Shreya V.
Ai Engineer @Next Pathway
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WORK HISTORY
Ai Engineer @Next Pathway
Toronto, ON, CA
Designed and implemented AI-driven pipelines to crawl, extract and consolidate metadata from legacy platforms, enabling scalable migration planning and execution- Applied ML/NLP techniques to automate parsing, translation and dependency mapping, reducing manual intervention and increasing accuracy of migration readiness assessments- Delivered transformation reports that tracked assets, lineage and testing workflows - guiding translation, validation and client migration strategy- Coordinated sprint planning and cross-functional collaboration, ensuring smooth execution across teams- Influenced project timelines, cost structures and client pricing models through actionable insights, contributing to stronger revenue forecasting and delivery efficiency- Drove innovation by blending applied AI research with practical data engineering, turning prototypes into production-ready solutions supporting large-scale enterprise cloud modernization.
EDUCATION
University of Toronto
MS, Applied Computing - Computer Science
SRM IST Chennai
B.Tech, Computer Science in Internet of Things
Amity International School, Sec 46 Gurugram
High School , Science
ABOUT SHREYA V.
I build AI systems that don’t just run - they make decisions, save time and move strategy forward.Currently an AI Engineer at Next Pathway, I work at the intersection of deep tech and enterprise transformation. From accelerating legacy modernization using generative AI to presenting applied research, my focus has always been: How can we solve the right problem and solve it well?My foundation is technical - Python, NLP, LLMs, Azure OpenAI, data pipelines - but my thinking is shaped by business value. I thrive in roles where I can bridge that space: translating complexity into clarity and insight into action.I am a Master of Science in Applied Computing(MScAC) graduate from the University of Toronto, where I partnered with industry to bring research to life and into production.Now, I’m continuing to sharpen my edge- Building systems that scale- Making sense out of messy data- Asking sharper questions (and learning from every answer)Let\'s connect and explore the limitless potential of data and strategy-driven innovation!
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