Technological tasks
The Tech-tasks module is tasks related to the development, implementation and improvement of new technologies, products and processes. If you have development, implementation and other needs you can post information below.
A test case for a Data Engineer job
The company receives data from multiple sources, generates business metrics, and uses AI agents to automate processes. It is necessary to design and implement a basic data and AI pipeline Part 1. There is a REST API at https://api.example.com/ads The API returns objects with the following fields date campaign_id spend clicks It is necessary to implement a Python script that performs the following actions: Gets data for the last 7 days Handles API errors correctly Logs execution statuses Saves data to a CSV file or to a database Part 2. There is an orders table with the following fields: order_id user_id order_date revenue It is necessary to write SQL queries that calculate the following indicators: Revenue by day Number of orders by day ARPU Number of repeat orders Part 3. It is necessary to describe the DAG in Apache Airflow, which consists of the following steps: Getting data from the advertising API Getting order data from a database Transformation and calculation of daily metrics Uploading aggregated data to the storage You need to set up: Launch schedule Retreats Logging and error handling Part 4. It is necessary to describe the structure of the daily_businessmetrics table The table should contain the following fields: date revenue orders_count ad_spend roi It is necessary to describe the formulas for calculating each indicator Part 5. It is necessary to describe the concept of an AI agent that uses data from the daily_business_metrics showcase and performs one of the following business tasks: Control of revenue anomalies Monitoring the effectiveness of advertising Notification of a drop in ROI Generating daily business reports You need to describe: What data does the agent use? How often does it work What decisions does he make Where is sending the result of the work It is necessary to develop criteria for evaluating the agent's performance.
Decision acceptance deadline
22.01.26 (inclusive)
Preferred systems
Intelligent control systemsNumber of applications
3
"Intelligent routing and verification of documents in the logistics chain" Description
The company processes hundreds of shipments per day through several shipping companies and warehouses. Each document (invoice, bill of lading, bill of lading, quality certificate) must be checked for compliance with the following requirements: • the correctness of the details (order number, supplier's INN, product code); • matching the actual delivery route with the planned one; • Control of departure dates and statuses. Goal: • Reduction of manual control by 80% • Exclusion of "lost" or incorrect documents • Optimization of logistics processes based on data from EDI
Decision acceptance deadline
22.01.26 (inclusive)
Preferred systems
Intelligent control systemsNumber of applications
7
Development of the embedding-service and its integration into kb-retriever
To develop a centralized micro-embedding service for converting text into vector representations (embeddings) and integrate it into kb-retriever
Decision acceptance deadline
22.01.26 (inclusive)
Preferred systems
Neurotechnology and artificial IntelligenceNumber of applications
1
Integration and optimization of the 2GIS cartographic service into the mobile application at React Native / Expo
To develop a sustainable and productive solution for integrating 2GIS maps into the React Native/Expo mobile app to enhance navigation and user experience.
Decision acceptance deadline
22.01.26 (inclusive)
Preferred systems
Other technological solutionsNumber of applications
1
Forecasting demand and operational load in the delivery service
Create a technological solution for predicting the volume of orders and the load on the delivery system, allowing you to plan resources in advance and improve the quality of service.
Decision acceptance deadline
22.01.26 (inclusive)
Preferred systems
Technologies in transport and logisticsNumber of applications
0
Intelligent optimization of delivery routes, taking into account business constraints
To develop an intelligent technological solution for automatic optimization of delivery routes, aimed at reducing delivery time, reducing operating costs and increasing the efficiency of courier resources.
Decision acceptance deadline
22.01.26 (inclusive)
Preferred systems
Technologies in transport and logisticsNumber of applications
2
Integration of EDI with eGov Mobile for signing documents by individual entrepreneur drivers
Goal: To create a reliable and scalable mechanism for automatically signing documents (acts of completed works, invoices) Sole proprietors are taxi drivers through the eGov Mobile mobile app. The task arose during the implementation of a document management automation project for Yandex partners.Taxi. The existing aggregator APIs do not allow sending notifications about documents to be signed directly to the EDI system. We need to develop a solution that ensures: - Automatic loading of documents from the aggregator system. - Guaranteed delivery of notifications to the driver. - Signing documents via eGov Mobile using CEP. - Registration of the signing status in the corporate system.
Decision acceptance deadline
22.01.26 (inclusive)
Preferred systems
New production technologiesNumber of applications
2
TECHNOLOGICAL SPECIFICATION: SUPERIMPOSING A DIGITAL AVATAR ON VIDEO RECORDINGS OF BASKETBALL MATCHES
The goal of the project is to implement in a mobile sports application the function of automatic analysis of exercise technique based on user–uploaded videos based on free computer vision models (pose estimation). At the first stage, two basic exercises are considered: • pull-ups on a horizontal bar; • push-ups from the floor. The system must: • accept video from the user (portrait/landscape orientation, side view); • automatically find a person and his supporting projectile (horizontal bar, floor) on the video; • extract the skeletal model (coordinates of joints by frames); • calculate key biomechanical parameters of the equipment; • identify typical errors and the quality level of execution; • give the user a short rating (score) and 2-4 personalized recommendations. Available free pose assessment solutions are used for implementation.: • MediaPipe Pose / BlazePose (Google, free model for 33 skeleton key points); • OpenCV for working with video and basic preprocessing; • Python/Node.js for backend processing; • If necessary, ONNX Runtime / TensorFlow Lite for optimization.
Decision acceptance deadline
22.01.26 (inclusive)
Preferred systems
Technologies in transport and logisticsNumber of applications
2
Computer Vision Management Platform: Data Markup, Training and Model Management (CV MLOps)
To develop a single platform for a full cycle of work with computer vision: image/video uploading and storage, data markup, quality control, model training, versioning, deployment and monitoring of the quality of models in operation.
Decision acceptance deadline
22.01.26 (inclusive)
Preferred systems
Neurotechnology and artificial IntelligenceNumber of applications
2
Fatigue monitoring system for truck drivers
To develop an intelligent system for monitoring the condition of truck drivers in real time in order to detect signs of fatigue, drowsiness and loss of concentration, as well as to prevent traffic accidents.
Decision acceptance deadline
22.01.26 (inclusive)
Preferred systems
Industrial SafetyNumber of applications
6
