
Tejaswini contributed to the nammayatri/nammayatri repository by building and enhancing backend features focused on journey management, fare handling, and ride operations. Over five months, she delivered robust API endpoints and data model improvements using Haskell, SQL, and YAML, addressing challenges such as multimodal search, booking accuracy, and payment synchronization. Her work included implementing user preference-driven routing, resilient fare fallback logic, and ETA estimation with caching for timely updates. By refining database schemas and integrating logging enhancements, Tejaswini improved system reliability, data integrity, and operational visibility, demonstrating depth in backend development, API design, and database management throughout the project.
Month: 2025-11 | Repositories: nammayatri/nammayatri. Focused on delivering core ride-management enhancements and backend reliability. Key outcomes include feature delivery for logging enhancements and ETA estimation/caching, improved debugging capabilities, and caching to support timely updates for riders and drivers. These efforts strengthen operational visibility, responsiveness, and user experience, contributing to faster issue resolution and measurable business value.
Month: 2025-11 | Repositories: nammayatri/nammayatri. Focused on delivering core ride-management enhancements and backend reliability. Key outcomes include feature delivery for logging enhancements and ETA estimation/caching, improved debugging capabilities, and caching to support timely updates for riders and drivers. These efforts strengthen operational visibility, responsiveness, and user experience, contributing to faster issue resolution and measurable business value.
In September 2025, delivered a targeted feature to configure the bus route name for journey legs in nammayatri/nammayatri, along with a related bug fix. This work improves route clarity, API consistency, and maintainability across API definitions, type definitions, and domain logic.
In September 2025, delivered a targeted feature to configure the bus route name for journey legs in nammayatri/nammayatri, along with a related bug fix. This work improves route clarity, API consistency, and maintainability across API definitions, type definitions, and domain logic.
June 2025: NAMMAYATRI/NAMMAYATRI delivered critical FRFS tier switch improvements to ensure bookings and payments reflect the correct pricing when a user changes tiers. Key achievements include API enhancement to return total fare, a new function to update booking and payment details based on the new quote and calculated total, and a fix ensuring bookings/payments are updated on tier switches, reducing billing discrepancies and improving revenue integrity. Tech stack and skills demonstrated include API design and data synchronization, pricing logic, and test coverage to ensure end-to-end correctness.
June 2025: NAMMAYATRI/NAMMAYATRI delivered critical FRFS tier switch improvements to ensure bookings and payments reflect the correct pricing when a user changes tiers. Key achievements include API enhancement to return total fare, a new function to update booking and payment details based on the new quote and calculated total, and a fix ensuring bookings/payments are updated on tier switches, reducing billing discrepancies and improving revenue integrity. Tech stack and skills demonstrated include API design and data synchronization, pricing logic, and test coverage to ensure end-to-end correctness.
May 2025 Monthly Summary for nammayatri/nammayatri: Focused on delivering robust multimodal search enhancements, data integrity improvements, and resilient fare handling to enhance user experience and system reliability. Key features and fixes were implemented through targeted backend work, improving routing accuracy, error handling, and data consistency, while leveraging existing commits to drive progress.
May 2025 Monthly Summary for nammayatri/nammayatri: Focused on delivering robust multimodal search enhancements, data integrity improvements, and resilient fare handling to enhance user experience and system reliability. Key features and fixes were implemented through targeted backend work, improving routing accuracy, error handling, and data consistency, while leveraging existing commits to drive progress.
April 2025: Delivered two key enhancements in nammayatri/nammayatri that improve data granularity, user experience, and booking accuracy. Focused on subway journey detail enrichment and location-aware booking improvements.
April 2025: Delivered two key enhancements in nammayatri/nammayatri that improve data granularity, user experience, and booking accuracy. Focused on subway journey detail enrichment and location-aware booking improvements.

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