Real world functional programming in Ads serving by Sathish Kumar

This talk will be about how we applied Typed functional programming and object-functional concepts inspired from languages like Scala, Haskell in building an Ads serving engine using Java 8 and made the stack extensible for multiple Ads serving usecases like App, Desktop, Exchange and ML model execution for CTR prediction, Guaranteed delivery etc.

This talk will focus on how we solved problems in an Ads serving engine using functional programming constructs for:

Relevance and Ranking
CTR prediction
Bidding models
Guaranteed delivery (Convex Optimization)
Explore / Exploit (Multi-armed bandit)
Attribution, Deduplication etc
From a language level, it will focus on how we applied our learnings from other functional languages like Scala, Clojure, Haskell in Java 8 to write elegant code for:

Composing Ad selection workflows from reusable components
Reasoning about code through immutability
Defining interfaces like function types. Functions as first class objects to express behaviour.
Using Builders and Filter predicates for adding new features
Transforming collections using streams, lambdas, map, reduce, flatMap, groupBy
Optional for writing null safe code and handling defaults using map, flatMap, orElse
Functional operations like partition, zip for simplifying code
Pattern matching and other features from libraries
Caching and memoization