Business
Operations, Supply Chain & Procurement Challenges
Operations, Supply Chain & Procurement challenges put you inside the work of running processes that deliver on time and at cost. You'll build skills in process mapping, flowcharting and BPMN, sharpen capacity planning and scheduling, and use ERP navigation and benchmarking to find where work breaks down.
From there you'll tackle the harder edges — supply chain optimization, Lean Six Sigma DMAIC, 5-Whys & Fishbone root-cause analysis, and Kraljic matrix supplier segmentation — running RFP/RFI orchestration and vendor evaluation the way operations teams actually do. Each challenge you solve earns a verified credential you can share with recruiters.
- CodeIntermediateNew
Plan Warehouse Pick Routes with a Classical Planner
You receive a stylized warehouse map (aisle graph), 30 sample shifts of pick tasks, and the current heuristic's outputs. Write a PDDL domain + problem generator, solve with at l…
- Pddl Modeling
- State Space Search
- Classical Planning
Open coursework - DesignBeginnerNew
Choose a Sidecar Cache Store for a Hotel-Search API
Using the captured workload trace and the platform requirements brief in the provided materials, design a proposal that selects one of Redis, KeyDB, or DragonflyDB as the sideca…
- Nosql
- Redis
- Benchmarking
Open coursework - CodeIntermediateNew
Build a Real-Time Streaming Pipeline for Card-Fraud Scoring
Using the provided transaction-event sample, the cardholder feature snapshot, the reference scoring service, and the risk team's experiment specification, build a stream-process…
- Stream Processing
- Kafka
- Flink
Open coursework - CodeSeniorNew
Build a Distributed Shared Memory Layer Over RDMA for Risk Engines
Build a Distributed Shared Memory library in C++ that exposes a small region interface — allocate a shared region, read from it, write to it, and free it — starting from the pro…
- Distributed Systems
- Rdma
- Consistency Models
Open coursework Practice your coursework on real scenarios.
Every challenge is shaped from real-world context — not generic exercises. The work mirrors what your degree prepares you for.
Why Ewance
- AnalysisIntermediateNew
ODE Integrator Benchmark for a Pharma PK/PD Pipeline
Use SciPy's solve_ivp + SUNDIALS (via scikit-sundae or diffeqpy) to benchmark: RK45 (baseline), LSODA, BDF (CVODE), Radau, and Rosenbrock. Run on three model classes (insulin-gl…
- Numerical Odes
- Stiff Integrators
- Scientific Python
Scientific Computing and Numerical Methods - CodeBeginnerNew
Case File: Smart-Pointer Refactor of a Game-Engine Module
Work only from the four supplied items: the representative entity-component-system module slice, the before-refactor heaptrack leak readout, the de-identified incident log, and …
- Cpp Programming
- Manual Memory Management
- Pointers
Open coursework - ResearchIntermediateNew
Differential Fuzzing Campaign on a Production C Compiler Backend
Using the incident case file and the campaign scope brief, stand up a Csmith-based generator that produces at least 200,000 random but valid C programs across the two-week windo…
- Fuzzing
- Differential Testing
- Test Case Minimization
Open coursework - CodeBeginnerNew
Choose a Hash Table or Trie for a URL-Shortener Cache
Build two caches that satisfy the contract in the cache specification (provided): one hash table using linear probing and one compressed trie, both enforcing the same two-millio…
- Hash Tables
- Trie Data Structure
- Benchmarking
Open coursework - Browse challenges
Explore role
Marketing Analyst
Plan and measure campaigns that grow the business. Funnel analytics, attribution, segmentation, and the rigorous measurement that lets marketing defend its budget at the leadership table.
- CodeIntermediateNew
Edge-Inference Pipeline for a Smart-Factory Vibration Monitor
Architect a pipeline that runs on an ESP32-S3 + STM32 combo (provided): (1) sample 3-axis accelerometer at 3.2 kHz, (2) compute windowed FFT features on-device every 1s, (3) run…
- Edge Computing
- Embedded Systems
- Sensors And Actuators
Internet of Things and Cyber-Physical Systems - AnalysisIntermediateNew
Benchmark Approximate Nearest-Neighbor Indexes for a Code-Search Startup
You receive a 5 M-vector sample (768-dim, float32) and a 1,000-query labeled benchmark with ground-truth top-50 neighbors per query. Index the same sample in Chroma (HNSW), Qdra…
- Ann Indexes
- Hnsw
- Benchmarking
Vector Databases and Embeddings - ResearchSeniorNew
Benchmark Reward-from-Feedback Methods on a Tabletop Pick-Place
You will use a Franka Panda arm in PyBullet on a 4-object pick-and-place task. For each of the three feedback methods, train a reward model and a downstream policy until converg…
- Reinforcement Learning
- Reward Learning
- Preference Comparison
Human-Robot Interaction - CodeBeginnerNew
Simulated Annealing for Shift Scheduling at a Hospital
You receive 6 months of anonymized shift demand data, the nurse roster (skills, certifications, contracted hours), and the labor-law hard constraints. Encode the schedule as a 7…
- Simulated Annealing
- Metaheuristics
- Constraint Handling
Open coursework Build a verifiable portfolio.
