Lead engineer for Travis County (Texas) Property Appraisal project, managing a team of 3 engineers to deliver a full-stack platform that integrates AI-driven property valuation models, enabling county officers to compare manual assessments with model predictions

Designed and built end-to-end data integration pipeline, including incremental data ingestion frameworks, enabling reliable processing of high-volume customer datasets.

Led Meter OPS workstream for the largest utility providers for New York, managing requirements, feature development, and executive demos.

Optimized 18+ Batch and MapReduce jobs, reducing overall memory consumption by 20% and improving runtime performance by 30%, resulting in lower infrastructure costs and significantly faster data processing cycles for Conedison.

Led the development of a production-ready Data Explorer tool, adopted by 5+ teams, supporting 50+ operational metrics and reducing data exploration time by 30–40%.

Built an Energy Dashboard for a major infrastructure client, enabling facility managers to monitor consumption patterns and leverage data-driven insights for forecasting and optimization of energy usage.

Led the integration of the OSQuery open-source tool into the Lenovo Device Management Portal, for enhanced monitoring capabilities for enterprise admins and reducing dev effort for additional metric monitoring.

Developed REST APIs using Java Spring Boot, utilized MongoDB for storage, and leveraged MQTT for asynchronous communication with clients running on devices built using C#.

Significantly improved the unit test coverage on the Front end, elevating it from 50% to 80%.

Part of the recommendation team at Indonesia’s largest e-commerce, developing AI-driven recommendation systems.

Improved the latency of several recommendation algorithms by 5-7% by analyzing the load on elasticsearch and improving redis caching mechanism .

Led development of the Comparison Widget (Golang, Elasticsearch, Postgres), handling 11k RPS and providing clear, side-by-side gadget comparisons, directly improving user decision-making and satisfaction.

Developed the Affinity Booster feature, allowing users to view product variants they are more likely to prefer based on their affinities, thereby enhancing the shopping experience.

Part of Digital Payments team that provide Digital Payments Cloud Solutions.

Implemented the UI using Vue.js and the back-end features using Node.js of an Onboarding portal (Serverless) facilitating the onboarding of banks on Thales Cloud Payment Solution. Leveraged various AWS services which constituted the serverless architecture like API Gateway, AWS Cognito, Lambda, AWS Cloud Formation etc..

Integrated cypress testing framework for comprehensive E2E testing of front end and authored the initial suite of end-to-end tests, laying down the foundation for future expansions and ensuring robust test coverage.

Member of Mobile Gateway team which is the heart and core component of Thales Cloud Payment Solution. Contributed by implementing the APIs of various Payment Solutions like VISA, MasterCard etc. on Mobile Gateway.