Benchmarking
If you like applying Benchmarking, every challenge here gives you a chance to practice it on a real industry brief.
- AnalysisAdvancedNew
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 - CodeAdvancedNew
Randomized Sketch Algorithm for Stream Cardinality
Read the HLL paper (Flajolet et al., 2007) and a sample of 30 minutes of customer trace IDs (around 80M events). Implement HLL from scratch in Go (no library imports). Run bench…
- Randomized Algorithms
- Sketching
- Algorithm Analysis
Advanced Algorithms - ResearchAdvancedNew
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
- Graph Neural Networks
- Scalable Ml
Machine Learning at Scale - CodeAdvancedNew
Implement an SSA-Based Sparse Conditional Constant Propagation Pass
Read the IR specification (SSA form, phi nodes, typed values). Implement SCCP as a single combined worklist algorithm operating on the SSA lattice (top / constant / bottom) and …
- Static Single Assignment
- Dataflow Analysis
- Constant Propagation
Advanced Compilers and Program Optimization 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
- AnalysisAdvancedNew
Compare ML Compiler Stacks on a Vision Backbone
Take a frozen ResNet-50 (or similar) in ONNX. Compile and benchmark it via TensorRT on Jetson + GPU, ONNX Runtime on all three, OpenVINO on x86 CPU, and IREE on ARM if time allo…
- Ml Compilers
- Tensorrt
- Onnx
Machine Learning Systems - CodeAdvancedNew
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 - CodeAdvancedNew
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
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.
Industry teams behind a decade of practitioner briefs
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Industry teams can shape briefs around the skills they hire for, then evaluate students on rubric-scored deliverables — not resumes.