Submissions become evidence. Reviewers with shipping experience score against a rubric; the result becomes a credential anyone can verify.
Why Ewance
- CodeBeginnerNew
Build a Bounded Concurrent Queue for a Microservice Worker Pool
Implement a bounded concurrent queue in Go (no third-party queue libraries; standard library + sync primitives only) that supports: Put(item) blocks when full, TryPut(item, time…
- Concurrent Data Structures
- Mutex And Condvar
- Go
Concurrent and Parallel Programming - 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 - CodeSeniorNew
Design a Polyhedral Loop-Tiling Strategy for a Tensor DSL
Study the DSL's IR (provided, MLIR-based with linalg-style ops). Choose a tiling strategy (rectangular tiling with cost-modeled tile sizes is the safe baseline; full polyhedral …
- Polyhedral Analysis
- Loop Tiling
- Mlir
Advanced Compilers and Program Optimization - CodeIntermediateNew
Migrate a Legacy Warehouse to a Lakehouse for an Edtech AI Platform
You receive a Postgres dump of around 50 GB and the current dbt models that produce the student-attempts mart. Land the raw data in object storage (S3 or GCS) as Parquet partiti…
- Lakehouse Architecture
- Delta Lake
- Spark
Data Engineering and Big Data Systems - DesignIntermediateNew
Design and Run a Platform-as-Product Quarterly Review
Using the platform product catalog (platform-product-catalog) and the Head of Platform's mandate (head-of-platform-brief), design a complete, repeatable quarterly review for the…
- Platform Engineering
- Platform As Product
- Facilitation
Open coursework - PresentationSeniorNew
Run a Post-Mortem on a Failed ML Deployment
You receive a packet: original training data sample, post-launch production logs, three Slack-style threads from the on-call rotation, and a summary of the telco's complaints. R…
- Root Cause Analysis
- Stakeholder Framing
- Model Monitoring
Open coursework - StrategyBeginnerNew
Spec a Voice Agent for an Airline's Disruption Support Line
You will produce a 6-page voice-agent product spec covering: (1) supported intents and out-of-scope handling, (2) handoff-to-human criteria, (3) latency and confidence threshold…
- Voice Agent Design
- Intent Design
- Metric Design
Open coursework - CodeSeniorNew
Build a Unikernel for a Privacy-Focused VPN Provider
Choose either MirageOS or Unikraft as the unikernel framework. Build an image running a minimal WireGuard data plane (existing OCaml or Rust WireGuard reference implementation i…
- Unikernels
- Virtualization
- Wireguard
Advanced Operating Systems - ResearchBeginnerNew
Hyperparameter Search via CMA-ES for a Pharma QSAR Model
You receive a labeled QSAR dataset (around 25,000 compounds, regression on a binding-affinity target), a fixed feature pipeline (Morgan fingerprints + descriptors), and the team…
- Cma Es
- Metaheuristics
- Hyperparameter Optimization
Evolutionary Computation and Metaheuristic Search - CodeSeniorNew
Cache-Optimize a Graph-Analytics Kernel for a Social Platform
Receive the existing kernel (C++ + OpenMP, around 1,200 lines), the 1.8B-edge graph (CSR format, around 14GB), and target hardware (dual-socket AMD EPYC 9354, 384GB DDR5, 256MB …
- Cache Optimization
- Graph Algorithms
- Memory Hierarchy
Performance Engineering of Software Systems - AnalysisIntermediateNew
TCP Congestion Control Comparison on a Long-Fat Network
Set up two Linux test hosts in Sydney + Frankfurt cloud regions (or one host pair with tc-netem emulating 280ms RTT). Run iperf3 transfers using CUBIC and BBR at 4 loss rates (0…
- Tcp Ip
- Congestion Control
- Performance Testing
Open coursework - CodeIntermediateNew
GPU-Parallel Graph Coloring for an EDA Tools Vendor
Implement Jones-Plassmann graph coloring in CUDA (or HIP if AMD hardware available). Input: a 12-million-node graph in CSR format (compressed sparse row). Output: a valid colori…
- Parallel Algorithms
- Gpu Programming
- Cuda
Parallel and Distributed Algorithms
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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