Available for software & AI engineering roles

AI / BACKEND / PRODUCT ENGINEERING

I build useful AI products.

I’m Salman, a software engineer who builds AI tools, reliable backends, and simple product experiences.

Explore selected work ↓ Resume ↗

01 / SELECTED WORK

Selected projects.

A few projects that show what I build and the results they create.

Featured case study Factory monitoring / 2026

AI-Powered Factory Monitoring Dashboard

A factory simulation that streams machine data, stops when a machine fails, and uses AI with CNC manuals to explain the problem and suggest a fix.

View source ↗

AI-Powered Factory Monitoring Dashboard with three machine streams, live sensor charts, failure states, and alerts

THE SYSTEM

3parallel CNC machine streams

1 secsynthetic telemetry cadence

~9 secmanual-grounded diagnosis

HOW IT WORKS

React receives live machine data through WebSockets. After a failure, LangGraph checks the final readings against three CNC manuals in Pinecone and creates a clear diagnosis.

ReactFastAPIWebSocketsLangGraphPineconeDocker

Telemetry history and machine failure controls — 01 Stop-on-failure replay and telemetry inspection

AI maintenance diagnosis with root cause and manual references — 02 Manual-grounded root-cause report

LangGraph retrieval and synthesis inspector — 03 Transparent multi-agent retrieval flow

Production RAGLive product

ShamelaGPT

Search and question answering across more than eight million pages of Arabic Islamic literature. AraBERT and Pinecone help users find the right passages quickly.

90%improvement in research efficiency

AraBERTPineconeLangChainFastAPI

Visit live product ↗

LIVE

Agentic AIPrivate system

Legal Document Management System

An AI system that reads large legal files, organizes evidence, builds case timelines, and highlights disputed events for lawyers.

85%less review time

70%productivity increase

LangGraphTextractPostgreSQLGemini

Private client codebase / Neural Lines

NLPRecommendation

Hotel recommendation system

A recommendation tool built from 10,000+ hotel reviews. It uses review sentiment to rank hotels by what travelers value.

PythonNLTKSeleniumBeautifulSoup

GitHub ↗ Report ↗

02 / EXPERIENCE

Where I’ve worked.

Experience turning AI ideas into products people can use.

FEB — NOV 2025

Neural Lines / Remote

Python Engineer

Built production AI systems for legal work and Arabic research, covering document processing, search, APIs, monitoring, and chat experiences.

Processed 1,000+ page legal bundles with Textract and Tesseract
Shipped multilingual retrieval across 8M+ indexed pages
Reduced review workflows from weeks to days

JUL — SEP 2024

HeadStarter / Remote

Software Engineering Fellow

Built five AI products in seven weeks, including a medical assistant, AI flashcards, and an inventory tool.

Built with Next.js, LangChain, Pinecone, and Llama
Delivered scoped products in global hackathon teams

JUL — SEP 2023

Red Buffer / Islamabad

Full Stack Intern

Worked on REST API development and testing for client projects using the MERN stack, with training in backend architecture and PostgreSQL query optimization.

Built and tested REST API features
Worked with MERN and PostgreSQL

03 / CAPABILITIES

Tools I use.

From data and AI workflows to APIs and the final interface.

AI systems

Search, RAG, AI agents, NLP, and model testing

LangGraph · LangChain · Pinecone · Scikit-Learn · NLTK

Backend

APIs, databases, background tasks, and live data

Python · FastAPI · PostgreSQL · Node.js · Express.js

Cloud & data

Document processing, OCR, storage, and deployment

AWS Textract · S3 · Tesseract · Docker · Linux

Frontend

Clean and responsive interfaces for web and mobile

React · TypeScript · Next.js · Flutter · HTML/CSS

04 / CONTACT

Let’s build something useful.

I’m open to software and AI engineering opportunities.

salmanqurban36@gmail.com ↗

LinkedIn ↗ GitHub ↗ Resume ↗