Learn the work behind Data, AI & Forward Deployed Engineering
Practical explanations, career decisions and reproducible workflows. Read the reasoning, inspect the evidence and follow the next skill into a real programme.
Write a feature ablation study that answers a question
An ablation study removes or adds a defined feature group while holding the rest of the experiment fixed. It can test incremental predictive value, robustness or maintenance trade-offs. It does not establish the causal e
Write a metric contract that prevents dashboard arguments
A metric contract is a written, testable definition of a measure. It states which records qualify, what one contribution represents, how time and units are handled, and what the result does not mean. It reduces dashboard
Write a model adaptation experiment report
An experiment report should let a reviewer understand the decision and a practitioner reproduce the run. A list of hyperparameters without data, environment, adverse results and acceptance criteria is incomplete.
Write a model card for a portfolio project
A model card helps a reader understand what a model was built to do, how it was evaluated and where its evidence ends. It should summarize an actual experiment, with links to supporting artifacts, rather than read like a
Write a model selection decision record
A leaderboard or one demo cannot explain why a model fits an application. A decision record ties selection to the exact task set, constraints, configuration and evidence available at a date.
Write a one-page scope with explicit exclusions
Scope protects the client and delivery team by making the promised boundary visible. Exclusions are especially important for a portfolio simulation.
Write a project README that an interviewer can verify
A useful project README lets a reader understand the question, run the work and compare the output with a stated expectation. It should also explain what you contributed, what the data represents and which conclusions th
Write a Python function with a clear input contract
A useful function contract states what inputs mean, which values are valid, what the function returns and how invalid input fails. Type hints help communicate that contract, but Python does not automatically enforce ever
Write a reusable Python module from a notebook
Extract the stable calculation into functions with explicit inputs and outputs, then let the notebook call those functions. Keep exploratory charts and narrative in the notebook while moving repeatable parsing, validatio
Write a structured-output contract for an LLM task
“Return JSON” specifies a serialization format, not the business contract. A useful output definition states required fields, allowed values, bounds, evidence relationships and what to emit when the task cannot be suppor
Write an agent runbook for partial completion
Multi-step work rarely fits “success” or “failed.” A run may validate, retrieve and draft successfully before ticket creation fails. Operators need exact side effects and a safe resume path.
Write an AI assurance report with reproducible evidence
An assurance report should let an independent reviewer understand what the system does, what was tested, what failed and which conclusions are still conditional. It is an evidence index, not a confidence statement.
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