Hi, I’m Moaz Murtaza. I’m a Lead Machine Learning Engineer and Data Scientist focused on building production-grade AI systems, scalable data pipelines, and intelligent automation platforms. I specialize in predictive modeling, anomaly detection, and end-to-end ML deployment using Python, SQL, PyTorch, and modern data infrastructure. I thrive in fast-paced remote environments and enjoy turning complex data problems into reliable, business-ready solutions. I have led technical initiatives, architected scalable AI platforms, and mentored diverse teams. My work spans SaaS, healthcare, and e-commerce, with growing interest in blockchain analytics and on-chain data intelligence. I excel at translating business needs into practical ML strategies, bridging the gap between research and production, and delivering impact at scale.

Moaz Murtaza

Hi, I’m Moaz Murtaza. I’m a Lead Machine Learning Engineer and Data Scientist focused on building production-grade AI systems, scalable data pipelines, and intelligent automation platforms. I specialize in predictive modeling, anomaly detection, and end-to-end ML deployment using Python, SQL, PyTorch, and modern data infrastructure. I thrive in fast-paced remote environments and enjoy turning complex data problems into reliable, business-ready solutions. I have led technical initiatives, architected scalable AI platforms, and mentored diverse teams. My work spans SaaS, healthcare, and e-commerce, with growing interest in blockchain analytics and on-chain data intelligence. I excel at translating business needs into practical ML strategies, bridging the gap between research and production, and delivering impact at scale.

Available to hire

Hi, I’m Moaz Murtaza. I’m a Lead Machine Learning Engineer and Data Scientist focused on building production-grade AI systems, scalable data pipelines, and intelligent automation platforms. I specialize in predictive modeling, anomaly detection, and end-to-end ML deployment using Python, SQL, PyTorch, and modern data infrastructure. I thrive in fast-paced remote environments and enjoy turning complex data problems into reliable, business-ready solutions.

I have led technical initiatives, architected scalable AI platforms, and mentored diverse teams. My work spans SaaS, healthcare, and e-commerce, with growing interest in blockchain analytics and on-chain data intelligence. I excel at translating business needs into practical ML strategies, bridging the gap between research and production, and delivering impact at scale.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
See more

Language

English
Fluent
Urdu
Advanced

Work Experience

Founder & Automation Lead at Escaplix
July 1, 2025 - Present
Architected and deployed end-to-end automation systems using n8n, Zapier, and REST APIs for global clients. Developed AI chatbot and automated quotation system for a Swiss solar company, reducing manual workload by 60%. Built Facebook Marketplace automation pipelines increasing posting efficiency and sales conversion. Designed lead generation automation workflows improving client acquisition funnels. Leading development of SaaS platform for AI-powered workflow automation.
Software Engineer at FAST Research Lab
November 1, 2024 - Present
Developed a computational pathology pipeline for tumor detection using Whole Slide Images (WSI) with OpenSlide and PyTorch. Implemented multi-resolution tile extraction and magnification-aware patch sampling for gigapixel histopathology images. Designed segmentation-based filtering to isolate tissue regions and improve deep learning model efficiency. Built preprocessing pipelines including normalization, augmentation, and batch data loading for model training. Integrated ROC-AUC and other evaluation metrics for model performance validation. Engineered experiment tracking system for managing datasets, hyperparameters, and training results.
Junior Data Scientist at Elyptra
January 1, 2024 - November 1, 2024
Built large-scale web scraping pipelines to collect and structure data from diverse online sources. Performed data cleaning, transformation, and exploratory analysis to surface actionable business insights. Automated recurring data collection and reporting workflows, significantly reducing manual effort. Collaborated with cross-functional teams to integrate data pipelines into SaaS applications.

Education

BS Data Science at FAST NUCES Islamabad
January 1, 2022 - January 1, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Retail, Professional Services, Media & Entertainment, Education, Healthcare, Real Estate & Construction, Energy & Utilities, Other, Life Sciences