
Empowering customers and brands by integrating enriched data, contextualized AI, and machine learning to build AI Agents powered by MCP and Multi Model RAG to drive actionable insights, optimize decision-making, and accelerate business growth.
Empowering customers and brands with agentic, contextual AI and machine learning to drive insights, optimize decisions, and fuel growth while delivering cross-platform digital experiences and future-proofing infrastructure through modern, cloud-native solutions and seamless legacy system migration.
Successfully designed and implemented enterprise-scale AI/ML-powered solutions to optimize critical forecasting, generative insights, intelligent recommendations, and smart audience segmentation using classification and clustering techniques.
Mobile and Web development initiative was led for a suite of enterprise scale decentralized applications, delivering a multi-lingual, multi-tenant experience. Solutions were implemented for platforms including a corporate transactions using blockchain based tokens and smart contracts, communication with real time chat, managing digital assets and NFTs and a subscription-based live streaming service.
A complete technical overhaul was led for a legacy automobile retail and repair platform, with over 1TB of critical data managed for scalability, optimization, and performance. CosmosDB RU/s bottlenecks were addressed, and memory limitations were resolved by deploying Elasticsearch and Kibana using Kubernetes and Helm charts. Event streaming was enabled through Kafka. Full DevOps integration and CI/CD automation were implemented, ensuring high availability and future readiness.
As part of a strategic discovery initiative, the data flow within Assortment, RDC, and Replenishment across a global supply chain ecosystem powered by Airflow DAGs was analyzed. Anomalies, redundancies, and systemic inefficiencies were identified, leading to a proposed future-ready system redesign. Anomaly detection was automated through scheduled queries in GCP, establishing the foundation for a smarter, faster, and more reliable supply chain infrastructure.
A two-decade-old POS system was modernized into a cloud-native solution. Legacy features were incrementally replaced with scalable, event-driven microservices powered by Kafka. Robust CI/CD was implemented with automated unit, functional, behavioral, and performance testing, along with high availability (HA), disaster recovery (DR), and intelligent ZZD deployment rollbacks.
A legacy discounts and coupons system was modernized through the development of a scalable and cloud microservices based promotions engine optimized for the enterprise scale. The solution enables real-time promotions and discount application different stores and e-commerce channel with minimal latency. Complete CI/CD automation, comprehensive automated testing at all levels, and built-in HA/DR guarantees ensured the engine was resilient and ready for production deployment.

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