Computer & Information Sciences
Information Systems Challenges
Real information-systems challenges on Ewance — model data, integrate systems, and align technology with how an organisation actually runs. Solve them to build a portfolio of verified, recruiter-checkable proof you can do the work — not just describe it.
Recommended challenges
- CodeIntermediateNew
Port a Monte Carlo Engine to CUDA for an Asset Manager
Profile the CPU MC engine to identify the kernel candidates: path generation (Brownian motion + correlated factors), payoff evaluation, aggregation. Port to CUDA: use cuRAND for…
- Cuda
- Monte Carlo
- Gpu Programming
High-Performance and Scientific Computing - DesignIntermediateNew
Design Parallel I/O for a Climate-Simulation Data Pipeline
Analyze the current I/O pattern: each MPI rank writes its own file via serial HDF5 (the classic anti-pattern). Design a single shared file using parallel HDF5 + MPI-IO with coll…
- Mpi Io
- Parallel Hdf5
- Lustre Filesystem
High-Performance and Scientific Computing - AnalysisIntermediateNew
Cost-Profile a Spark Job at Scale and Cut the Bill in Half
Receive the PySpark job (around 1,800 lines), 5 nights of Spark UI + EMR metrics, and the EMR cluster config. Profile to find the top 3 cost drivers (likely candidates: skewed j…
- Spark
- Cost Optimization
- Etl Pipelines
Big Data and Data-Intensive Systems - CodeBeginnerNew
Implement Async Message-Passing for an IoT Gateway
Receive the current gateway source (Python 3.11, single-threaded paho-mqtt client + a serial HTTP forwarder, ~1,100 lines), a sensor-simulator that fans out 500 mock sensors at …
- Async Programming
- Message Passing
- Asyncio
Concurrent and Parallel Programming Develop in-demand professional skills.
Each challenge names the skills it strengthens. Over time, your profile fills with the competences a hiring manager would actually look for.
Why Ewance
- AnalysisBeginnerNew
Audit a Linux Distribution for Setuid Binary Risk
Mount the provided base image (Ubuntu 22.04 LTS derivative) and inventory all setuid + setgid binaries. For each, classify into 4 buckets: legitimately needed, replaceable with …
- Os Security
- Linux Administration
- Setuid Analysis
Operating Systems - AnalysisBeginnerNew
Cluster a Mid-Market SaaS Customer Base for Account-Tier Re-segmentation
Pull 12 months of usage signals from the warehouse: feature adoption depth, session frequency, integration counts, ticket volume, NPS (Net Promoter Score), seat utilization. Sta…
- Clustering
- K Means
- Hdbscan
Data Mining and Information Retrieval - AnalysisIntermediateNew
Frequent-Itemset Mining on a Grocery Retailer's Basket History
Load 18 months of basket-level transaction data (Parquet, around 92 GB) into a Spark cluster. Run FP-growth at support thresholds tuned per category (food vs household vs fresh)…
- Frequent Itemset Mining
- Fp Growth
- Spark
Data Mining and Information Retrieval - CodeSeniorNew
Port a CPU Monte-Carlo Simulator to GPU for an Energy Trader
Receive the existing simulator (C++17 + OpenMP, around 5,000 lines), the test book (around 8,000 spread options), and access to an H100 80GB. Port to CUDA: random-number generat…
- Gpu Programming
- Cuda
- Monte Carlo
Advanced Concurrency and Parallel Computing - Browse challenges
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Strategy Analyst
Frame the business question, model the options, build the recommendation. From market sizing to competitive analysis, this role is where strategy consulting meets in-house decision-making.
- CodeIntermediateNew
Build a BM25 + Embeddings Hybrid Search for a Legal-Tech Document Portal
Stand up an OpenSearch cluster with BM25 indexing on the 2.4M-document corpus. Generate dense embeddings (you choose the model; justify cost and quality trade-offs) and index th…
- Information Retrieval
- Bm25
- Vector Search
Data Mining and Information Retrieval - AnalysisIntermediateNew
Tune Consistency Levels for a Global Ride-Hailing Platform
Receive an anonymized topology export (3 regions, RF=3 per region) plus 7 days of query traces tagged by class. Reproduce the matching anomaly in a Kubernetes-based test cluster…
- Consistency Models
- Cassandra
- Distributed Tracing
Distributed Systems - CodeIntermediateNew
Build a 5-Stage Pipelined RISC-V Core in Verilog
Implement the 5-stage pipeline with: hazard detection unit, forwarding paths (EX/MEM to EX, MEM/WB to EX), pipeline stalls for load-use hazards, and a simple static branch-not-t…
- Pipelining
- Hazard Detection
- Verilog
Computer Architecture - CodeSeniorNew
Heterogeneous Scheduling Policy for a Big.LITTLE Mobile SoC
Read the existing scheduler's energy model (provided). Design an improved policy using one or more of: per-task IPC-aware placement, exponential moving average load smoothing to…
- Multicore Architecture
- Scheduling
- Energy Modeling
Advanced Computer Architecture Get recognized by recruiters and employers.
