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.
Build a FastAPI endpoint with validated inputs
Framework-generated documentation is useful only when the request model expresses the real boundary. Empty identifiers and negative amounts should fail before business logic.
Build a forecast handover for an inventory planner
A model file is not a forecast handover. An inventory planner needs to know what each row means, when the forecast was issued, which horizons are included, how uncertainty should be read, which assumptions condition the
Build a human correction loop for extracted documents
A correction interface should improve the current record and create trustworthy learning evidence. Automatically feeding every edit into training can import reviewer mistakes, personal data and evaluation leakage.
Build a keyword retrieval baseline before vector search
Keyword retrieval is fast, inspectable and often strong for identifiers, policy terms and exact phrases. Build it before dense retrieval so added infrastructure has a fair baseline to beat.
Build a lightweight experiment tracking convention
Experiment tracking begins with a complete record, not a particular platform. Each run should answer which code, data, parameters and environment produced which artifact and metric, and what decision followed.
Build a local integration sandbox with synthetic data
An integration project needs repeatable success and failure cases. A sandbox should be small, deterministic and clearly separate from production.
Build a mathematics revision plan from model failure cases
A useful mathematics revision plan starts with a model behavior you cannot yet explain. It ends with a corrected calculation, a reproducible check and a statement of the remaining limitation. Completing a list of formula
Build a meeting-action extractor with source references
A fluent action list can assign work nobody accepted. Every proposed task should point to the transcript evidence and make missing owner or deadline visible.
Build a monthly customer cohort table in SQL
A monthly customer cohort groups customers by a shared starting month, then measures their activity in later months. The cohort denominator stays tied to the original group. New customers acquired later should not silent
Build a nearest-neighbour recommendation explanation
A nearest-neighbour recommender can explain which item served as the reference and which features contributed to similarity. A faithful similarity explanation is narrower than “you will like this.”
Build a neural network baseline before adding more layers
More layers increase a neural network’s capacity, tuning surface and operating cost. They do not guarantee better future performance. A useful experiment starts with a linear reference, adds one small hidden layer, then
Build a one-page analytical decision memo
A one-page analytical decision memo should help a reader decide what to do next and understand why. Lead with the decision request, support it with a few checked facts, compare the relevant options and state the limitati
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