Computer Sciences Challenges
Explore computer science challenges on Ewance to equip yourself with job-relevant skills for a variety of roles. Learn programming techniques and build technical skills with challenges on software development, algorithm design, system architecture, and more.
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- CodeSeniorNew
Formally Specify and Model-Check a Payment Rate-Limit Service in TLA+
Using the incident record (INCIDENT-FILE), the protocol design note (PROTOCOL-NOTE), and the representative coordinator module (COORDINATOR-MODULE) provided to you, write a TLA+…
- Tla Plus
- Formal Specification
- Model Checking
Open coursework - CodeSeniorNew
PDE Solver for Subsurface Reservoir Flow
Implement MPFA-O discretization for pressure on a tetrahedral mesh with explicit fault transmissibility (Aavatsmark et al. 2002 formulation). Couple to a temperature equation vi…
- Numerical Pdes
- Finite Volume
- Newton Krylov
Scientific Computing and Numerical Methods - CodeSeniorNew
GPU-Accelerated Numerical Optimization for Portfolio Construction
Implement a primal-dual interior-point solver for box-constrained QP in CUDA. Use cuSPARSE for sparse matrix-vector multiply and cuSOLVER for the inner Newton system. Benchmark …
- Numerical Optimization
- Interior Point Method
- Cuda
Scientific Computing and Numerical Methods - CodeSeniorNew
Linkerd to Istio Migration for a Multi-Cluster Platform
Phase 1: install Istio alongside Linkerd in PERMISSIVE mode (Istio sidecars injected, Linkerd proxies remain). Phase 2: migrate non-critical namespaces first (4 namespaces) by r…
- Istio
- Linkerd
- Service Mesh
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
- CodeSeniorNew
Envoy WASM Filter for Per-Tenant Rate Limiting
Implement the filter in Rust using the proxy-wasm-rust-sdk. The filter computes a (tenant_id, endpoint, method) key, calls a Redis token-bucket service via a sidecar HTTP client…
- Envoy
- Wasm
- Rust Programming
Service Mesh and Microservices Networking - AnalysisSeniorNew
Spike Three Multiplayer Backend Patterns and Recommend One
Using the gameplay-shape specification, the starter server module, and the simulated player-input traces provided to you, implement minimal but faithful versions of all three ne…
- Realtime Systems
- Architecture Spike
- Networking Patterns
Open coursework - DesignSeniorNew
Migrate a 600K-LOC Monolith to a Modular Monolith
Run static dependency analysis on the monolith (using Packwerk + custom Ruby AST scripts, both available) to surface the current implicit modules and the worst cross-module depe…
- Large Scale Codebases
- Modular Monolith
- Static Analysis
Advanced Software Engineering - CodeSeniorNew
Train a Manipulation Policy for Bin Picking with Imitation Learning
You receive a dataset of 500 teleop trajectories on the in-distribution part plus a held-out simulation environment with a never-seen part. Train an imitation-learning policy (D…
- Imitation Learning
- Manipulation
- Diffusion Policy
Advanced Robotics - 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.
- CodeSeniorNew
Train a Reinforcement-Learning Policy for Drone Obstacle Avoidance
You receive a custom Gymnasium drone-flight environment (provided), a baseline hand-engineered controller, and a target evaluation suite covering 4 obstacle densities. Train a P…
- Reinforcement Learning
- Ppo
- Robotics Simulation
Open coursework - CodeSeniorNew
Plan Under Uncertainty for a Warehouse Restocking Robot
You receive a discrete-event simulator of a 1,200-shelf warehouse with calibrated optical-scanning error rates and stock-out cost per shelf. Formulate the restocking decision as…
- Planning Under Uncertainty
- Pomdp
- Monte Carlo Planning
Advanced Robotics - StrategySeniorNew
Run a Mock Algorithmic-Discrimination Investigation for a Hiring-Tech Vendor
As a 3-person team, design and execute a 3-week mock inquiry. Produce: (1) the demand letter you imagine the regulator sending (scope, legal basis, data requested); (2) the vend…
- Regulatory Analysis
- Algorithmic Fairness
- Ai Governance
Open coursework - CodeSeniorNew
Build an MLOps Platform Slice for a Fintech Risk Team
Across a 5-person team, ship (1) experiment tracking integrated into a sample model training job; (2) a model registry that promotes-by-tag; (3) a training pipeline orchestrated…
