
Mahsa Ravan Bakhsh
@mahsaravanbakhsh
I build compliant, AI-enabled recall and quality management systems for regulated industries.
What I'm looking for
At Oracle, I led development of a recall management solution within enterprise inventory systems, processing 3,000+ recalls and reducing manual workload and response time by 50–60%. I partnered with engineering to train and validate AI models for recall data extraction while redesigning system logic for imperfect master-data environments.
Across Cardinal Health, Agrocan, Conglom, and earlier quality roles, I’ve built and operated quality systems for pharmaceuticals, medical devices, natural health products, and food. I’ve owned recalls, temperature deviations, product dispositions, traceability investigations, regulatory reporting, CAPA, and audit readiness under FDA, Health Canada, GMP/GxP, and ISO 13485 requirements.
I bring quality and product leadership together to turn fragmented manual workflows into scalable, data-driven systems that improve compliance, traceability, and operational decision-making.
Experience
Work history, roles, and key accomplishments
Led product development of a recall management solution integrated into enterprise inventory systems, defining workflows and supporting AI model training. Processed 3,000+ recalls, reducing manual workload and response time by 50-60%.
Education
Degrees, certifications, and relevant coursework
McGill University
Master of Science, Food Science
2016 - 2017
Pursued a Master of Science in Food Science, focusing on advanced food science principles and research.
Azad University
Bachelor of Engineering, Food Science
2006 - 2010
Earned a Bachelor of Engineering in Food Science, building a strong foundation in food science and engineering principles.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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