Pankaj Singh

EPAM Systems is a global leader in digital platform engineering and software development services, partnering with Fortune 500 clients across industries.

• Architected and delivered full-stack, cloud-native e-commerce solutions on Azure, integrating intelligent product recommendation and personalization pipelines that improved user engagement by an estimated 25%.
• Designed and built cross-platform mobile and web experiences using React Native and TypeScript, reducing time-to-market for new feature releases by 30% through reusable component architecture.
• Collaborated with backend teams to optimize event-driven microservices on Azure Service Bus, reducing message processing latency by 35% and improving system throughput at scale.

Inspire Brands is a multi-brand restaurant company owning Arbys, Buffalo Wild Wings, Sonic, Jimmy Johns, Dunkin Donuts, and Baskin-Robbins.

• Architected and contributed to a next-generation cloud-native e-commerce platform on Azure, engineered to support 10,000+ store locations across the US through unified web and mobile channels.
• Designed and implemented the React Native frontend, delivering a consistent omnichannel experience across iOS and Android for 5+ major restaurant brands.

Photon is a global digital transformation leader serving 37 of the Fortune 100 companies across e-commerce, healthcare, and retail verticals.

• Architected and implemented an AI-powered Photo Search feature using Google Vision API (Computer Vision) for H&M MENAs cross-platform mobile app, enabling visual product discovery and reducing search-to-purchase friction by an estimated 20%.
• Optimized cart performance by 70% (reducing load time from ~10 seconds to ~2–3 seconds) through intelligent data-fetching strategies, API response caching, and lazy-loading architecture.
• Improved homepage load performance by 20% and Product Detail Page (PDP) load by 30% via code-splitting, bundle optimization, and CDN-level caching strategies.
• Elevated crash-free user rate from ~90% to ~96%+ on both iOS and Android by diagnosing and resolving critical memory leaks and race conditions in the React Native runtime.
• Integrated Olapic (User Generated Content platform) to surface AI-curated social proof content within the shopping experience, increasing product page conversion rates.
• Implemented Rich Push Notifications for iOS using APNs, enabling personalized, AI-triggered re-engagement campaigns that improved DAU retention metrics.
• Built reusable, scalable component libraries (Catapult) adopted across multiple client projects, reducing frontend development effort by 40% for new feature rollouts.
• Delivered full-stack Angular web application for Sentara Healthcare, integrating secure patient data APIs and role-based access control (RBAC) for a not-for-profit healthcare network serving Virginia and North Carolina.

Independent full-stack development practice delivering web and mobile solutions for clients across multiple domains.

• Designed and deployed 10+ full-stack web and mobile applications using React, Node.js, Python, and MongoDB, hosted on Heroku and Netlify.
• Built RESTful API backends with Express.js and integrated third-party AI/ML APIs to add intelligent features such as sentiment analysis and content classification.
• Delivered projects end-to-end from requirements gathering and architecture design to deployment and client handoff — with a 100% on-time delivery rate.

Telecom engineering services partner for Ericsson, focused on network infrastructure and software tooling.

• Developed internal web tooling and dashboards to support network operations teams, improving operational visibility and reducing manual reporting effort by 30%.
• Gained foundational experience in enterprise software development workflows, version control, and cross-functional team collaboration in a large-scale engineering environment.

Problem: Inspire Brands needed a unified, intelligent ordering platform capable of handling millions of daily transactions across 10,000+ store locations for 5 major restaurant chains (Arbys, Sonic, Dunkin, Buffalo Wild Wings, Jimmy Johns) through both web and mobile channels — with zero tolerance for downtime during peak hours. Solution: Contributed to architecting and building a next-generation, event-driven, cloud-native e-commerce platform on Azure. Integrated AI-powered personalization and location-aware recommendation engines to increase average order value. Built the cross-platform React Native frontend with Contentful CMS, and integrated Azure Cognitive Services for intelligent menu curation and dynamic content delivery. Full-Stack Architecture: - Frontend: React Native (iOS + Android), Contentful CMS - Backend: Spring Boot microservices, RESTful APIs, Azure Service Bus (async messaging) - Database: SQL Server (transactional), Azure CosmosDB (NoSQL, high-throughput) - AI/ML: Azure Cognitive Services (personalization, location intelligence, content classification) - Cloud: Azure Kubernetes Service (AKS), Azure Service Bus, Azure DevOps - DevOps: GitLab Flow, Helm Charts, Argo CD, CI/CD pipelines

• Scaled to support 10,000+ store locations across the US with 99.9% uptime SLA
• AI-powered personalization estimated to increase average order value by 15%
• Reduced infrastructure provisioning time by 50% via Kubernetes + Helm automation
• Unified 5 major restaurant brands onto a single intelligent digital platform
• Event-driven architecture reduced order processing latency by 35%

Problem: H&M MENAs cross-platform mobile app suffered from critical performance bottlenecks (10-second cart load times, ~90% crash-free rate) and lacked intelligent product discovery capabilities — directly impacting conversion rates and user retention across Middle Eastern markets. Solution: Architected and implemented an AI-powered Photo Search feature using Google Vision API (Computer Vision), enabling users to discover products by photographing real-world items. Simultaneously executed a full-stack performance overhaul — optimizing API data-fetching, implementing intelligent caching layers, and resolving critical memory leaks — transforming the app into a high-performance, AI-enhanced shopping experience. Full-Stack Architecture: - Frontend: React Native (iOS + Android), TypeScript, Redux - Backend: Node.js APIs, RESTful services, CDN-level caching - AI/ML: Google Vision API (Computer Vision — visual product search), Olapic AI-curated UGC - Data: Optimized API response payloads, lazy-loading data pipelines - DevOps: CI/CD pipelines, crash analytics (Crashlytics), performance monitoring

• Reduced cart load time by 70% — from ~10 seconds to ~2–3 seconds
• Improved homepage load performance by 20% and PDP load by 30%
• Elevated crash-free user rate from ~90% to ~96%+ on iOS and Android
• Implemented AI-powered Photo Search (Computer Vision) enabling visual product discovery
• Recognized by Delivery Manager and Client Product Owner for outstanding delivery commitment
• Integrated AI-curated User Generated Content (Olapic) to improve product page conversion

Problem: Sentara Healthcare, a not-for-profit network serving Virginia and North Carolina, required a secure, scalable web platform to manage patient-facing services with role-based access control, real-time data integration, and compliance with healthcare data standards. Solution: Designed and built a full-stack Angular web application integrating secure patient data APIs, RBAC authorization, and intelligent data presentation layers. Implemented automated testing pipelines (Jasmine) to ensure 95%+ code coverage and regulatory compliance readiness. Full-Stack Architecture: - Frontend: Angular, TypeScript, RxJS - Backend: Node.js, RESTful APIs, secure data integration layer - Data: SQL-based patient data stores, ETL pipelines for reporting - Security: Role-Based Access Control (RBAC), OAuth 2.0 integration - Testing: Jasmine unit testing, automated CI/CD validation

• Delivered a HIPAA-aligned, secure patient-facing web platform for a healthcare network serving 2M+ patients
• Achieved 95%+ automated test coverage via Jasmine, reducing QA cycle time by 40%
• Implemented RBAC and OAuth 2.0 security layer protecting sensitive patient health data
• Reduced manual reporting effort by 35% through automated ETL data pipelines and intelligent dashboards