Projects: Bigbasket 2.0 Migration, Warehouse Management, Quality Control

• Spearheaded address, subscription, and wallet migration from BBdaily to Bigbasket 2.0 using ML algorithms for address matching, deployed in production without disrupting customer operations.
• Built warehouse management OCR-AI system reducing goods receiving time from hours to minutes by auto-filling invoice details and matching confidence scores with purchase orders using ML.
• Developed admin panel streamlining finance team approval workflows for invoice processing and validation.
• Architected Quality Control and restacking system with FEFO/FIFO batching logic ensuring quality delivery from farmers' collection centers to customer doorstep.

Projects: Opsmotor

• Designed and implemented a distributed system architecture supporting monolithic and microservices deployments, forming the baseline for product development.
• Boosted system performance by 30%, by migrating to Kubernetes, enabling acquisition of high-value clients like Legal & General.
• Developed cloud and image security scanners and cloud connectors for comprehensive security and compliance.
• Scaled the multi-tenant cloud security platform to support over 1,000 tenants with 99.9% uptime.
• Reduced false positives by 80%, enhancing client satisfaction and operational efficiency.
• Optimized CI/CD pipelines with Kubernetes tools, cutting deployment times by 40%.
• Developed a supply chain feature to manage laptops and private cloud resources across large tech enterprises by designing a single point of control within the platform.
• Developed custom agents for system scanning and AI-driven capabilities, enhancing automation and platform intelligence which provides resolutions using Gen AI from knowledge base.

Projects: LMP, Petri, Incident AI

• Architected and led the development of Incident AI, a microservices-based product integrating SolarWinds and ServiceNow, cutting down ticket resolution time from 2 weeks to 1 day for Carnival Princess Cruise lines.
• Implemented an AI tool based on RAG (Retrieval-Augmented Generation) to cluster similar tickets, drastically reducing resolution times using OpenAI APIs and DistilBert.
• Provided automated resolution suggestions for recurring incidents, reducing manual triage effort and improving SLA compliance.
• Led a team of 8 to deliver the MVP for the Test Automation Tool (Petri), achieving 100% sprint completion rates and driving its adoption across Rakuten Mobile's QA department.
• Designed custom integrations with Jira and Elastic Repository for the LMP project, enhancing project tracking efficiency and increasing visibility across 5 major development teams.
• Applied ML and LLM technologies to automate ticketing and resolution workflows, transforming operational efficiency for enterprise clients.

Projects: Enhanced Annuity Platform (EAP)

• Played a key role in the core and migration teams for project EAP, delivering a 13-year-old matured system in a new data-driven architecture, making it highly configurable for client Legal & General.
• Developed and deployed applications in Azure Cloud using Java 11 (Spring and Azure Functions), while configuring Azure Function Apps and managing APIs with Terraform to streamline infrastructure and enable seamless integration.