Experienced Full-Stack Developer for Deploying Blockchain Fraud Detection System
Budget: $1,500 – $3,000 USD
Description: We are seeking an experienced full-stack developer with a strong background in backend, frontend, and blockchain technology to deploy SherlockSol, an AI-powered fraud detection system. The ideal candidate will have expertise in Python, React.js, and blockchain APIs and be proficient in automating workflows using task schedulers and email services.
Key Responsibilities:
Backend Development:
Integrate Solscan API to fetch wallet and transaction data from the Solana blockchain.
Implement rule-based and ML-enhanced fraud detection systems.
Set up Celery with Redis for task scheduling.
Frontend Development:
Create an interactive React.js dashboard.
Visualize wallet risk scores, fraud summaries, and transaction trends using libraries like Recharts.
Task Automation and Email Service:
Automate email report generation using SendGrid or equivalent services.
Set up user scheduling for periodic fraud report delivery.
Deployment:
Containerize the application using Docker.
Deploy the system on a cloud platform (AWS, GCP, or similar) with monitoring tools like Prometheus and Grafana.
Testing and Optimization:
Perform unit, integration, and load testing.
Optimize database queries, API interactions, and task execution times.
Skills Required:
Backend: Python, Flask/FastAPI, PostgreSQL or MongoDB.
Frontend: React.js, Recharts, Axios.
Blockchain: Experience with Solana, Solscan API, or similar blockchain APIs.
Task Scheduling: Celery, Redis.
Email Services: SendGrid, SES, or similar.
DevOps: Docker, Kubernetes, CI/CD pipelines, and cloud hosting platforms.
Testing: Locust, Postman, and debugging tools.
Deliverables:
Fully deployed SherlockSol system (backend, frontend, database).
Automated task scheduler for generating and delivering reports.
Interactive dashboard displaying fraud detection insights.
Documentation for system deployment and maintenance.
Preferred Experience:
Prior experience with fraud detection systems.
Integration of blockchain data for analytics and reporting.
Scalable deployment using AWS, GCP, or Azure.
Budget & Timeline:
Budget: $2,000–$4,000 (depending on experience and deliverables).
Timeline: 4–6 weeks.
How to Apply:
Please send your application with:
Your portfolio or relevant experience.
A brief proposal on how you plan to deploy the system.
Your availability and estimated timeline for the project.
Key Responsibilities:
Backend Development:
Integrate Solscan API to fetch wallet and transaction data from the Solana blockchain.
Implement rule-based and ML-enhanced fraud detection systems.
Set up Celery with Redis for task scheduling.
Frontend Development:
Create an interactive React.js dashboard.
Visualize wallet risk scores, fraud summaries, and transaction trends using libraries like Recharts.
Task Automation and Email Service:
Automate email report generation using SendGrid or equivalent services.
Set up user scheduling for periodic fraud report delivery.
Deployment:
Containerize the application using Docker.
Deploy the system on a cloud platform (AWS, GCP, or similar) with monitoring tools like Prometheus and Grafana.
Testing and Optimization:
Perform unit, integration, and load testing.
Optimize database queries, API interactions, and task execution times.
Skills Required:
Backend: Python, Flask/FastAPI, PostgreSQL or MongoDB.
Frontend: React.js, Recharts, Axios.
Blockchain: Experience with Solana, Solscan API, or similar blockchain APIs.
Task Scheduling: Celery, Redis.
Email Services: SendGrid, SES, or similar.
DevOps: Docker, Kubernetes, CI/CD pipelines, and cloud hosting platforms.
Testing: Locust, Postman, and debugging tools.
Deliverables:
Fully deployed SherlockSol system (backend, frontend, database).
Automated task scheduler for generating and delivering reports.
Interactive dashboard displaying fraud detection insights.
Documentation for system deployment and maintenance.
Preferred Experience:
Prior experience with fraud detection systems.
Integration of blockchain data for analytics and reporting.
Scalable deployment using AWS, GCP, or Azure.
Budget & Timeline:
Budget: $2,000–$4,000 (depending on experience and deliverables).
Timeline: 4–6 weeks.
How to Apply:
Please send your application with:
Your portfolio or relevant experience.
A brief proposal on how you plan to deploy the system.
Your availability and estimated timeline for the project.