Experience

Sep 2025 – Present

Designed and deployed a production-grade, multi-tenant agentic RAG chatbot for safety reports and operational data, reducing information retrieval time from hours to seconds
Built scalable AI backend services using LangChain and Azure, implementing conversational memory, secure chat sharing, and role-based access controls for data isolation
Developed AI-powered automation for safety form generation, reducing manual reporting effort by approximately 80%
Contributing to an $8M multi-year industrial AI initiative delivering enterprise-scale solutions for operational safety in the offshore energy sector

Jan 2025 – Mar 2025

Led customer discovery and market validation for an AI-powered biofouling detection solution for maritime vessels
Evaluated market opportunities and translated findings into a value proposition and go-to-market strategy

Sep 2024 – Feb 2025

Developed a transformer-based custom handwriting OCR for check images, enhancing fraud detection workflows
Designed a spell-check post-processing algorithm that improved character and word error rates

Aug 2022 – May 2025

Preprocessed over 1.1TB of DICOM CT scan images and developed deep learning models for body composition estimation
Built ML models achieving an average R-squared of 0.92 across target tissues using multi-GPU infrastructure
Research presented at the Atlantic Canada AI Summit 2025

Nov 2021 – Nov 2022

Developed ML-based algorithms for cuffless blood pressure measurement using ECG and PPG signal data
Collaborated with cross-functional teams on an end-to-end health monitoring system

Jun 2021 – Oct 2021

Developed a deep neural network for face anti-spoofing, securing face recognition systems against presentation attacks

Education

Memorial University of Newfoundland

2022 -- 2025

Thesis: Estimating whole-body tissue composition from sub-body CT scans

University of Tabriz

2014 -- 2017