Imran Rafique — AI/ML Engineer

Imran Rafique

AI/ML Engineer  |  Gen AI Engineer  |  Agentic AI for Business

Building intelligent systems that solve real-world problems

Specialized in machine learning, deep learning, AI-powered solutions & autonomous agentic workflows

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Featured Areas

Agentic AI & Machine Learning

Agentic AI & Machine Learning

Building autonomous AI agents with LangGraph, CrewAI & AutoGen — plus regression, classification, clustering, and deep learning with TensorFlow & PyTorch

Generative AI & LLMs

Generative AI & LLMs

LLM integration, prompt engineering, fine-tuning, and agentic workflows with LangChain & LangGraph

RAG-Based Chatbots

RAG-Based Chatbots

Retrieval-Augmented Generation pipelines with hybrid search (FAISS + BM25) and vector databases

AWS & GCP Deployment

AWS & GCP Deployment

Cloud AI solutions using Amazon Bedrock, Vertex AI, and scalable FastAPI backend services

Model Deployment & Kubernetes

Model Deployment & Kubernetes

Containerized ML deployments with Docker, REST APIs, and production-ready MLOps pipelines

AI Based Business Solutions

AI Based Business Solutions

End-to-end intelligent systems — from data pipelines to multi-agent orchestration for real-world impact

Imran Rafique is an AI/ML Engineer specializing in Generative AI, Retrieval-Augmented Generation (RAG) pipelines, and autonomous agentic workflows. He is an AWS Community Builder (AI/ML Track), selected by Amazon Web Services for demonstrating high-level proficiency in Generative AI and Cloud Architecture.

He builds end-to-end AI systems deployed on AWS and GCP — including a live AI Shopping Assistant powered by Corrective RAG on AWS Bedrock, a Car Damage Detection system on AWS Lambda, and multiple RAG-based chatbots and AI agents. His core stack includes Python, FastAPI, LangChain, LangGraph, FAISS, Amazon Bedrock, Docker, TensorFlow, and PyTorch.

He is currently available for freelance and contract AI/ML engineering work. Get in touch →

Frequently Asked Questions

Imran Rafique is an AI/ML Engineer specializing in Generative AI, RAG pipelines, and agentic workflows. He is an AWS Community Builder (AI/ML Track) and builds end-to-end AI systems deployed on AWS and GCP — from intelligent chatbots and autonomous agents to scalable cloud deployments.
He specializes in Generative AI, Retrieval-Augmented Generation (RAG) pipelines, agentic AI workflows, LLM integration, computer vision, and cloud deployment on AWS and GCP. His core stack includes Python, FastAPI, LangChain, LangGraph, FAISS, Amazon Bedrock, Docker, TensorFlow, and PyTorch.
Live projects include: an AI Shopping Assistant using Corrective RAG on AWS with 18,992 real eBay products, a Car Damage Detection system using EfficientNet on AWS Lambda, a Personal AI Agent, an AI Data Visualization Agent, a Health Chatbot, and a Research Paper Analyzer. All are deployed and publicly accessible.
Yes, Imran is available for freelance and contract AI/ML engineering work. You can reach him via the contact page or at iamimranrafique@gmail.com.
Imran was selected as an AWS Community Builder in the AI/ML track in March 2026 — a global Amazon Web Services program for technical professionals demonstrating proficiency in cloud and AI services. He actively contributes RAG-based applications and agentic workflows using Amazon Bedrock.
Yes. Imran takes on freelance and contract projects for businesses needing AI chatbots, RAG-powered knowledge systems, custom AI agents, voice agents, computer vision, or cloud deployments on AWS and GCP. Start a conversation →
Reach out via the contact page with a brief description of what you need. Imran will scope the project, recommend the right approach, and provide a timeline. Most chatbot and RAG projects are completed in 1–2 weeks; voice agents typically take 2–3 weeks.

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