Computer Science
Architecture & System Design Challenges
Architecture & System Design challenges put you inside the work of shaping how large software systems fit together. You'll build skills in systems design fundamentals, architecture diagrams, and the C4 model, capturing decisions in Architecture Decision Records (ADRs) the way engineering teams keep their reasoning legible.
From there you'll take on the harder edges — distributed systems design, event-driven architecture, and microservices patterns — driving alignment through RFC authorship and cross-team architecture stewardship while keeping developer experience front of mind. Each challenge you solve earns a verified credential you can share with recruiters.
Recommended Challenges
· Distributed systems design Clear- CodeSeniorNew
Design a Raft-Based Consensus Layer for a Multi-Region Database
Implement Raft in Go per the original Ongaro-Ousterhout paper: leader election, log replication with the safety property, snapshotting at 10K-entry granularity, and joint-consen…
- Distributed Consensus
- Raft
- Fault Tolerance
Parallel and Distributed Algorithms - CodeIntermediateNew
Implement Bulk Synchronous Parallel PageRank on a 1.5B-Edge Graph
Choose either Apache Spark + GraphX (Pregel API) or a vanilla MPI + C++ implementation. Run 25 iterations of PageRank on the 1.5B-edge graph (graph file format provided: CSR par…
- Parallel Algorithms
- Bsp
- Graph Algorithms
Parallel and Distributed Algorithms - DesignSeniorNew
Multi-Region Active-Active Architecture for a Gaming Backend
Read the current architecture (single-region: ECS + RDS Aurora + Redis + S3) and traffic mix (around 60 percent APAC, 25 percent NA, 15 percent EU). Design a 3-region active-act…
- Multi Region Architecture
- AWS Or Azure
- Terraform
Cloud Computing - DesignSeniorNew
Formal Specification of a Rate-Limit Service in TLA+
Specify the rate-limit service's lease-renewal protocol in TLA+ (PlusCal acceptable for readability). Model 3 invariants: (1) at most one node holds a lease for a tenant at any …
- Tla Plus
- Formal Specification
- Model Checking
Requirements Engineering Practice your coursework on real scenarios.
Every challenge is shaped from real industry context — not generic exercises. The work mirrors what your degree prepares you for.
Why Ewance
- CodeIntermediateNew
Scale Feature Pipelines for a Hyperscaler Search-Ranking Team
You receive a synthetic-but-realistic 80 GB sample of the ranking events plus the existing Spark pipeline (PySpark) and a Spark UI snapshot from a recent production run. Profile…
- Apache Spark
- Distributed Systems Design
- Performance Profiling
Machine Learning at Scale - CodeSeniorNew
Implement Distributed Shared Memory Over RDMA for a Trading Firm
Build a DSM library in C++ exposing a region API (allocate, read, write, free). Use ibverbs for RDMA primitives (one-sided read/write, atomics for the directory). Implement dire…
- Distributed Systems Design
- Rdma
- Consistency Models
Advanced Operating Systems - CodeSeniorNew
Implement a Proof-of-Stake Consensus Mechanism in Rust
Read the Casper FFG paper (Buterin + Griffith, 2017) and design a simplified PoS implementation in Rust: 21 validators, 32-slot epochs, two-phase finality (justify, then finaliz…
- Consensus Algorithms
- Blockchain Protocols
- Systems Language Proficiency (Go, Rust, C++)
Blockchain and Decentralized Systems Engineering - CodeIntermediateNew
Build a Federated Learning Prototype Across Two Hospitals
Simulate two sites with non-IID data splits (one site skews older, the other younger). Implement FedAvg using Flower (or PySyft). Run for at least 50 communication rounds; repor…
- Federated Learning
- Fedavg
- Secure Aggregation
Privacy-Preserving Machine Learning - Browse challenges
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Product Manager
Ship product that solves real user problems. Combine user research, prototyping, and stakeholder alignment to turn ambiguous briefs into measurable wins — the role at the centre of modern software teams.
How it works
From brief to credential, in six steps.
Step 01
Browse challenges aligned to your studies.
Step 02
Accept the one that fits your goals.
Step 03
Work through it with AI Copilot guidance.
Step 04
Submit for structured evaluation.
Step 05
Earn a verified credential.
Step 06
Add it to LinkedIn with one click.
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