Customer Handling
AI receptionist workflows for 24/7 inquiry handling across calls, chat, and instant response systems.
I design and build automation systems for lead handling, appointment booking, voice assistants, customer support, marketing workflows, and operations automation using OpenAI, n8n, APIs, Google Workspace, and modern AI tools.
I focus on practical AI automation for real business use cases. My work combines APIs, workflow tools, AI models, voice systems, and analytics to reduce manual effort and improve response speed.
I build systems that do the work automatically instead of just showing predictions.
I work on customer handling, lead qualification, support automation, and internal process optimization.
I connect AI models with CRMs, calendars, sheets, forms, email, and voice agents for end-to-end execution.
These sections reflect the workflow areas shown in your image: customer handling, sales, marketing, support, operations, and advanced AI systems.
AI receptionist workflows for 24/7 inquiry handling across calls, chat, and instant response systems.
Lead capture, qualification, enrichment, automated follow-ups, and CRM-connected nurturing systems.
WhatsApp, social media, and email automation flows for fast outreach, engagement, and campaign support.
Instant FAQ resolution with AI plus smart routing and escalation for complex support cases.
Workflow automation using n8n, Make, Zapier, APIs, Sheets, and calendars to reduce repetitive manual work.
Voice calling agents, analytics dashboards, document processing, and knowledge assistants for scalable automation.
Small project-wise descriptions added for the work listed in your resume and portfolio direction.
Built an AI-powered appointment booking workflow that handles scheduling requests, creates calendar events, stores booking data in Google Sheets, and sends confirmation emails automatically.
Designed an AI automation system for lead capture, API-based enrichment, sheet-based tracking, automated email sequences, and AI voice follow-up support for better lead handling.
Developed a machine learning classification system to predict diabetes risk using key medical features such as BMI, glucose, blood pressure, and age, with evaluation around 85% accuracy.
Portfolio showcase section representing your ongoing work in AI reception, customer query handling, FAQ response automation, and escalation design for support workflows.
Your stack combines programming, automation tools, AI/ML libraries, and API integration capabilities.
Internship and training experience aligned with automation, pipelines, full stack work, and data science.
Worked on AI-driven automation and machine learning pipeline development, including internal workflows built with APIs and automation tools.
Completed four months of full stack Java training and worked on a student attendance management system project.
Worked on a diabetes prediction project and applied exploratory data analysis with machine learning algorithms.
Open to AI Automation Engineer, AI Engineer, and data-driven automation opportunities.
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