Interactive buildLatest release case study

Automated Java & Python Grading Engine

Name: Automated Java & Python Grading Engine
Author: Zain Khalil Khan

Instructors need consistent, explainable grading across code submissions without losing the evidence behind each score.

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Autograder

Isolated code evaluation

AutograderWorkspace4 updates

AutograderISOLATED SUBMISSION RUNNER

worker timeout: 2000ms

ASSIGNMENT 04 · FUNCTIONS

solve(a, b): return the sum of a and b, squared: (a + b)^2

Every submission executes in an isolated Web Worker, the same sandbox model the real engine uses for untrusted Java and Python code. Pick a student file or edit it live.

Gradebook

No submissions graded yet

Grade any submission above and it lands here.

Zain Khalil Khan

My Role

Full-stack and educational systems engineer

What I Built

Hybrid grading system that compiles, executes, and evaluates student submissions at scale. Custom Java test harness with Python orchestration, sandboxed environments, and detailed pass/fail reports.

Evidence

Working interface, documented system behavior, and implementation-level decisions.

Technical Architecture

From system input to explainable output.

The control gate is shown as a first-class stage, not an afterthought added around the workflow.

Technical Decisions

Built a hybrid grading engine that compiles, runs, and evaluates Java and Python submissions at classroom scale without manual intervention.
Orchestrated runs from Python with per-submission isolation, wall-clock timeouts, and memory ceilings so an infinite loop cannot stall the batch.

Security Considerations

The public case study makes no additional security claim beyond the documented controls shown in the architecture.

Outcome & Evidence

Generated per-student reports naming the input, expected value, and actual value for every failing case instead of returning only a score.

JavaPythonAutomationEducation TechCLI

Working product

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