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Hi, I’m Dhanish Mehta, a full-stack software engineer with 9+ years of experience building scalable web apps in healthcare and global payments. I specialize in Python, Node.js, React, and GenAI, and I love turning ideas into robust, user-friendly features. I collaborate with cross-functional teams to deliver production-grade applications, automate business processes, and boost performance and user experience. I’m passionate about applying AI-driven workflows to real-world problems and ensuring reliable, scalable systems.…Hi, I’m Dhanish Mehta, a full-stack software engineer with 9+ years of experience building scalable web apps in healthcare and global payments. I specialize in Python, Node.js, React, and GenAI, and I love turning ideas into robust, user-friendly features. I collaborate with cross-functional teams to deliver production-grade applications, automate business processes, and boost performance and user experience. I’m passionate about applying AI-driven workflows to real-world problems and ensuring reliable, scalable systems.

Dhanish Mehta

Full Stack Developer, Web Developer, Back-End Developer, +2

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Hi, I’m Dhanish Mehta, a full-stack software engineer with 9+ years of experience building scalable web apps in healthcare and global payments. I specialize in Python, Node.js, React, and GenAI, and I love turning ideas into robust, user-friendly features. I collaborate with cross-functional teams to deliver production-grade applications, automate business processes, and boost performance and user experience. I’m passionate about applying AI-driven workflows to real-world problems and ensuring reliable, scalable systems.…Hi, I’m Dhanish Mehta, a full-stack software engineer with 9+ years of experience building scalable web apps in healthcare and global payments. I specialize in Python, Node.js, React, and GenAI, and I love turning ideas into robust, user-friendly features. I collaborate with cross-functional teams to deliver production-grade applications, automate business processes, and boost performance and user experience. I’m passionate about applying AI-driven workflows to real-world problems and ensuring reliable, scalable systems.

Available to hire

Hi, I’m Dhanish Mehta, a full-stack software engineer with 9+ years of experience building scalable web apps in healthcare and global payments. I specialize in Python, Node.js, React, and GenAI, and I love turning ideas into robust, user-friendly features.

I collaborate with cross-functional teams to deliver production-grade applications, automate business processes, and boost performance and user experience. I’m passionate about applying AI-driven workflows to real-world problems and ensuring reliable, scalable systems.

Skills

Experience Level

Expert

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Language

Javanese

Advanced

Work Experience

Full Stack AI Engineer at Flywire

March 1, 2023 - Present

Developed and maintained core payment APIs for global transactions, improving processing efficiency by 25% and reducing transaction time by 15%. Integrated GenAI features into customer support tools, automating FAQ responses and reducing resolution time by 30%, enhancing customer satisfaction. Led development of React-based dashboards for clients to monitor payment status, improving real-time visibility and increasing user engagement by 40%. Optimized backend performance using Node.js and AWS Lambda, cutting response times by 20% and improving overall system scalability.

Software Engineer at ModMed

August 1, 2016 - February 1, 2023

Designed and built full-stack features for EHR and Practice Management platforms, leveraging React for frontend and Python/Node.js for backend services. Developed and deployed patient payment modules within ModMed Pay, increasing revenue cycle efficiency by 15% and reducing payment errors by 10%. Implemented data pipelines and APIs for clinical insights and analytics, enabling real-time reporting for healthcare professionals and reducing reporting times by 20%. Led CI/CD pipeline implementation with GitHub Actions, reducing defect leakage by 35% and enhancing release efficiency by 25%. Optimized database performance by implementing indexing and query optimization strategies, improving data retrieval speed by 30%.