Developed Offers Tool with a global user base across 70 Countries• Performance Optimization: Spearheaded the development of the Offers tool, reducing processing time by 93% (from 27 days to 2).• Architecture & Design: Designed a flexible, fault-tolerant system using SOLID principles, MVCS pattern, and interface-based architecture. The workflow was orchestrated by a distributed event driven architecture using Cadence, with local variations managed through the decorator pattern.• End-to-End Ownership: Led backend feature development and architecture, gathered requirements, broke down work and led a team of engineers through design, implementation, and release cycles. Used Go, SQL, Cadence, Redis to handle complex design decisions and tradeoffs, iterating based on feedback.• Feature Development: Drove key features for the Offers microservice, including the Approval Chain package in Go, which cut decision-to-hire time by 83%. Led backend service development with gRPC and protocol buffers.Tech Lead for Database Layer Migration ~20% of codebase• Developed Comprehensive Migration Strategy: Crafted an in-depth plan for migrating 212 database methods. Utilized critical ORM features from the GORM library, including associations, primary and composite keys, indexes, constraints, transactions, rollbacks, batch inserts ensuring a smooth transition.• Architected Shadow Testing Framework: Designed a sophisticated architecture for shadow testing production traffic, focused on read methods. Strengthened unit and end-to-end (E2E) testing by creating middleware that dynamically spins up Go routines to queue duplicate traffic to a configurable shadow environment.Quality improvement• Enhanced Code Coverage and Quality: Increased code coverage as a team, by 40% across 190k lines of code through the use of Generative AI tools and measurable dashboards, resulting in a 20% reduction in incidents and critical (P0) bugs

Transformed monolith to Microservices architecture – desktop application and cloud service• Designed and developed REST microservices-based distributed scalable fault-tolerant architecture with the single-responsibility principle to revamp Database Migration product DCW serving 100M database migrations annually• Developed backed in Node.js, frontend in React Js and scalable, fault-tolerant and highly available product using Docker and Kubernetes, CICD pipeline using Travis and Jenkins. Developed private cloud service and electron-based desktop applicationCustomer support transformation Web applications using Machine Learning, Automation• Created slack app to increase severity 1 cases meeting first response time KPI from 48% to 85% using Python, Flask and selenium• Developed machine learning (ML) based web application to improve Net Promoter Score for Db2 from 58 to 74. Developed machine learning model to find similar cases from past for DB2, which reduced time to resolution. Used Python, pandas, scikit-learn, Watson Studio to train and test the ML model. Developed REST API using Python, Flask, Db2 and deployed it using Kubernetes, Docker. The application was valued amongst Top 5 innovative solutions in Data and AI organization• Developed Python Flask based dashboard having support metrics for cross-functional coordination and tracking of customer used by support engineers and managers

• Developed Flask REST API for Machine Learning models in Watson Explorer, a 100M product• Developed Watson chatbot for SPSS that resolves common customer queries that account for 80% of the volume• Resolved issues in SPSS community support portal built in Node.js and React

• Developed one stop portal in Django to Reduced turnaround time for business licensing in Tanzania by 75%• Migrated legacy architecture to Python Django based web application that decreased time to market by 90% for leading third-party healthcare administrator in South Africa • Increased first-time right resolution by 50% through web-based knowledge management platform in Python Flask for Africa’s largest multimedia conglomerate; 150% incremental revenue from repeat projects