Hi! My name is Mehul and I’m a graduate from UT Austin with degrees in Computer Science and Mathematics.
I'n an avid full-stack engineer with experience building out mobile & web applications in fields ranging from accessibility tech to financial systems and consumer social.
Worked alongside designers and product fellows to create software products for local Austin businesses/organizations
Project: CloudCare
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Collaborated with Dell Children’s Medical Center to create a cross-platform application that allows for the optimization of treatment for kids with chronic diseases by tracking patient data
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Leveraged Flutter framework with AWS back-end and communicated with designers/stakeholders to discuss user needs
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Developed submission flow for daily patient symptom logs and wrote Lambda functions for storing log data in DynamoDB and user-uploaded media in S3 buckets
Project: Thinkventory
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Constructed inventory management system for Thinkery Children’s Museum in Austin, allowing over 100 employees and administrators to keep track of item orders, reservations, storage quantities and employee access lists
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Collaborated closely with a team of 3 to document technical specifications and build out platform interface with React.js supported by a Firebase (Firestore) back-end
Developed mobile and web platforms for channel-based messaging application using React Native, Redux and Firebase
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Utilized cross-platform UI/UX component toolkits to build out 20+ custom interfaces, including an elaborate chat experience, event management pipeline, chat settings and thorough authentication/onboarding flow
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Secured application using database security rules and implemented push notifications and cloud tasks using Node.js serverless functions deployed to Google Cloud
Spearheaded development of Speak Selection, an accessibility feature for the Fire Tablet aiding users with visual or reading impairments to have screen content spoken out
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Designed and implemented robust front-end architecture in Android consisting of gesture-drive text selection and playback controls, interfacing with TTS infrastructure for speech generation
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Minimized touch-to-speak latency by approximately 40% through improved search algorithm to retrieve accessibility node content within selection boundary specified by user