Harshil Mistry
Co-founder @Quickflows
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WORK HISTORY
Co-founder @Quickflows
DE
As a Co-Founder and AI Automation Engineer, I design and deploy end-to-end AI-powered solutions to streamline business operations, enhance customer engagement, and automate complex CRM workflows- Intelligent Lead Management: Developed an automated lead management system for Eneto GmbH by integrating Pipedrive CRM, Telli voice assistant, and Make.com- Workflow Orchestration: Enabled automated lead updates, call tracking, CRM stage management, and automated quotation delivery based on real-time customer intent- Operational Efficiency: Successfully reduced manual CRM administration and significantly decreased time spent on manual lead follow-ups and cold-calling through repetitive task automation- Customer Engagement Automation: Created an AI marketing assistant for an automobile service client, automating WhatsApp service reminders, notifications, and promotional campaigns- Measurable Business Impact: Increased the client\'s average monthly service volume from 80-90 vehicles to 110 vehicles through strategic follow-up and recurring engagement- Client Strategy: Collaborated directly with stakeholders to analyze business processes, design scalable automation workflows, and integrate third-party tools.
EDUCATION
Bauhaus-Universität Weimar
Master's degree, Digital Engineering
G H Patel College of Engineering & Technology
Bachelor's degree, Mechanical Engineering
ABOUT HARSHIL MISTRY
I build the bridge between complex ML research and scalable, production-ready AI automation. From scaling 30+ models for semiconductor simulation at GLOBALFOUNDRIES to co-founding QuickFlows to engineer AI-driven workflows, my focus is on measurable impact. Currently, as a part of my master\'s thesis at GlobalFoundries I am pushing the boundaries of Geometric Deep Learning, using Graph Neural Networks to reconstruct finite-element meshes. Expert in Python, PyTorch, and the full MLOps lifecycle—from model versioning to automated CI/CD pipelines. I thrive where technical rigor meets intelligent automation to solve real-world industrial challenges. Let’s connect to discuss the intersection of GDL, MLOps, and the future of AI.
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