Dipta Rakshit

Mobile Application Engineering with a Focus on E-commerce and Healthcare Solutions

Abstract:

Prescription services are often split across separate systems for medications, vision care, and pet health. This fragmentation creates unnecessary friction in the refill process, affects adherence, and leads to inconsistent user experiences. In this session, we’ll explore the design of a unified mobile platform that brings these services together through secure RESTful APIs, FHIR-based interoperability, modular microservices, and a HIPAA-compliant cloud foundation.

The platform uses predictive analytics and machine learning models, including random forests, gradient boosting, and recurrent neural networks to anticipate refill needs, flag potential adherence risks, and determine the right time to engage users. By analyzing refill patterns, demographics, seasonal trends, and purchasing behavior, the system delivers personalized and timely interventions. Rather than relying on static reminders, the platform continuously adapts communication tone, frequency, and channel using reinforcement learning and ongoing A/B testing. This approach helps improve engagement while avoiding notification fatigue.

In a large-scale retail deployment, the solution led to measurable improvements in refill efficiency, adherence rates, inventory forecasting, repeat purchases, and cross-category engagement. For vision care, augmented reality based virtual try-on features improved order completion rates and reduced product returns. Accessibility and equity were built into the platform from the start. The application follows ADA and WCAG guidelines, supports screen readers and voice navigation, includes multilingual localization, and incorporates bias monitoring within its predictive models to help reduce disparities in access.

Attendees will gain practical insights into platform architecture, predictive modeling approaches, implementation considerations, and governance practices that balance commercial goals with meaningful clinical outcomes. This session highlights how thoughtfully applied AI can reduce fragmentation, strengthen adherence, and support scalable, privacy-conscious prescription ecosystems. 

Profile:

Dipta Rakshit is a seasoned Senior Mobile iOS Software Engineer with nearly two decades of experience in mobile software development, including over 19 years specialising in iOS. He has an extensive background in designing and developing large-scale, high-performance applications from the ground up and implementing modern software development practices to ensure quality and timely delivery. His expertise spans scalable architecture, modular component design, and the integration of advanced backend and orchestration layers using technologies like GraphQL.

Currently serving as a Staff Software Engineer at Walmart Global Tech in California, Dipta plays a key role in developing and maintaining large-scale iOS applications, contributing to major transactional features such as Cart, Checkout, Payments, and Personalization. He has led end-to-end initiatives involving A/B testing, real-time monitoring, and feature experimentation, while also mentoring globally distributed teams and driving engineering excellence across platforms. Previously, Dipta held senior engineering roles at Replicon, where he played a key role in developing enterprise mobile time management applications. He worked on developing robust iOS frameworks, implementing authentication modules (SSO, SAML, OAuth), and building CI/CD pipelines using Jenkins. His earlier experience includes leadership and development positions at Teleca and Incture Technologies, where he developed applications across iOS, Windows Mobile, J2ME, and BlackBerry platforms, with a focus on performance optimisation and cross-platform development. Dipta holds a Bachelor of Engineering in Computer Science from North-Eastern Hill University, India. His technical expertise includes Swift, Objective-C, Xcode, Cocoa Touch, XCTest, XCUITest, React Native, Node.js, GraphQL, AWS, Google Cloud, and a wide range of mobile development tools and frameworks. Throughout his career, he has consistently demonstrated a commitment to technical excellence, scalability, and mentorship in globally distributed software teams.