EXCEEDS logo
Exceeds
Mayank Solanki

PROFILE

Mayank Solanki

Worked on DEFRA/grants-ui to deliver two features focused on backend data modeling and performance testing. Developed a suite of JSON-based mock data sets to simulate realistic Data Access Layer scenarios, enabling repeatable and scalable performance tests that help identify regressions early. Enhanced the address data model to support both structured and unstructured formats, adding fields such as UPRN and building name to improve data completeness and downstream validation. Updated mock data to reflect these changes, ensuring robust test coverage. Demonstrated skills in API development, JSON manipulation, and backend data management, with disciplined Git-based collaboration throughout the development process.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

5Total
Bugs
0
Commits
5
Features
2
Lines of code
5,002
Activity Months2

Work History

February 2026

4 Commits • 1 Features

Feb 1, 2026

February 2026: DEFRA/grants-ui focused on strengthening address data handling to support flexible capture, validation, and downstream data quality. Delivered Address Data Model Enhancements that enable both structured and unstructured addresses and added UPRN, buildingName, buildingNumberRange, and pafOrganisationName. This work improves data completeness, supports addresses without street data, and enhances downstream processes and user validation. Mirrored changes in mock data to align with the new model and address variations, ensuring robust testing and smoother deployment.

November 2025

1 Commits • 1 Features

Nov 1, 2025

Month: 2025-11 — DEFRA/grants-ui delivered a focused feature to strengthen performance testing capabilities by introducing DAL mock data sets. A series of JSON files model realistic Data Access Layer scenarios, representing entities and their land parcels to support performance tests. Commit 7f2539915aea0bc994eaa6a579c111c868d55f98 added mocks for performance testing (#425). No major bugs fixed this month. Overall impact: enhanced testing fidelity, enabling reliable baselining and earlier detection of performance regressions, thereby reducing risk to production readiness. Technologies/skills demonstrated: JSON data modeling, mock data generation, performance testing practices for DAL, and disciplined Git-based collaboration.

Activity

Loading activity data...

Quality Metrics

Correctness88.0%
Maintainability88.0%
Architecture88.0%
Performance88.0%
AI Usage32.0%

Skills & Technologies

Programming Languages

JSON

Technical Skills

API developmentJSON handlingJSON manipulationbackend developmentdata managementdata modelingmock data generationperformance testing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

DEFRA/grants-ui

Nov 2025 Feb 2026
2 Months active

Languages Used

JSON

Technical Skills

data modelingmock data generationperformance testingAPI developmentJSON handlingJSON manipulation