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.

Open the work sample → Inspect implementation →

Case 008 · Synthetic workflow prototype

AI Operations Control Tower

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.

Open the work sample → Inspect implementation →

Case 005 · Synthetic dependency/scenario prototype

Data-Center Speed-to-Power War Game

Separate screened research-computing demand, dependency evidence and fallback cost assumptions before a readiness decision.

Try: Change screened demand, capacity, dependency readiness or fallback cost; inspect recalculated ratios and explicit review issues.

Research-computing allocation scope. No commercial data-center forecast, validated stakeholder ranking, procurement approval, calibrated probability or realized outcome.

Open the work sample → Inspect implementation →

Contribution and interpretation

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.

Architecture, reproducible commands and public-safe artifacts →Choose a capability route →

Supporting research

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.