Benchmarking
If you like applying Benchmarking, every challenge here gives you a chance to practice it on a real industry brief.
- CodeIntermediateNew
Dynamic Programming for an IoT Battery Allocator
Read the device spec (32 KB RAM, 200 mAh daily budget, 9 sensing modes with mAh cost and farmer-value scores) and formulate the daily allocation as a 0/1 knapsack DP (dynamic pr…
- Dynamic Programming
- Algorithm Analysis
- C Programming
Algorithm Design and Analysis - CodeIntermediateNew
Migrate an Internal Service from REST to gRPC
Receive the existing OpenAPI spec, the Go service code, and 7 days of traffic data. Pick the top 2 RPS-by-method endpoints and design Protocol Buffers (protobuf) message + servi…
- Grpc
- Protobuf
- REST API Design
API Design and GraphQL - AnalysisIntermediateNew
Amortized-Analysis Investigation of a Production Cache
Read the C++ cache source (around 1,800 lines, custom open-addressing with periodic resize-and-rehash). Perform amortized analysis using all three methods (aggregate, accounting…
- Amortized Analysis
- Functions & Data Structures
- Algorithm Analysis
Advanced Algorithms - ResearchIntermediateNew
Evaluate a Knowledge-Graph-Augmented Recommender
You receive permission to use the public MovieLens 1M dataset plus a derived item-KG (movie -> genre, director, decade) built from Wikidata. Train two recommenders: a matrix-fac…
- Knowledge Graph Embeddings
- Recommender Systems
- Benchmarking
Knowledge Graphs and Semantic Web 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
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 - CodeIntermediateNew
Solve a Vehicle-Routing Problem with Tabu Search
You receive a week of anonymized daily VRPTW instances (around 800 orders per day, 120 vehicles, hard delivery windows). Implement tabu search with: a route-insertion constructi…
- Tabu Search
- Metaheuristics
- Vehicle Routing
Evolutionary Computation and Metaheuristic Search - ResearchIntermediateNew
Benchmark Graph-Embedding Methods on a Climate-Network Dataset
You receive a 200M-edge sample of the knowledge graph and a labeled entity-similarity test set (5,000 pairs with relevance labels). Benchmark three methods: a shallow embedding …
- Graph Embeddings
- Neural Networks
- Scalable Ml
Machine Learning at Scale - CodeIntermediateNew
Build a User-Space File System with FUSE for a Storage Startup
Build a FUSE driver (your choice of Rust + fuser crate or Go + bazil/fuse) that proxies POSIX operations to the startup's existing S3-compatible REST API (mock provided). Suppor…
- File Systems
- Fuse
- Rust Programming
Operating Systems - Browse challenges
Explore role
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.
- AnalysisIntermediateNew
Benchmark Visual SLAM Stacks for an Indoor Delivery Robot
You receive 8 indoor rosbag recordings (about 90 minutes total) captured by the robot's stereo camera + Inertial Measurement Unit (IMU) plus ground-truth trajectories from an ex…
- Visual Slam
- Sensor Fusion
- Trajectory Evaluation
Robot Perception and Autonomy - CodeIntermediateNew
Bloom Filter Cache to Cut Origin Load at a CDN Edge
Given a target false-positive rate of 1 percent at 200 million keys per shard, compute the optimal bit-array size (m) and hash-function count (k) using the canonical formulas. I…
- Bloom Filters
- Probabilistic Data Structures
- Hash Functions
Randomized Algorithms - 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
Port a Legacy C Image Pipeline from x86 to ARM64
Clone the 12k-line C codebase (provided). Set up an ARM64 cross-compile toolchain (clang or gcc). Identify portability issues: endianness assumptions, pointer-size casts, inline…
- C Programming
- Manual Memory Management
- Pointers
Imperative and Low-Level Programming 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
- 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 - AnalysisIntermediateNew
Benchmark NPUs for an Autonomous Forklift Vision Stack
You receive ONNX exports of the 3 production models, a labeled validation set of 2,000 forklift-camera frames, and developer-kit access to three NPU candidates (anonymized as NP…
- Edge Inference
- Npu Benchmarking
- Onnx Optimization
Edge ML and On-Device Machine Learning - ResearchIntermediateNew
Compiler Fuzzing Campaign on a Production C Backend
Stand up a Csmith-based generator producing 200,000+ random valid C programs over the campaign. Differential-test the target backend against a baseline C compiler (matching opti…
- Fuzzing
- Differential Testing
- Test Case Minimization
Advanced Compilers and Program Optimization - 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 - 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
Computer Networks - CodeIntermediateNew
Parallelize a Monte Carlo Risk Engine for a Quant Hedge Fund
Profile the existing engine (C++17, single-threaded). Identify the parallelism axis (per-path independence is the obvious one — but watch for the global RNG bottleneck). Impleme…
- Parallel Algorithms
- Shared Memory
- Work Stealing
Parallel and Distributed Algorithms - DesignIntermediateNew
Real-Time Traffic-Sensor Fusion for a Smart Intersection
Design a fusion architecture: per-modality timestamping (NTP-disciplined within 50ms), per-modality confidence weighting (modality-specific noise model), Kalman-filter or partic…
- Sensor Fusion
- Cyber Physical Systems
- Edge Computing
Internet of Things and Cyber-Physical Systems - CodeIntermediateNew
Temporal Planner for a Robotics Mission Operator
You receive 30 days of mission logs with task lists, time windows, and actual durations. Encode the planning problem with temporal PDDL (PDDL 2.1 durative actions) and solve wit…
- Temporal Planning
- Pddl Modeling
- Simulation
Automated Planning - CodeIntermediateNew
Hierarchical Plans for an Aerospace Maintenance Crew Scheduler
You receive a synthetic week of 80 work orders with hierarchical decompositions, technician certifications, and shared-tool constraints. Implement an HTN planner (PyHOP or HDDL …
- Htn Planning
- Domain Modeling
- Constraint Handling
Automated Planning - 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 - 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
Catastrophic-Forgetting Audit on a Domain Fine-Tune
You receive the fine-tuned 7B chemistry model and its base, plus a benchmark basket (MMLU subset, GSM8K, IFEval, a small instruction-following set). Run all 4 benchmarks on both…
- Catastrophic Forgetting
- LLM Evaluation
- Fine Tuning
Fine-Tuning Large Language Models
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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Industry teams can shape briefs around the skills they hire for, then evaluate students on rubric-scored deliverables — not resumes.