AI Engineer · Data Scientist

Ibrar Yousafzai

AI Engineer | Data Scientist | Machine Learning & Generative AI

I help businesses cut support workload and capture more leads with AI chatbots trained on their own data built and deployed in days, not months.

Projects
05
Certificates
04
Based in
PK
Ibrar Yousafzai

Introduction

About Me

I'm an AI Engineer specializing in production-ready AI systems from intelligent banking assistants to e-commerce recommendation engines to RAG-powered chatbots that solve real business problems.

I specialize in Machine Learning, Generative AI, Retrieval-Augmented Generation (RAG), and Data Science. I enjoy building AI products that solve real business problems from intelligent banking assistants and e-commerce recommendation systems to predictive analytics and conversational AI. Currently, I'm gaining industry experience while continuously expanding my expertise in Python, SQL, FastAPI, vector databases, and modern AI architectures. My goal is to build scalable AI systems that create measurable impact for businesses and society.

I also lead Khyber Future Hub, a community initiative around learning, collaboration, and opportunity.

How I work

  • Understand the business problem before writing code
  • Build practical AI solutions with measurable impact
  • Design clean, scalable, and maintainable systems
  • Focus on production-ready AI applications
  • Continuously learn and improve through real projects

Open to

  • Freelance AI Projects
  • RAG & LLM Development
  • Generative AI Projects
  • AI Chatbot & Automation Builds
  • Open Source Collaboration
  • Research Collaborations
  • Machine Learning Engineer Roles
  • Data Scientist Opportunities

Toolkit

Skills & Tools

Programming

PythonSQLJavaScript

Machine Learning

Scikit-learnRandom ForestRegressionClassification

Deep Learning

PyTorchNeural Networks

Generative AI

LLMsRAGPrompt EngineeringMistral AI

Backend Development

FlaskFastAPIREST APIs

Vector Search

FAISSChromaDB

Databases

PostgreSQLMongoDBSQL Server

Data Analysis

PandasNumPyMatplotlib

Frontend

HTMLCSSJavaScript

Tools

GitGitHubDockerVS Code

Cloud & Deployment

DockerLinux

Applied AI

RAG Models

4 model types

Retrieval-Augmented Generation connects language models to trusted business data, making answers more accurate, current, and useful.

01

Naive RAG

Retrieve relevant chunks, then generate a grounded answer.

02

Advanced RAG

Improve retrieval with query rewriting, reranking, and hybrid search.

03

Graph RAG

Use entities and relationships to answer questions across connected data.

04

Multimodal RAG

Retrieve and reason over text, images, tables, and documents together.

Where it matters

Industries that benefit from RAG

RAG is useful wherever teams need reliable answers from private, changing, or domain-specific information.

Healthcare

Search clinical knowledge and policy documents with traceable answers.

Finance

Query reports, regulations, and internal research with better control.

Education

Build learning assistants grounded in courses and institutional content.

Legal

Find clauses, precedents, and case evidence across large document sets.

E-commerce

Power product discovery and support from live catalog and policy data.

Manufacturing

Give teams fast access to manuals, maintenance, and safety knowledge.

Selected work

Projects

FinTech AICase study

Bankly-AI Banking Assistant

Customers get instant answers on loan eligibility, repayment calculations, and banking FAQs no waiting on a human agent, any time of day.

Built by combining RAG with ML prediction across 5 knowledge domains into a single AI assistant, cutting response time from human support to instant self-service.

PythonFlaskMachine LearningRAGFAISSMistral AINLPFinTechScikit-learnAI Chatbot
Generative AICase study

AI E-Commerce Shopping Assistant

Shoppers describe what they want in plain language and get personalized product matches instantly instead of scrolling through filters and categories.

Built on live product data with real-time retrieval, so recommendations stay accurate as inventory changes no manual updates needed.

PythonFlaskMongoDBClaude AIRAGNLPGenerative AIREST API
Machine LearningCase study

Environmental Analytics Engine & REST API

An end-to-end machine learning system that predicts air quality using historical environmental data, featuring data preprocessing, model training, evaluation, and a REST API for real-time predictions.

Developed a complete ML pipeline achieving high prediction accuracy and exposing the trained model through a FastAPI service.

PythonFastAPIScikit-learnMachine LearningRegressionPandasREST API
Data ScienceCase study

Customer Retention ML Pipeline

A machine learning pipeline for predicting telecom customer churn using feature engineering, model optimization, and deployment ready architecture.

Built a complete predictive pipeline with feature engineering, model evaluation, and Docker support for reproducible deployment.

Built a complete predictive pipeline with feature engineeringmodel evaluationand Docker support for reproducible deployment.
E-CommerceCase study

IFI Lifestyle

IFI Lifestyle is a multi-vendor e-commerce platform designed to help entrepreneurs and businesses launch and grow their online stores with zero registration costs. The platform provides each approved seller with a dedicated storefront, professional seller dashboard, secure order management, and marketing support, enabling businesses to reach customers across Pakistan through a trusted digital marketplace.

IFI Lifestyle Pakistan’s Modern Lifestyle Commerce Platform.

Join FreeGrow Your BrandSell with Confidence 🇵🇰

Credentials

Certifications & Vision

My mission is to build AI solutions that improve lives, automate complex workflows, and make intelligent technology accessible to businesses and people worldwide.

Events

Event Attempts & Certificates

Talks, workshops, competitions, and community events I've attended or attempted.

Workshop

Connected Pakistan Conference 2025

Attended Pakistan's premier technology and innovation conference, featuring sessions from founders, AI leaders, startup entrepreneurs, and technology experts. Explored emerging trends in Artificial Intelligence, entrepreneurship, digital transformation, and Pakistan's growing tech ecosystem.

Built valuable industry connections, gained insights into AI startups and product development, and learned how leading technology companies are applying AI to solve real-world problems.

Artificial IntelligenceNetworkingStartupsInnovationEntrepreneurshipTechnologyAICareer Development

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Community

Khyber Future Hub

Let's build something data-driven and useful.

I'm open to AI, machine learning, and data science opportunities, plus collaboration on projects where the work needs to be clear, practical, and measurable.

Chat with Ibrar