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Computer & Information Sciences Challenges
Real industry-shaped challenges across Computer & Information Sciences. Pick the specific field you're studying, solve an actual brief, and walk away with verified, portable proof recruiters can confirm in one click.
Recommended challenges
- CodeIntermediateNew
Containerized Model Inference on Kubernetes for a Fintech
You receive a pre-trained credit-risk model (a LightGBM model file) and a sample request payload. Containerize a FastAPI inference service, deploy to EKS or GKE (a single-zone c…
- Kubernetes Orchestration
- Containerization
- Autoscaling
Cloud Computing for Data and ML - AnalysisIntermediateNew
Cost-Optimize a Large-Scale Spark Job for an Ad-Tech Platform
You receive the Spark job source (PySpark), the EMR cluster config, and 5 nights of job-history JSON. Profile the job with the Spark UI + EMR metrics, identify the top 3 cost dr…
- Spark Optimization
- Cloud Services
- Cost Engineering
Cloud Computing for Data and ML - DesignSeniorNew
Multi-Region Failover for an Enterprise RAG Service
Design and prototype: (1) a primary-region deployment of the RAG service (vector DB + LLM inference + retrieval API), (2) a passive secondary region with replicated vector store…
- Multi Region Architecture
- Disaster Recovery
- Terraform
Cloud Computing for Data and ML - CodeBeginnerNew
GPU Cost Dashboard for an AI Consulting Practice
Pull AWS Cost and Usage Report, GCP billing export, and Lambda Labs invoices into a single Parquet table. Implement a tagging convention (project + client + experiment_id) and a…
- Cloud Cost Attribution
- Etl Pipelines
- Data Modeling
Cloud Computing for Data and ML 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
Build a Streaming Pipeline for Real-Time Fraud Detection
Receive 30 days of anonymized card-transaction events (around 240M events total), the team's existing batch features (cardholder behavior summaries), and a pre-trained fraud-sco…
- Stream Processing
- Kafka Event Streaming
- Flink
Big Data and Data-Intensive Systems - DesignIntermediateNew
Migrate a 200TB Data Lake from Parquet to Iceberg
Receive an inventory of the 200TB hot tier (around 1,200 tables, around 38 PB of historical data referenced), the current Spark + Trino read patterns, and 6 months of schema-cha…
- Iceberg
- Parquet
- Data Lake
Big Data and Data-Intensive Systems - AnalysisIntermediateNew
Optimize a Slow Trino Query Over a Petabyte Warehouse
Receive the slow SQL query (around 600 lines), the Trino EXPLAIN ANALYZE output, the underlying Iceberg table schemas (partition specs, sort orders), and 30 days of execution me…
- Trino
- SQL Optimization
- Iceberg
Big Data and Data-Intensive Systems - CodeIntermediateNew
Design a Change-Data-Capture Pipeline for an E-Commerce Reseller
Receive the MySQL schema (220 tables), 7 days of binlog samples, and the data team's freshness + correctness requirements. Design the CDC pipeline: Debezium for MySQL binlog cap…
- Change Data Capture
- Debezium
- Kafka Event Streaming
Big Data and Data-Intensive Systems - Browse challenges
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- 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…
- Apache Spark
- Finops & Cost Optimization
- Etl Pipelines
Big Data and Data-Intensive 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 - AnalysisBeginnerNew
Cache Configuration Study for a Memory-Bound Workload
Profile the existing inner loop on a workstation with perf to baseline L1/L2/L3 miss rates and miss latencies. Run the same loop through gem5's classic cache model under 6 confi…
- Caches
- Memory Subsystems
- Performance Modeling
Computer Architecture - AnalysisIntermediateNew
Branch Predictor Study for a Cryptocurrency Hashing Library
Profile the hot inner loop with perf record + perf annotate to identify the 5 highest-frequency branches. Measure per-branch mispredict counts using perf counters (BR_MISP_RETIR…
- Branch Prediction
- Performance Counters
- Benchmarking
Computer Architecture Build a verifiable portfolio.
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Why Ewance
- DesignBeginnerNew
Custom Accelerator Sketch for an Image-Processing Pipeline
Read the current C reference implementation of the 5x5 Gaussian blur (provided). Sketch a parallel datapath that produces 1 output pixel per cycle using a sliding 5x5 window ove…
- Hardware Accelerators
- Datapath Design
- Performance Modeling
Computer Architecture - AnalysisBeginnerNew
Instruction Set Analysis for an Embedded Workload
Compile all 12 workload programs to both ISAs using the appropriate cross-compiler (GCC with -march=rv32e for RISC-V; provided proprietary toolchain for the in-house ISA). Repor…
- Instruction Sets
- Code Density
- Embedded Systems
Computer Architecture - AnalysisIntermediateNew
Cache Coherence Protocol Comparison on a Multicore Simulator
Stand up gem5's Ruby coherence framework with both MESI and MOESI protocols on a 16-core configuration. Run the 6-benchmark suite (provided): producer-consumer queue, false-shar…
- Cache Coherence
- Multicore Architecture
- Simulation
Advanced Computer Architecture - AnalysisSeniorNew
Memory Consistency Model Audit of a Lock-Free Queue
Read the SPSC queue source (around 200 lines of C++). For each atomic operation, classify the required ordering and verify the chosen memory_order is sufficient under both x86-T…
- Memory Consistency
- Concurrency
- Lock Free Programming
Advanced Computer Architecture - AnalysisIntermediateNew
GPU Roofline Model Study for a Computer Vision Inference Workload
Construct empirical roofline plots for the current GPU (A100-class) and next-gen GPU (H100-class) using vendor-published peak FLOPs and measured peak memory bandwidth. Profile t…
- Gpu Architecture
- Roofline Model
- Performance Modeling
Advanced Computer Architecture - CodeIntermediateNew
Out-of-Order Execution Microbenchmark Suite
Design and implement 6 microbenchmarks: ROB capacity probe (varying chain length), load-store queue probe, branch mispredict cost probe, ILP saturation probe, store-to-load forw…
- Out Of Order Execution
- Performance Counters
- Benchmarking
Advanced 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 - AnalysisIntermediateNew
Diagnose a Memory-Hierarchy Bottleneck in a Trading-System Hot Path
Receive the normalizer source (around 4,000 lines of C++17), a replay harness that feeds 30 minutes of recorded market data, and host-machine specifications (Intel Xeon Gold 634…
- Memory Hierarchy
- Performance Profiling
- Perf
Computer Systems and Organization - CodeBeginnerNew
Reverse-Engineer a Stripped Binary to Restore Linking Symbols
Receive the stripped shared object (Linux ELF, x86-64, ~280KB), a crash dump with 12 frames of indecipherable addresses, and 4 years of partial git history with some related (bu…
- Reverse Engineering
- Linking And Loading
- Machine Code
Computer Systems and Organization - 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 - AnalysisBeginnerNew
Profile and Optimize a Virtual-Memory-Heavy Image Pipeline
Receive the Go pipeline source, a representative batch (1,200 photos averaging 12MB each, with 30 outliers over 80MB), and host specs (4-core, 16GB RAM, Linux kernel 5.15). Run …
- Virtual Memory
- Performance Profiling
- Memory Hierarchy
Computer Systems and Organization - 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
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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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