PANI

Viswanath Lokepalli

@viswaMid-level buildergithub.com/vijayatechlabs

Public-work score

43/100

Cross-checks resume claims against public GitHub work. Higher scores mean stronger corroborating evidence.

Mid-level
Technical Depth
8/20
Experience Authenticity
18/20
Public Contribution
5/20
Claim Consistency
7/20
Domain Fit
5/20

Demonstrated capabilities

CI CD60% confidence

Consistent activity with 172 commits and 38 PRs in the last 12 months, suggesting involvement in structured development workflows.

GitHub activity

Verified stack

TypeScriptHTMLPHPGo TemplateCSSShell

Key evidence

  • GitHub account active for 7 years with 1633 total contributions.
  • Consistent activity over the last 12 months with 172 commits and 38 PRs.
  • Primary tech stack on GitHub: TypeScript (65.3%), HTML (11.8%), PHP (6.8%).
  • Limited public footprint: 8 public non-fork repos with 19 total stars and 0 external OSS PRs.
  • No direct GitHub evidence (e.g., specific AI/ML frameworks, Python) to support claimed 'AI Engineer' or 'Systems Architect' expertise.

Strengthen your public proof

Coaching only — a lower score usually means limited public evidence, not a fraud flag.

  • Pin 2–3 repositories that best represent work you actually built (class projects and hackathons count).
  • Prefer one solid original project over many tutorial clones — depth beats green squares.
  • Make the README state the problem, your role, and the stack so evidence is easy to verify.

Scored 11 Sept 2026