Credentials are blockchain-anchored via LearnCoin — tamper-evident, portable, link-shareable on LinkedIn and beyond.
Why Ewance
- AnalysisBeginnerNew
Add Indexes to a Slow FinTech Reporting Database
Read the 6 reporting queries and capture their EXPLAIN ANALYZE output on staging (a refresh of prod, around 90M rows). Identify the minimum set of indexes that improves all 6 by…
- Indexing
- Query Optimization
- Explain Analyze
Introduction to Database Systems - CodeSeniorNew
Profile and Tame a P99-Latency Tail for an Ad-Auction Service
Receive the bidder source (Go, around 22,000 lines), production traces (eBPF + flame graphs from 30 minutes of peak traffic), and the host config (NUMA-2 socket, 96 cores, 384GB…
- Performance Optimization
- Ebpf
- Go
Performance Engineering of Software Systems - CodeIntermediateNew
Tune a Multicore Pipeline with NUMA-Aware Sharding
Receive the current worker (Rust, around 8,000 lines, uses rayon for its parallelism), the host (2-socket AMD EPYC 9354, 64 cores total, 384GB DDR5), and a benchmark query workl…
- Parallel Performance
- Numa
- Rust
Advanced Concurrency and Parallel Computing - AnalysisIntermediateNew
Build a Performance Model for a Molecular-Dynamics Job
Build an analytical performance model covering: compute time per step (function of atom count + cutoff + interaction type), inter-rank communication cost (function of decomposit…
- Performance Modeling
- Gromacs
- Benchmark Design
High-Performance and Scientific Computing - CodeBeginnerNew
Implement a User-Space Shell with Process and Signal Handling
Implement a shell in C (no shell helpers, just POSIX system calls). Required features: read a line, parse it into commands + arguments, handle pipelines with arbitrary chain len…
- System Calls
- Process Management
- Signal Handling
Computer Systems and Organization - AnalysisIntermediateNew
Design a Custom Page-Replacement Policy for a Tier-1 Cloud Provider Simulator
Use the provided simulator (Python harness wrapping a C++ page-cache model) and the team's 3 anonymized workload traces (web-cache, key-value store, batch analytics). Implement …
- Memory Management
- Page Replacement
- Benchmarking
Operating Systems - CodeBeginnerNew
Build an I/O Benchmarking Harness for an Edge Storage Appliance
Receive the appliance specs (4x 7.68TB Gen4 NVMe, ZFS, Linux kernel 5.15), the 3 target workload profiles (4KB random read at QD32, 1MB sequential write at QD8, mixed 70/30 read…
- Io Benchmarking
- Fio
- System Calls
Computer Systems and Organization - AnalysisSeniorNew
Diagnose and Fix Query-Planner Misestimates in a FinTech Warehouse
For each of the 6 queries, capture EXPLAIN (ANALYZE, BUFFERS) and compare estimated vs actual rows at each node. Identify the misestimate source per query (single-column stats s…
- Query Optimization
- Postgresql Planner
- Extended Statistics
Advanced Database Systems - AnalysisIntermediateNew
Tune Concurrency Control on a Multi-Tenant OLTP Database
Capture 6 hours of pg_locks + pg_stat_activity snapshots during peak. Identify the top 8 contention hotspots and classify each (row-level conflict, deadlock cycles, FOR UPDATE p…
- Concurrency Control
- Lock Contention
- Postgresql
Advanced Database Systems - CodeSeniorNew
Implement Raft Consensus for a Self-Hosted Feature-Flag Service
Implement the core Raft algorithm (leader election, log replication, snapshotting) from the original Ongaro & Ousterhout paper. Use an embedded key-value store (BoltDB or sled) …
- Raft Consensus
- Go Programming
- Grpc
Distributed Systems - AnalysisIntermediateNew
Evaluate OS-Level Containment for a Multi-Tenant Edge Platform
Set up reproducible environments for gVisor, Firecracker, and Wasmtime on identical hardware (4 vCPU, 8 GB RAM). Run the platform's 4 workload archetypes (anonymized): API proxy…
- Containment
- Virtualization
- Wasm
Advanced Operating Systems - AnalysisIntermediateNew
Tune OpenMP Performance on a Memory-Bound Genomics Pipeline
Profile the existing pipeline at 1, 4, 8, 16, 32, 48, 64 threads using Intel VTune + Linux perf. Identify the bottlenecks (likely candidates: NUMA-unaware memory allocation, fal…
- Openmp
- Numa Awareness
- False Sharing
High-Performance and Scientific Computing
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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