Enterprise Case Studies

Projects & Case Studies

AI, cloud, commerce, logistics, FinOps, and platform modernization work arranged by implementation year, with the newest initiatives first.

Commerce
2022 - Present | HCL Technologies / Papa John's | Technical Lead & Architect Owner

Ecommerce Modernization Platform

Designed and led modernization of enterprise ecommerce architecture using microservices, cloud-native infrastructure, event-driven systems, and AI-enabled operational workflows.

300K+ orders/day3M+ events/daySub-second event latency
Java 25Spring Boot 4GKEPub/SubVertex AI
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Problem

Legacy ecommerce systems were difficult to scale, tightly coupled, and unable to support growing digital ordering demands, real-time delivery expectations, and omnichannel experiences.

Solution

Modernized the platform with microservices, event-driven workflows, cloud infrastructure, Redis caching, CI/CD automation, and AI-enabled delivery prediction patterns.

Architecture

Java 25, Spring Boot 4.x, REST APIs, GCP, GKE, Pub/Sub, Datastore, Vertex AI, Docker, Kubernetes, Terraform, Jenkins, React, Next.js, Kafka, JMS, Oracle, Postgres, NoSQL, Redis.

Ownership

Owned architecture direction across multiple engineering teams, led 30+ engineers, drove ADRs, cloud migration strategy, operational excellence, and modernization roadmap execution.

Omnichannel
2024 - Present | HCL Technologies / Papa John's | Principal Architect / Technical Lead

Omnichannel Integration Platform

Architected a centralized integration platform connecting ecommerce, mobile apps, POS, loyalty, notifications, and third-party delivery providers.

Millions of events dailyLower integration latencyUnified order flows
Spring BootGraphQLKafkaPub/SubFlutter
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Problem

Customer experiences across mobile, web, POS, delivery systems, and third-party integrations were fragmented and lacked real-time synchronization.

Solution

Enabled seamless communication between ecommerce systems, mobile apps, POS, loyalty platforms, and delivery providers with real-time event propagation.

Architecture

Spring Boot microservices, Pub/Sub messaging, Kafka event streaming, Flutter mobile apps, Next.js web platform, GraphQL APIs, Kubernetes, Docker, and GCP.

Ownership

Led cross-functional architecture discussions, integration strategies, vendor coordination, and enterprise rollout planning.

POS
2026 - Present | HCL Technologies / Papa John's | Architect Owner

Next Gen POS Modernization

Designed modernization strategy for a next-generation cloud-connected POS ecosystem with scalable APIs, event-driven integrations, and operational visibility.

Cloud-connected POSReliable synchronizationScalable deployments
JavaSpring BootGraphQLPub/SubPostgreSQL
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Problem

Legacy POS systems limited scalability, slowed innovation, and created operational inefficiencies for stores and delivery operations.

Solution

Defined cloud-connected POS services, real-time order synchronization, delivery orchestration integration, loyalty and promotions integration, and operational analytics.

Architecture

Java, Spring Boot, REST and GraphQL APIs, GCP Pub/Sub, Kubernetes, Terraform, PostgreSQL, and event-driven architecture.

Ownership

Owned modernization roadmap, technical standards, architecture governance, and integration alignment across enterprise systems.

AI Design
2026 - Present | Personal Portfolio Project | Founder / AI Architect / Full Stack Engineer

AI System Design Copilot

AI-powered platform that generates scalable system designs, architecture recommendations, HLD/LLD diagrams, capacity estimates, and API contracts.

Faster design prepAutomated docsConsistent architecture output
Next.jsSpring BootVertex AIOpenAILangChain
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Problem

Engineers and interview candidates spend significant time manually creating scalable system design solutions and architecture documentation.

Solution

Built GenAI workflows for architecture diagrams, capacity estimation, API contract generation, scalability recommendations, interview preparation, and cloud suggestions.

Architecture

Next.js, Tailwind, Spring Boot backend, Vertex AI, OpenAI APIs, LangChain, vector database, Kubernetes, Docker, and Redis.

Ownership

Designed the full product architecture, AI orchestration workflows, frontend/backend systems, and deployment strategy.

