nammayatri/nammayatri
Mar 2026 – Mar 2026
1 Month active
Languages Used
HaskellSQLYAML
Technical Skills
API developmentAPI optimizationHaskellSQLbackend developmentconcurrent programming
Mohamed Hamdan Assan Ali
PROFILE
Mohamed Hamdan Assan Ali
Worked on the nammayatri/nammayatri repository to deliver three backend features focused on API performance and data management. Developed and optimized APIs using Haskell and SQL, introducing concurrent processing to reduce latency and improve throughput for route serviceability operations. Enhanced data granularity by enabling vehicle-specific data retrieval and implemented a new data model for managing vehicle seat layouts, including database-backed storage and caching strategies. Applied skills in API development, database design, and concurrent programming to create maintainable, scalable solutions. These changes resulted in faster API responses, more precise data access, and improved operational visibility for analytics and decision-making processes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
901
Activity Months1
Your Network
133 peopleSame Organization
@nammayatri.in12
Achal PandeyMember
Adam Dhayfa UmarMember
Akhilesh BhadauriyaMember
aashok3Member
arnab.kumarMember
Shree Harish SMember
KaranMember
kartik keyan kantMember
MustafaMember
Work History
March 2026
4 Commits • 3 Features
Mar 1, 2026March 2026 — NamMayatri/nammayatri delivered key API performance improvements and data-model enhancements, boosting responsiveness and data granularity for operations and analytics. Key features delivered include: Route Serviceability API Performance Enhancement, Vehicle Data Retrieval by Vehicle Number API, and Vehicle Seat Layout Management. Major bugs fixed include: resolved IO bottlenecks and latency in routeServiceability through concurrent processing, stabilized granular vehicle data queries via vehicleNo-based fetch, and ensured reliable access to seat layout mappings with a new DB-backed model and caching. Overall impact: faster end-to-end API responses, more precise data retrieval, and scalable seat layout management, enabling better operational visibility and decision making. Technologies and skills demonstrated: concurrency patterns (mapConcurrently), API design and iteration, data modeling (VehicleSeatLayoutMapping), caching strategies, DB integration, and RESTful endpoint design. Business value: reduced latency, higher throughput, granular data access, and maintainable architecture for future features.
4 Commits • 3 Features
Mar 1, 2026March 2026 — NamMayatri/nammayatri delivered key API performance improvements and data-model enhancements, boosting responsiveness and data granularity for operations and analytics. Key features delivered include: Route Serviceability API Performance Enhancement, Vehicle Data Retrieval by Vehicle Number API, and Vehicle Seat Layout Management. Major bugs fixed include: resolved IO bottlenecks and latency in routeServiceability through concurrent processing, stabilized granular vehicle data queries via vehicleNo-based fetch, and ensured reliable access to seat layout mappings with a new DB-backed model and caching. Overall impact: faster end-to-end API responses, more precise data retrieval, and scalable seat layout management, enabling better operational visibility and decision making. Technologies and skills demonstrated: concurrency patterns (mapConcurrently), API design and iteration, data modeling (VehicleSeatLayoutMapping), caching strategies, DB integration, and RESTful endpoint design. Business value: reduced latency, higher throughput, granular data access, and maintainable architecture for future features.
March 2026
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture85.0%
Performance85.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
HaskellSQLYAML
Technical Skills
API developmentAPI optimizationHaskellSQLbackend developmentconcurrent programmingdatabase designdatabase management
Repositories Contributed To
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