- Mlops Design
- Experiment Tracking
- Model Registry
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
- CodeSeniorNew
Stand Up a Data Platform for a Mobility-Data Startup's First ML Model
As a 4-person team, build (1) a streaming ingestion path from a simulated telemetry source (Kafka + Python producer is fine); (2) a batch ETL job into a small warehouse (DuckDB …
- Data Engineering
- Streaming Ingestion
- Feature Store
AI Software Engineering Group Project - CodeSeniorNew
Train a 3D Object Detector for Highway Trucking
Use the nuScenes or Waymo Open Dataset (open access) as your training and evaluation source. Fine-tune a strong baseline (e.g., CenterPoint or BEVFusion) and define an evaluatio…
- 3d Object Detection
- Perception
- Pytorch
AI for Autonomous Vehicles - CodeSeniorNew
Grounded Language for a Robotics Pick-and-Place Demo
Use a tabletop simulator (PyBullet or Isaac Sim, both open) with 5 object types and 5 spatial relations (left of, right of, behind, in front of, on top of). Curate or generate a…
- Grounded Language Understanding
- Semantic Parsing
- Perception
Open coursework - CodeSeniorNew
Video Action Recognition for a Retail Loss-Prevention Startup
Use a public action-recognition dataset (UCF101 + a small curated retail-action subset; the latter is provided synthetic or you can label 50 short clips). Fine-tune a small back…
- Video Understanding
- Action Recognition
- Transfer Learning
Computer Vision - CodeSeniorNew
Run a Backpropagation Bug-Hunt on an Open-Source RL Implementation
You receive the offending fork (around 4,000 lines of PyTorch) and three known-failure seeds. Reproduce the NaN failure deterministically, instrument the forward and backward pa…
- Backpropagation
- Pytorch
- Debugging
Deep Learning - ResearchSeniorNew
Inductive Logic Programming for a Fraud-Rule Discovery Pilot
You receive a labeled fraud dataset (around 25,000 transactions, around 4% positive class), a feature schema (28 features including device, geo, behavioral history), and a basel…
- Inductive Logic Programming
- Symbolic Ai
- Rule Learning
Open coursework - CodeSeniorNew
Train a GAN for Synthetic Defect Augmentation on a Factory Line
You receive a labeled defect dataset (12 defect types, ranging from 8 to 4,200 examples each), the production classifier, and a starter StyleGAN2-ADA codebase. Train a GAN per r…
- Gans
- Stylegan
- Data Augmentation
Open coursework - CodeSeniorNew
Fuse Camera + Audio Cues for an Autonomous-Vehicle Edge Case
You receive a curated dataset of 4,000 short clips (5s each), each with synchronized 8-camera 360-degree video, 4-channel audio, and labels (siren-active emergency vehicle prese…
- Multimodal Perception
- Convolutional Neural Networks
- Audio Processing
Machine Perception - CodeSeniorNew
Survival-Analysis Risk Model for an Oncology Decision-Support Pilot
You receive a curated public colorectal cancer cohort (about 9,000 patients, demographics, stage, grade, comorbidities, baseline labs, censored survival times). Fit (1) a Cox pr…
- Survival Analysis
- Risk Stratification
- Model Calibration
Machine Learning for Healthcare and Biomedicine - CodeSeniorNew
Triage Brain-CT Stroke Detector with Calibrated Uncertainty
You receive a curated public head-CT dataset (about 2,800 scans, slice-level labels for hemorrhagic stroke) and a held-out 600-scan hospital cohort. Train a 3D CNN or 2.5D slice…
- Medical Imaging
- Convolutional Neural Networks
- Uncertainty Quantification
Open coursework - CodeSeniorNew
Profile and Cut Inference Cost on a Recommender at Scale
You receive (1) a frozen ONNX export of the production model, (2) a sample request trace of 24 hours at 1% sampling, and (3) a single A100-class GPU sandbox. Profile with NVIDIA…
- Gpu Profiling
- Model Quantization
- Inference Optimization
Open coursework - DesignSeniorNew
Design a Distributed Training Job for a 13B-Parameter Model
Decide whether to use Fully Sharded Data Parallel (FSDP), Tensor Parallelism, Pipeline Parallelism, or a hybrid; justify against the 13B-param + 32-H100 setup. Calculate memory …
- Distributed Training
- Fsdp
- Pytorch
Open coursework
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