FinOps
2026 - Present | Personal Portfolio / Enterprise Innovation | AI Architect & Platform Engineer

AI-Powered Cloud Cost Optimization & FinOps Advisor

AI-powered FinOps platform that analyzes cloud utilization patterns and recommends proactive infrastructure cost optimization actions.

30-50% simulated optimizationAutomated reportingImproved cloud visibility
GCP Billing APIsVertex AIBigQueryTerraform
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Problem

Cloud costs were increasing due to underutilized resources, inefficient workloads, and limited intelligent optimization insight.

Solution

Developed AI-driven cloud recommendations, utilization analysis, anomaly detection, cost forecasting dashboards, and FinOps reporting workflows.

Architecture

GCP Billing APIs, Vertex AI, Spring Boot, BigQuery, Kubernetes, Terraform, React, and Next.js.

Ownership

Owned product architecture, AI integration strategy, FinOps workflows, and infrastructure design.

Talent AI
2026 - Present | Karmuu Technologies | Founder / Technical Advisor

AI-Powered Job Search Platform

AI-enabled hiring platform using resume intelligence, semantic job matching, profile enrichment, recruiter ranking, and automation workflows.

AI ranking workflowsReduced screening effortBetter job alignment
Next.jsSpring BootVector DBLangChainKafka
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Problem

Traditional job portals provide poor candidate-job matching and lack intelligent automation for recruiters and candidates.

Solution

Designed AI resume matching, intelligent job recommendations, recruiter candidate ranking, AI profile enrichment, ATS integrations, and interview preparation workflows.

Architecture

Next.js frontend, Spring Boot backend, PostgreSQL, vector database, Vertex AI, OpenAI APIs, LangChain, Kubernetes, and Kafka.

Ownership

Owned product vision, architecture, AI workflows, integration strategy, and roadmap planning.

Logistics
2021 - 2023 | HCL Technologies / Papa John's | Architect Owner / Technical Lead

PapaTrack Real-Time Delivery Platform

Real-time delivery tracking ecosystem integrating driver systems, third-party providers, notifications, and predictive delivery intelligence.

300K+ orders/day3M+ events/daySub-second tracking
Spring BootPub/SubKafkaGoogle MapsVertex AI
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Problem

Customers lacked accurate, real-time visibility into delivery tracking and order statuses.

Solution

Delivered real-time driver tracking, live customer notifications, predictive delivery ETAs, SMS and push notifications, and third-party delivery integrations.

Architecture

Spring Boot microservices, Pub/Sub, Kafka, Google Maps APIs, Vertex AI, Kubernetes, Flutter, and web applications.

Ownership

Led end-to-end architecture, delivery platform modernization, operational scalability planning, and engineering execution.

Prediction
2023 - 2024 | HCL Technologies / Papa John's | AI Solutions Architect

Quote Time Algorithm (QTA)

AI-powered delivery estimation models using operational, traffic, historical, and real-time delivery data to improve ETA accuracy.

90%+ prediction accuracyBetter planningFewer ETA complaints
Vertex AIPythonBigQueryPub/SubSpring Boot
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Problem

Inaccurate delivery time estimates negatively impacted customer trust and operational planning.

Solution

Built AI-based delivery predictions, real-time ETA recalculation, traffic-aware routing intelligence, and operational analytics.

Architecture

Vertex AI, Python ML pipelines, BigQuery, Pub/Sub, Spring Boot APIs, and Kubernetes.

Ownership

Led AI architecture strategy, model operationalization, pipeline modernization, and cross-team deployment coordination.

Cost
2023 - Present | HCL Technologies / Papa John's | Technical Architect

Google Maps API Cost Optimization Initiative

Optimization strategy using intelligent caching, request batching, API utilization analysis, and reduced redundant geolocation calls.

50%+ cost reduction$500K annual savingsFewer redundant requests
Google Maps APIsRedisSpring BootBigQueryDashboards
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Problem

Google Maps API usage costs were rapidly increasing due to high-scale delivery and tracking operations.

Solution

Implemented intelligent API request caching, dynamic throttling, geolocation optimization, and cost analytics dashboards.

Architecture

Google Maps APIs, Redis caching, Spring Boot, Kubernetes, monitoring dashboards, and BigQuery analytics.

Ownership

Owned cost optimization architecture, operational governance, monitoring strategy, and enterprise rollout execution.