Personal portfolio · technical hiring evidence · 20 October 2026
Kamal Babu Gokanakonda
Independent, AI-assisted work in cost reconciliation, review workflows and infrastructure planning. Inspect the inputs, implementation and decisions behind each example.
Target roles: AI implementation, solutions engineering and technical product operations.
Bachelor of Science in Management, magna cum laude Bachelor of Arts in Psychology, magna cum laude Minor: Leadership Studies · Conferred August 8, 2026 · GPA: 3.85
Case 007 · Runnable synthetic work sample
3PL Cost Leakage Digital Twin
Turn synthetic invoice and rate tables into a row-linked exception report.
Try: Load the fixture or two synthetic CSV files, change an amount, inspect excluded rows and export the report.
Bounded USD flat-rate comparison. No live logistics connection, real invoices, audited overcharges, recovered savings, client adoption or commercial freight-audit capability is claimed.
Make missing intake evidence and human-review boundaries explicit before routing a request.
Try: Edit the synthetic request, remove a required field, change required-field policy and inspect the resulting clarification state.
Author-configured policy, not a practitioner-validated top three. No deployed LLM, autonomous decision, backend ticketing service, client use or measured resolution-time gain.
Project direction by Kamal; AI-assisted implementation and verification. These independent synthetic examples expose code, inputs, review states and limits. The scenario extensions sit alongside unchanged published baseline case figures.
They demonstrate inspectable implementation work, not unaided coding, client adoption, commercial results, institutional endorsement or measured cost savings.
Media, platforms & capital allocation → Provisional research snapshot — pending final Iteration 15 replacement and independent release audit. It remains supporting research rather than a completed analytical release.