Former Oil & Gas Operations & Process Safety practitioner turned Data & AI Professional
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Feb 2025 - Present
Responsible as a Technical advisor as well as an implementation resource for the implementation of AI & Machine Learning features into digital products/solutions.
Jun 2023 - Feb 2025
Managing a multinational team of AI & ML engineers in designing scalable AI solutions, serving as Solution Architect for rapid MVP development and RFP responses.
Oct 2022 - Jun 2023
Leading a multinational team in developing autonomous workplace safety solutions using computer vision, enhancing safety monitoring capabilities.
Jan 2019 - Oct 2022
Leveraged data science and software development skills to create machine learning & AI models to augment routine safety processes and requests.
Sept 2015 - Jan 2019
Leveraged software development skills to create simple desktop applications to streamline routine task and processes.
Development of a platform that simulates real-time data scenarios allowing aspiring data practitioners to practice their data engineering and data science skills in a psuedo-realistic environment.
Development of AI agent with tools for managing health and safety capable of performing HAZID, BOWTIE, Tripod Beta Investigation, Autonomous Compliance Assurance and crawling for HSE Lesson Learn from public sources.
Development of AI agent with analytical toolkits tailored for pharmaceutical industry.
Deep Learning (VAE-based) model & MLOps (Databricks) implementation for multivariate anomaly detection through curve reconstruction for pharmaceutical medicine production.
Multimodal computer vision model development (including both Vision Transformer and CNN based architectures) deployed to analyze images for potential deep fake generation / manipulation
A computer-vision model deployed via realtime websocket connection to enable a self service checkout system for retail store installation.
Configuration and deployment of a private hosted MLOps server for data science teams collaboration, experiment tracking and model registry.
Deployment of triaging classification models to route incoming case management towards the right resolver group.
Use of computer vision models and image comparison algorithms to fetch most relevant product from catalog based on user's preference.
An AI Centre of Excellence (COE) PaaS designed for rapid deployment of custom AI packages to production. The platform automates infrastructure setup, allowing the development team to focus on user-specific customization.
Developed an Intelligent Document Processing (IDP) solution for automated invoice processing to extract key invoice entities, enhancing data accuracy, hence streamlining financial workflows across the enterprise.
A generative AI solution designed with retrieval augmented generation (RAG) that automate compliance evaluation against standards, rules, and regulations by analyzing an evidence repository to reduce governance burden of performing audits or compliance check.
A Q&A generative AI solution providing 24/7 real-time automated conversational support. Capable of providing answers from both structured database (Text-to-SQL) & unstructured database (RAG).
A generative AI solution with hybrid search (vector + keyword) that enables real-time Q&A, contract clause extraction, obligation tracking, and automated compliance analysis for maritime contracts.
A digital twin solution for maritime vessel fleet operations capable of simulating fuel consumption & emission data during planning stage that enables data-driven ESG decision making.
Object detection model layered on top of video monitoring systems capable of evaluating PPE compliance, workers unsafe behaviour & unsafe work conditions.
I'm always open to new opportunities and collaborations. Feel free to reach out!
hi@mfrdsfzi.com