Salman Khan

CORE

Director Data Science at Afiniti

Company website: https://www.afiniti.com/

London, GB

Joined Jan 2024

https://medium.com/@salmanskhan

About

Salman Khan is the Director of Data Science at Afiniti, where he drives innovative solutions to complex business challenges through data science. With a specialization in machine learning, statistical modelling, and a strong focus on generative AI, Salman leads multiple teams of data scientists and engineers in the development and deployment of cutting-edge AI-driven applications. Salman has led AI projects delivering measurable business value, including real-time prediction systems, advanced language models, semantic search platforms, and generative AI applications. Salman’s expertise spans deep learning, probabilistic modelling, and a broad range of data science techniques, with advanced proficiency in Python, R, and SQL.

Stats

Reputation:	2794
Pageviews:	191.6K
Articles:	11
Comments:	28

Expertise

Data

Articles
Comments

Articles

Beyond Retrieval: How Knowledge Graphs Supercharge RAG

Graph RAG combines knowledge graphs with LLMs to structure text into entities and relationships, enabling explainable reasoning and more accurate insights.

September 17, 2025

· 3,506 Views · 2 Likes

From Zero to Production: Best Practices for Scaling LLMs in the Enterprise

Learn how enterprises can scale LLMs to production with best practices in model selection, infrastructure design, cost control, governance, and monitoring.

May 12, 2025

· 13,821 Views · 2 Likes

Recommender Systems Best Practices: Collaborative Filtering

Recommender systems predict preferences using feedback, tackling sparsity and cold starts with collaborative filtering, matrix factorization, and hybrid models.

March 24, 2025

· 8,914 Views · 2 Likes

The Perceptron Algorithm and the Kernel Trick

The Perceptron Algorithm is a foundational linear classifier for binary tasks, influencing modern ML with concepts like iterative weight updates and activation functions.

February 24, 2025

· 3,164 Views · 2 Likes

Best Practices for Evaluating LLMs and RAG Systems

Rigorous evaluation of LLM generation and retrieval systems drives robust, reliable, and ethical performance in RAG pipelines.

January 27, 2025

· 7,939 Views · 4 Likes

Mastering Retrieval Augmented Generation: From Fundamentals to Advanced Techniques

RAG enhances LLMs by linking them to external retrieval systems, while advanced RAG addresses challenges in query formulation, embedding generation, and accuracy.

January 9, 2025

· 9,265 Views · 5 Likes

An Introduction to Linear Programming: Concepts, Formulation, and Solution Methods

Methods like the Simplex and Interior-Point Methods, along with tools such as Google OR-Tools and the POT library, provide efficient solutions for LP problems.

December 3, 2024

· 12,769 Views · 5 Likes

Probabilistic Graphical Models: A Gentle Introduction

Explore this guide to probabilistic graphical models, which represent probability distributions and capture conditional independence structures using graphs.

September 25, 2024

· 30,654 Views · 49 Likes

Overview of Classical Time Series Analysis: Techniques, Applications, and Models

Explore what makes time series analysis unique and the specialized techniques and models needed to understand and predict future patterns or trends.

August 5, 2024

· 55,140 Views · 30 Likes

Understanding Bayesian Modeling and Probabilistic Programming for Machine Learning

Unlike frequentist methods, the Bayesian model directly models uncertainty and offers a framework to incorporate expert knowledge into models.

May 9, 2024

· 18,860 Views · 55 Likes

Enhancing Churn Prediction With Ensemble Learning Techniques

Customer churn is a substantial threat to businesses, affecting revenue and strategic planning. Predictive analytics has transitioned to an indispensable element of business strategy.

January 23, 2024

· 27,596 Views · 28 Likes

Comments

5 Tips for Fine-Tuning LLMs

Nov 12, 2024 · Kevin Vu

Great post!

Integrated Gradients: AI Explainability for Regulated Industries

Nov 12, 2024 · Vamsi Kavuri

Great insights!

The Battle of Data: Statistics vs Machine Learning

Nov 11, 2024 · Vasanthi Govindaraj

Great Insights!

From Algorithms to AI: The Evolution of Programming in the Age of Generative Intelligence

Nov 11, 2024 · Irene Fatyanova

Great post!

