Skip to content
View salman-khan03's full-sized avatar
🏠
Working from home
🏠
Working from home

Block or report salman-khan03

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
salman-khan03/README.md

Salman Khan

CS ’27 | Backend & Full-Stack Software Engineer | Python, Java, TypeScript, React, FastAPI, AWS | Building AI-enabled products

About Me

Salman Aziz Khan

I’m a CS student focused on building reliable full-stack and AI-powered applications. I care about clean architecture, readable code, and shipping products that solve real user problems.

CS senior graduating May 2027.

Backend & Full-Stack Software Engineer focused on building production-oriented applications, cloud-deployed systems, and AI-enabled products.

Currently

  • Preparing for May 2027 SWE and new-grad recruiting
  • Deepening backend engineering, system design, DSA, and cloud skills
  • AWS Certified Developer – Associate β€” In Progress
  • Building production-oriented software and AI applications

Tech

Languages: Python β€’ Java β€’ TypeScript β€’ JavaScript β€’ SQL

Frontend: React β€’ Next.js β€’ Tailwind CSS

Backend: FastAPI β€’ Node.js β€’ Express β€’ REST APIs

Data: PostgreSQL β€’ SQLite β€’ Supabase β€’ ChromaDB

Cloud & DevOps: AWS β€’ Docker β€’ GitHub Actions β€’ Render

AI: RAG β€’ Embeddings β€’ LLM APIs β€’ LangChain

Skills


Featured Projects

DevScout

Multi-tenant developer-discovery SaaS with authentication, Stripe billing, semantic search, access controls, and GitHub GraphQL integration.

Job Engine

Python job-data platform processing and deduplicating 35,000+ job listings with 50 automated tests, CI/CD, and DOL H-1B data integration.

FitForge AI

Full-stack AI coaching application using Next.js, FastAPI, RAG, Supabase, ChromaDB, Docker, and automated deployment.

FIFA World Cup Predictor

ML-powered web app that predicts match outcomes using engineered features like form, xG, and home/away strength. Optimized PostgreSQL schemas and indexes to reduce inference latency by 40%.

Tech: React, JavaScript, PostgreSQL, Python (ML)


Connect

Pinned Loading

  1. Plant-Advisor Plant-Advisor Public

    Python 1