Deploy your AI models to production on AWS or GCP with scalable infrastructure, monitoring, and continuous delivery.
AWS & GCP deployment
Docker containerization
Scalable REST APIs (FastAPI)
CI/CD & model monitoring
AI Data Visualization & Insights
Transform raw data into interactive dashboards and visual insights using AI-powered natural language queries.
Natural language to charts
Automated dashboard generation
Interactive data exploration
LLM-driven analytics
AI Voice Agent Receptionist
A custom 24/7 automated telephone receptionist that answers incoming calls, speaks like a real human with low latency, books appointments into live calendars, and handles customer FAQs — without ever going to voicemail.
24/7 call answering via Vapi.ai / Retell AI
Real-time calendar booking (Calendly, Google Cal)
Lead qualification & caller intake
Live call forwarding to human agents
Post-call summaries to email, Sheets, or CRM
Powered by GPT-4o, ElevenLabs, Deepgram
My Process
01
Discovery
Understand your requirements, data, and business objectives
02
Planning
Design the approach, select algorithms, and create roadmap
03
Development
Build and train models with iterative refinement
04
Deployment
Deploy to production with monitoring and support
Frequently Asked Questions
Imran offers 10 AI/ML services: AI Chatbot & Virtual Assistant Development, Custom AI Agent Development, Generative AI & LLM Integration, RAG-Powered Knowledge Systems, AI-Powered Business Automation, Machine Learning & Predictive Analytics, Computer Vision Solutions, Cloud AI Deployment & MLOps, AI Data Visualization & Insights, and AI Voice Agent Receptionist.
A RAG-powered knowledge system uses Retrieval-Augmented Generation to turn your documents, PDFs, and business data into a searchable AI knowledge base. When a user asks a question, the system retrieves the most relevant documents using vector search (FAISS) and passes them to a language model to generate an accurate, grounded answer — rather than relying on the model's training data alone.
An AI chatbot handles conversational interactions — answering questions based on your documents or data. A custom AI agent goes further: it can autonomously plan, make decisions, use tools, call APIs, and execute multi-step workflows without human intervention. Agents are built for automation and task execution; chatbots are built for conversation.
A basic AI chatbot or RAG system typically takes 1–2 weeks to build and deploy. A custom AI agent with multi-step workflows and integrations typically takes 2–4 weeks depending on complexity. Cloud deployment and testing are included in these timelines.
Imran deploys on AWS (Elastic Beanstalk, Lambda, ECR, S3, Amazon Bedrock) and GCP (Vertex AI, Cloud Run). All deployments use Docker containerization and FastAPI backends for scalable, production-ready infrastructure.
Four phases: (1) Discovery — understanding your requirements, data, and business objectives; (2) Planning — designing the approach and creating a roadmap; (3) Development — building and training models with iterative refinement; (4) Deployment — deploying to production with monitoring and support.
An AI voice agent receptionist is a custom 24/7 automated telephone system that answers your business calls, speaks naturally with low latency, books appointments directly into your calendar (Calendly, Google Calendar), qualifies leads by collecting caller details, forwards urgent calls to a human, and sends post-call summaries to email, Google Sheets, or your CRM. It is built with Vapi.ai or Retell AI, GPT-4o, Deepgram speech-to-text, and ElevenLabs text-to-speech — ideal for dental clinics, HVAC contractors, law firms, and real estate agencies.
Yes. Imran is available for freelance and contract AI development projects. Whether you need a chatbot, RAG knowledge base, AI voice agent, custom AI agent, or a full cloud deployment on AWS or GCP — get in touch and he'll scope the work within 24 hours.
Yes. The AI Voice Agent Receptionist service builds a fully automated phone answering system using Vapi.ai or Retell AI with GPT-4o, Deepgram speech-to-text, and ElevenLabs voice synthesis. It handles inbound calls 24/7, books appointments, qualifies leads, and sends summaries — all without human involvement. Ideal for clinics, contractors, law firms, and agencies.
Yes. Imran builds custom integrations between AI systems and existing tools — Google Sheets, CRMs, Calendly, Notion, Slack, REST APIs, and more. Using n8n, Make, or custom FastAPI webhooks, the AI fits into your current workflow without replacing it.