The Data (Pipeline) Movement: A Guide to Real-Time Data Streaming and Future Proofing Through AI Automation and Vector Databases

Nov 11, 2024 · Caitlin Candelmo

Great Insights!

Model Compression: Improving Efficiency of Deep Learning Models

Nov 11, 2024 · Inderjot Singh Saggu

Great Insights!

Building Scalable AI-Driven Microservices With Kubernetes and Kafka

Nov 11, 2024 · Dileep Kumar Pandiya

Great Post!

Creating Conversational Intelligence: Machine Learning's Impact on Personalized Automated Texting

Nov 06, 2024 · Phil Portman

Great Insights!

Optimizing Vector Search Performance With Elasticsearch

Nov 06, 2024 · Venkata Gummadi

Great Insights!

Building Product to Learn AI, Part 2: Shake and Bake

Nov 06, 2024 · Obaid Sarvana

Great Insights!

Build Retrieval-Augmented Generation (RAG) With Milvus

Nov 06, 2024 · Ifeanyi Benny Iheagwara

Great Insights!

In-Depth Understanding of Vector Search for RAG and Generative AI Applications

Nov 06, 2024 · Mohammed Talib

Great Insights!

Semi-Supervised Learning: How to Overcome the Lack of Labels

Nov 06, 2024 · Aleksandr Timashov

Insightful read!

Integrating ChatGPT With ReactJS: A Comprehensive Guide

Nov 04, 2024 · Atul Naithani

Great read. The potential of AI-assisted code generation to transform software development is truly exciting!

Unleashing the Power of GPT: A Comprehensive Guide To Implementing OpenAI’s GPT in ReactJS

Nov 04, 2024 · Atul Naithani

Great read. The potential of AI-assisted code generation to transform software development is truly exciting!

Unlock AI Power: Generate JSON With GPT-4 and Node.js for Ultimate App Integration

Nov 04, 2024 · Pradeep kumar Saraswathi

Great read. The potential of AI-assisted code generation to transform software development is truly exciting!

Day in the Life of a Developer With Google’s Gemini Code Assist: Part 1

Nov 04, 2024 · Aakash Sharma

Fascinating article! The potential of AI-assisted code generation to transform software development is truly exciting!

Supercharge Your Search With GenAI: From Simple Queries to Smarter Results

Nov 04, 2024 · Suruchi Shah

Insightful read! Retrieval-Augmented Generation is particularly valuable in this context, as it combines traditional search with generative AI to enhance information retrieval

AI Augmented Software Engineering: All You Need to Know

Nov 04, 2024 · Batista Dave

Great article! The potential for AI-assisted code generation to revolutionise software development is incredibly exciting!

Chat With Your Code: Conversational AI That Understands Your Codebase

Nov 04, 2024 · Pavan Vemuri

Fantastic article! It’s exciting to see how Gen AI can streamline code review, improve debugging, and even enhance documentation.

A Framework for Building Semantic Search Applications With Generative AI

Nov 04, 2024 · $$anonymous$$

Fascinating article! The potential of LLMs is truly exciting!

How to Scale RAG and Build More Accurate LLMs

Nov 04, 2024 · Andrew Sellers

Fascinating article! The potential of LLMs is truly exciting!

History and Future of LLMs

Nov 01, 2024 · Kevin Vu

Fascinating article! The potential of LLMs is truly exciting!

Connecting ChatGPT to Code Review Made Easy

Nov 01, 2024 · marcytillman25

Fascinating! The potential of AI-assisted code generation to transform software development is truly exciting!

Why AI-Assisted Code Generation Is Transforming Software Development

Nov 01, 2024 · Danny Logsdon

Fascinating article! The potential of AI-assisted code generation to transform software development is truly exciting!

How to Use Retrieval-Augmented Generation (RAG) Locally

Nov 01, 2024 · Shamim Bhuiyan

Great Insights and tutorial! RAG systems indeed represent a major leap in how we harness real-time information with LLMs!

RAG Systems: A Brand New Architecture Tool

Nov 01, 2024 · Pier-Jean MALANDRINO

Great Insights! RAG systems indeed represent a major leap in how we harness real-time information with LLMs!

Challenges and Ethical Considerations of AI in Team Management

Nov 01, 2024 · Nimit Gupta

Completely agree with the focus on continuous learning for teams! AI’s role in team management is evolving so quickly, and keeping our skills sharp is essential. Great insights here!