Md Alqurayish Sharkar
AI Product Engineer
- 3
- Followers
D-SAi - Data, AI & Software Solutions
Turning data, AI, and software into practical business solutions.
Project description
D-SAi is a technology company focused on transforming business challenges into intelligent, scalable digital solutions.
I work across the complete product lifecycle, from understanding the business problem and analyzing data to designing, building, and delivering production-ready solutions.
The core areas include Data Intelligence, Artificial Intelligence, Software Engineering, and Business Automation, helping businesses make better decisions, automate repetitive processes, and build smarter digital products.
What I worked on
Data analytics, visualization & business intelligence
AI/LLM solutions and intelligent agents
Business process automation
Custom software and product development
API and system integrations
End-to-end product engineering
My role
Founder · Data Scientist · Product Engineer
Skills
Data Science · Artificial Intelligence · Data Analytics · AI Automation · Product Engineering · Software Engineering · Business Automation · LLM Integration
Website D-SAi. d-sai.com (http://d-sai.com)
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ScanRoster :- AI-Native Workforce Management
Smarter workforce operations powered by AI, automation and real-time data.
Project description
ScanRoster is an AI-native workforce management platform designed for hospitality and shift-based businesses. I worked across the product lifecycle, from understanding operational challenges and designing workflows to product engineering, data-driven features and AI-powered automation. The platform brings workforce scheduling, QR-based attendance, intelligent shift coverage, timesheets and payroll workflows into one connected system, helping teams reduce manual administration and manage day-to-day workforce operations more efficiently.
Key capabilities
QR Attendance - streamlined employee check-in and attendance tracking
AI Shift Cover - intelligent support for finding suitable replacements when shifts need coverage
Workforce Management - centralized scheduling, staff and operational workflows
Timesheets & Payroll - turning verified attendance data into reliable working-hour and payroll workflows
Operational Intelligence - workforce data and analytics for better visibility and decision-making
My role
Product Engineer · AI & Data Product Development
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RetainCLM - AI Customer Lifecycle Management
Predict churn, understand customer behavior, and automate retention with AI.
Project description
RetainCLM is an AI-powered Customer Lifecycle Management platform designed to help businesses understand customer behavior, predict churn, and take action before customers leave.
I designed the product around the complete customer lifecycle, combining customer intelligence, machine-learning-driven churn prediction, segmentation, retention analytics, and automated retention workflows in one connected platform.
The system transforms customer data into actionable intelligence, helping teams identify at-risk customers, understand lifecycle movement, automate retention actions, and make more informed decisions around customer growth and recurring revenue.
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InboxPulse, AI-Powered Omnichannel Customer Inbox
Unify customer conversations, automate responses, and help teams respond smarter with AI.
Project description
InboxPulse is an AI-powered omnichannel customer communication platform designed to bring conversations from multiple channels into one intelligent workspace.
I worked across product strategy, workflow design, AI integration, and product engineering to create a system where teams can manage customer conversations, collaborate efficiently, and use AI to improve response workflows.
The platform combines a unified inbox, AI-powered response assistance, team collaboration, customer management, and communication analytics, helping businesses reduce fragmented workflows and manage customer interactions more efficiently.
Key capabilities
Unified Inbox - manage customer conversations from multiple channels in one place.
AI-Powered Support - generate contextual AI assistance for customer communication.
Omnichannel Communication - connect messaging and website communication channels into a centralized workflow.
Team Collaboration - assign and manage conversations across customer-facing teams.
Customer Management - organize customer information and conversation history.
Real-Time Insights - understand communication activity and team performance through analytics.
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