Former Oil & Gas Operations & Process Safety practitioner turned Data & AI Professional
Mar 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.
Apr 2023 - Mar 2025
Led the development of AI & Machine Learning solutions for the company's products and services. Implemented CI/CD pipelines and automated testing workflows.
Oct 2022 - Apr 2023
Developed responsive web interfaces and RESTful APIs for the company's products and services. Collaborated with design team to create intuitive user experiences.
Sept 2015 - Oct 2022
Leveraged software development skills to create AI-driven web and desktop applications, automating HSE tasks for increased operational efficiency
Deep Learning (VAE-based) model & MLOps 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 IDP solution for automated invoice processing to extract key invoice entities, enhancing data accuracy and streamlining financial workflows across the enterprise.
A generative AI solution with RAG that automates compliance evaluation against standards, rules, and regulations by analyzing an evidence repository to reduce governance burden of performing audits.
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 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