Project: AI-Powered RPA for Financial Process Automation
Requirements:
• AI-driven RPA bots for automating finance workflows.
• Web interface for configuring, monitoring, and tracking automated processes.
• Ensure that automated processes comply with financial regulations.
Deliverables:
• RPA bots powered by AI automated financial tasks.
• Web-based dashboard for real-time tracking of RPA performance.
• API integration for external expertise systems.
• Training and documentation for end-users.
Project: AI Model Acceleration and Deployment
Requirements:
• Build scalable cloud-based platform for hosting AI models.
• Create web interface for real-time monitoring and control.
• Integrate Graphcore’s IPU with existing systems.
• Ensure user-friendly dashboards for non-technical users.
Deliverables:
• Custom SDK for integrating Graphcore hardware with AI workflows.
• Web-based dashboard to monitor performance and metrics.
• API integration guide for third-party applications.
• Deployment on cloud infrastructure (AWS/GCP).
Project: AI-Powered Predictive Maintenance Platform
Requirements:
• Build an AI system for predicting machinery failure and scheduling maintenance.
• Create a web dashboard for monitoring equipment and performance analytics.
• Enable real-time data streaming for critical sensor data.
Deliverables:
• Predictive maintenance AI model integrated into the platform.
• Interactive dashboards to visualize machine health.
• Web-based notifications and alerts for maintenance actions.
• API integration for external applications.
• Deployment guide for scaling the system on the cloud.
Project: AI-based Emergency Call Analysis System
Requirements:
• Real-time transcription and analysis of emergency calls.
• AI decision support to provide critical recommendation based on the call’s content.
• Cloud-based deployment to scale the system for large volumes of data.
Deliverables:
• Real-time voice-to-text transcription for emergency calls.
• AI-based decision support system to assist emergency response teams.
• Web interface for monitoring calls and system performance.
• API integrations for embedding the system into emergency response platforms.
Front-End Development
Back-End Development
Machine Learning
Deep Learning
NLP
Source Code
State Management
Miscellaneous
Website performance
Database optimization
SaaS Development
Code optimization
Version control systems
Testing & Quality Assurance
API integration
Cloud & DevOps
Security & Authentication
Containerization
Big Data technologies
Full-stack developer with expertise in AI-driven solutions and a Master’s degree in Mathematics and Computer Science. Skilled in building scalable, high-performance web applications that integrate cutting-edge AI technologies to enhance user-experiences. Passionate about leveraging AI for innovation and problem-solving, with strong leadership skills to drive impactful results in fast-paced environments.