops
GNT, Telekom Malaysia
09.2022 - 03.2023
- Optimized and fine-tuned YOLOv8 Computer Vision models for CCTV object tracking within TM warehouses, enhancing surveillance capabilities.
- Architected and deployed real-time backend inference service for more than 5 computer vision models on a single GPU using NVIDIA's Triton Server, reducing compute requirements and VM costs.
- Innovated a Streamlit-based web app for precise materials procurement forecasting, effectively mitigating shortage and oversupply issues in TM warehouses
Data Scientist, Field Team Ops
GNT, Telekom Malaysia
01.2021 - 08.2022
- Developed a real-time image-segmentation and detection engine using Mask R-CNN and Faster R-CNN in PyTorch, automating workmanship audits for Unifi installers and repairers. Reduced manual process and increased productivity by 90%.
- Deployed the engine as a REST API service using FastAPI for Unifi field service team app consumption
- Incorporated an active learning module to enhance system accuracy in production and led a team of two junior ML engineers to build and deploy additional detection models for the service app, earning the project the TM 'GCEO Group Awards' for Q1 2023
- Established ML Flow (MLOps) for model tracking and automatic retraining, enhancing overall efficiency in model management
- Led the development and deployment of a forecasting dashboard predicting regional team manpower shortages, utilizing Python (Prophet forecasting library) and PowerBI for visualization
- Successfully implemented a predictive customer trouble ticket engine using XG Boost, resulting in increased NPS and earning the project the prestigious Internal GCEO 'Ini Cara Kita' award for 2021
Data Engineer, Fulfilment Information Systems
TM Global, Telekom Malaysia
07.2020 - 12.2020
- Collaborated seamlessly with divisional business units to capture and synthesize data requirements
- Engineered and optimized SQL scripts, facilitating the seamless ingestion of data from OSS and BSS into our data lakes
- Spearheaded the setup of robust ETL pipelines, seamlessly integrating diverse data sources into the Cloudera datalake for enhanced assurance and accessibility.
Full-stack Web Developer
TM Global, Telekom Malaysia
07.2019 - 06.2020
- Engineered a self-service troubleshooting progressive web app, Unifi's 'Easyfix,' using React and Gatsby, integrating Elastic Search for enhanced in-app search capabilities
- Developed a centralized web portal for TM partner's internet capacity and pricing information with React and DynamoDB
- Efficiently deployed on AWS using the Vercel Serverless framework
- Led the creation of the TM Americas portal, incorporating a dynamic pricing mechanism with Vue/Nuxt.js and AWS Serverless framework
- Provided essential training on AWS serverless backend to a new development team
- Conducted impactful programming and front-end classes for junior developers, contributing significantly to skill enhancement and team proficiency.
Project Manager
TM Global & Wholesale, Telekom Malaysia
05.2013 - 06.2019
- Involved in the development of technical specification and Supply Contracts for transpacific and transatlantic cable systems.
- Co-chair of the technical working group for SKR1M national cable system
- Led technical audits and UAT of vendor upgrade equipment on behalf of AAG consortium
- Develop business case and financial analysis for Submarine Cable Projects within Asia, Europe and US Regions
- Involved in the development of Investment Model and Construction & Maintenance Agreement (C&MA) for various submarine cable consortiums.
