
Aarushi Sharma developed and enhanced core features for the nammayatri platform, focusing on backend reliability, real-time event tracking, and user experience improvements. Working across repositories such as nammayatri/nammayatri and asset-store, Aarushi implemented centralized violation detection, onboarding analytics, and notification reliability using Haskell, Rust, and JavaScript. She integrated Kafka-based real-time data processing for ride tracking and safety alerts, refactored backend logic for maintainability, and improved frontend accessibility with PureScript. Her work addressed operational issues like alert fatigue and notification accuracy, while also expanding UI asset support. The solutions demonstrated depth in API development, event-driven architecture, and cross-repo coordination.

June 2025 monthly summary for NamMayatri development. Focused on consolidating violation detection, exposing APIs, and expanding UI asset support. Delivered the centralized Violation Detection System with ViolationAlerts and SafetyCheckDetection, and integrated the Detection API into the main API for consistent routing and handling. Fixed detection accuracy by correcting the BPP Ride ID type in queries. Updated UI assets to support NY XL Cab and Premium vehicles.
June 2025 monthly summary for NamMayatri development. Focused on consolidating violation detection, exposing APIs, and expanding UI asset support. Delivered the centralized Violation Detection System with ViolationAlerts and SafetyCheckDetection, and integrated the Detection API into the main API for consistent routing and handling. Fixed detection accuracy by correcting the BPP Ride ID type in queries. Updated UI assets to support NY XL Cab and Premium vehicles.
May 2025 monthly summary for nammayatri/nammayatri focusing on accessibility and alert noise reduction. Delivered end-to-end changes across the frontend and backend that improve user experience and reduce unnecessary notifications, with emphasis on business value and maintainability.
May 2025 monthly summary for nammayatri/nammayatri focusing on accessibility and alert noise reduction. Delivered end-to-end changes across the frontend and backend that improve user experience and reduce unnecessary notifications, with emphasis on business value and maintainability.
March 2025 performance summary: Delivered core ride-tracking enhancements and safety notifications across two repos, enabling real-time on-ride stop detection and proactive ride stoppage alerts. Implemented On-Ride Stop Detection with enhanced location filtering, extended Kafka stream with the new location type, and added a config toggle. Introduced SAFETY_ALERT_RIDE_STOPPAGE notification type and updated mappings to support safety alerts for unexpected stoppages. Refactored location filtering to distinguish between unfiltered and filtered data, improving analytics accuracy and pipeline reliability. No major bugs reported this month; focus remained on feature delivery and reliability. Technologies demonstrated include Kafka streaming, event-driven architecture, backend refactoring, and cross-repo collaboration.
March 2025 performance summary: Delivered core ride-tracking enhancements and safety notifications across two repos, enabling real-time on-ride stop detection and proactive ride stoppage alerts. Implemented On-Ride Stop Detection with enhanced location filtering, extended Kafka stream with the new location type, and added a config toggle. Introduced SAFETY_ALERT_RIDE_STOPPAGE notification type and updated mappings to support safety alerts for unexpected stoppages. Refactored location filtering to distinguish between unfiltered and filtered data, improving analytics accuracy and pipeline reliability. No major bugs reported this month; focus remained on feature delivery and reliability. Technologies demonstrated include Kafka streaming, event-driven architecture, backend refactoring, and cross-repo collaboration.
February 2025 monthly summary for nammayatri/nammayatri focusing on delivering critical dispatch reliability improvements and code quality enhancements. Key driver-focused delivery implemented to improve notification reliability, with accompanying refactor that clarifies cache key generation for driver-arrival notifications. These changes reduce missed-driver arrivals and improve maintainability of the notification subsystem, contributing to better user experience and operational efficiency.
February 2025 monthly summary for nammayatri/nammayatri focusing on delivering critical dispatch reliability improvements and code quality enhancements. Key driver-focused delivery implemented to improve notification reliability, with accompanying refactor that clarifies cache key generation for driver-arrival notifications. These changes reduce missed-driver arrivals and improve maintainability of the notification subsystem, contributing to better user experience and operational efficiency.
Concise monthly performance summary for 2024-11, highlighting delivered features, bug fixes, impact, and technical skills demonstrated across two repositories (nammayatri/nammayatri and nammayatri/asset-store).
Concise monthly performance summary for 2024-11, highlighting delivered features, bug fixes, impact, and technical skills demonstrated across two repositories (nammayatri/nammayatri and nammayatri/asset-store).
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