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SurbhiAgarwal

PROFILE

Surbhiagarwal

Worked on backend and API development using Go, focusing on observability and performance optimization across the beckn-onix and fabric-token-sdk repositories. Delivered a telemetry enhancement for beckn-onix by extracting action data from request bodies, enabling more granular metric labeling and improved error handling, with comprehensive tests to validate extraction logic. In fabric-token-sdk, implemented Lagrange denominator inverse caching to eliminate redundant O(n²) cryptographic computations, resulting in faster proofs and verifications for large-scale deployments. Emphasized test-driven development and responded to mentor feedback, strengthening code quality and reliability. Demonstrated skills in cryptography, telemetry instrumentation, and scalable backend engineering practices.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
2
Lines of code
580
Activity Months1

Your Network

53 people

Shared Repositories

53

Work History

April 2026

2 Commits • 2 Features

Apr 1, 2026

April 2026 monthly summary focusing on key features delivered, major fixes, and technical accomplishments across two repositories: beckn-onix and fabric-token-sdk. Highlights include observability and telemetry improvements in Beckn Onix and a performance optimization in Fabric Token SDK that reduces cryptographic recomputation. The work delivered business value through better operational visibility, faster incident diagnosis, and more scalable proofs/verification. Key outcomes: - Beckn Action Telemetry and Observability: action extraction from request bodies for metric labeling, action-based telemetry attributes, improved error handling, and tests validating the extraction logic. This enables more precise metrics, faster troubleshooting, and higher reliability of service monitoring. Commit: 2b3b4eedcf8bd1b909130f3961e2340bfa2a600f. - Fabric Token SDK: Lagrange Denominator Inverse Caching to eliminate O(n^2) recomputation in proofs and verifications, delivering meaningful performance improvements for cryptographic operations in larger deployments. Commit: a059326520b1489eb6add852a0eb0045e79e55a9. Overall impact and accomplishments: - Improved observability and actionable metrics for Beckn flows, reducing mean time to diagnose issues and enabling proactive reliability improvements. - Substantial performance optimization for cryptographic operations, enabling higher throughput and lower latency in verification-heavy scenarios. - Strengthened code quality via tests and responsiveness to mentor feedback on observability metrics. Technologies/skills demonstrated: - Telemetry instrumentation and metrics labeling, error handling improvements, and test-driven validation. - Performance optimization through caching of expensive computations (Lagrange denominators). - Cross-repo collaboration and alignment with best practices in observability, testing, and performance engineering.

Activity

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Quality Metrics

Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance90.0%
AI Usage30.0%

Skills & Technologies

Programming Languages

Go

Technical Skills

API developmentbackend developmentcryptographyperformance optimizationtesting

Repositories Contributed To

2 repos

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

beckn/beckn-onix

Apr 2026 Apr 2026
1 Month active

Languages Used

Go

Technical Skills

API developmentbackend developmenttesting

hyperledger-labs/fabric-token-sdk

Apr 2026 Apr 2026
1 Month active

Languages Used

Go

Technical Skills

cryptographyperformance optimizationtesting