Education
Master of Philosophy - MPhil - Computer Science
University College London
03.2008 - 05.2013
Master of Science - MSc - Electrical and Electronics Engineering
University of Glasgow
10.2006 - 05.2007
Bachelor of Science - BSc - Electrical, Electronics and Communications Engineering
Carnegie Mellon University
09.2001 - 05.2005
Generative AI with Large Language Models - undefined
Deeplearning.AI
01.2024 - 04.2024
Building and Evaluating Advanced RAG Applications - undefined
DeepLearning.AI
12.2023 - 05.2023
Functions, Tools and Agents with LangChain - undefined
DeepLearning.AI
11.2023 - 05.2023
Vector Databases: from Embeddings to Applications - undefined
DeepLearning.AI
11.2023 - 05.2023
Introduction to Langchain - undefined
Udemy
11.2023 - 05.2023
Reinforcement Learning from Human Feedback - undefined
DeepLearning.AI
10.2023 - 05.2023
Evaluating and Debugging Generative AI Models Using Weights and Biases - undefined
DeepLearning.AI
10.2023 - 05.2023
How Diffusion Models Work - undefined
DeepLearning.AI
10.2023 - 05.2023
Large Language Models with Semantic Search - undefined
DeepLearning.AI
10.2023 - 05.2023
Finetuning Large Language Models - undefined
DeepLearning.AI
09.2023 - 05.2023
Building Systems with the ChatGPT API - undefined
DeepLearning.AI
07.2023 - 05.2023
LangChain for LLM Application Development - undefined
DeepLearning.AI
07.2023 - 05.2023
ChatGPT Prompt Engineering for Developers - undefined
DeepLearning.AI
06.2023 - 05.2023
Fundamentals of Machine Learning - undefined
Carnegie Mellon University
03.2021 - 05.2021
Skills
Malay
Computer Vision
Cloud Analytics
Time Series Forecasting
Data Science
Python
Advanced Analytics
Predictive Modelling
Javascript
Communication & Presentation Skills
Leadership
Communication Skills
English
Malay
Multi-Modal Generative AI
Certification
Microsoft Azure Data Scientist Associate, 01/2024
Timeline
Generative AI with Large Language Models - undefined
Deeplearning.AI
01.2024 - 04.2024
Building and Evaluating Advanced RAG Applications - undefined
DeepLearning.AI
12.2023 - 05.2023
Functions, Tools and Agents with LangChain - undefined
DeepLearning.AI
11.2023 - 05.2023
Vector Databases: from Embeddings to Applications - undefined
DeepLearning.AI
11.2023 - 05.2023
Introduction to Langchain - undefined
Udemy
11.2023 - 05.2023
Reinforcement Learning from Human Feedback - undefined
DeepLearning.AI
10.2023 - 05.2023
Evaluating and Debugging Generative AI Models Using Weights and Biases - undefined
DeepLearning.AI
10.2023 - 05.2023
How Diffusion Models Work - undefined
DeepLearning.AI
10.2023 - 05.2023
Large Language Models with Semantic Search - undefined
DeepLearning.AI
10.2023 - 05.2023
Finetuning Large Language Models - undefined
DeepLearning.AI
09.2023 - 05.2023
Building Systems with the ChatGPT API - undefined
DeepLearning.AI
07.2023 - 05.2023
LangChain for LLM Application Development - undefined
DeepLearning.AI
07.2023 - 05.2023
ChatGPT Prompt Engineering for Developers - undefined
DeepLearning.AI
06.2023 - 05.2023
Data Science & Machine Learning Lead
GNT, Telekom Malaysia
04.2023 - Current
Sr. Data Scientist, Field Team Ops
GNT, Telekom Malaysia
09.2022 - 03.2023
Fundamentals of Machine Learning - undefined
Carnegie Mellon University
03.2021 - 05.2021
Data Scientist, Field Team Ops
GNT, Telekom Malaysia
01.2021 - 08.2022
Data Engineer, Fulfilment Information Systems
TM Global, Telekom Malaysia
07.2020 - 12.2020
Full-stack Web Developer
TM Global, Telekom Malaysia
07.2019 - 06.2020
Project Manager
TM Global & Wholesale, Telekom Malaysia
05.2013 - 06.2019
Master of Philosophy - MPhil - Computer Science
University College London
03.2008 - 05.2013
Master of Science - MSc - Electrical and Electronics Engineering
University of Glasgow
10.2006 - 05.2007
Bachelor of Science - BSc - Electrical, Electronics and Communications Engineering
Carnegie Mellon University
09.2001 - 05.2005