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Rao Umar Backend AI Engineer

BS Computer Science student building AI-powered systems and production backends — from stock forecasting models to full-stack apps shipped end to end.

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01 · About

Shipping AI systems,
not just training them.

I'm a BS Computer Science student at Arid Agriculture University, currently working as a Backend AI Engineer Intern at FlyRank AI. I like the unglamorous part of AI engineering: the APIs, the databases, the deploy pipeline that turns a working model into a working product.

My projects lean toward finance and forecasting — stock prediction dashboards, time-series models — but the common thread is always the same: full-stack ownership, from data to deployment.

Machine Learning Backend Engineering Full-Stack Development Data Science
02 · Experience

Where I've been building.

Backend AI Engineer Intern

Jun 2026 — Present

FlyRank AI

Building and shipping backend services for AI-driven products — API design, data pipelines, and applied ML in production.

BS Computer Science

2025 — Present

Arid Agriculture University

Coursework and independent projects spanning machine learning, systems programming, and full-stack development.

03 · Projects

Things I've shipped.

Agile Kanban task management dashboard
Flagship build

Agile Kanban

A production-grade, full-stack Kanban task manager — not another CRUD tutorial. JWT authentication, bcrypt password hashing, drag-and-drop boards, live analytics, and a real deploy pipeline shipped end to end on Vercel.

  • React + Vite frontend, Express REST API backend
  • PostgreSQL on Neon for persistent data
  • Protected routes, priorities, filtering & search
  • Frontend + backend both deployed on Vercel
ReactExpressPostgreSQLJWTVite
Live demo → Source code →
Stock prediction dashboard interface

Stock Prediction Web App

AI-powered forecasting dashboard using ARIMA, LSTM and Prophet, with a live interactive chart.

PythonTensorFlowProphet
View repo →
Apple stock analysis dashboard

Apple Stock Analysis

Machine learning analysis and forecasting of AAPL price data using ARIMA, LSTM and Prophet models.

JupyterARIMALSTM
View repo →
Space Invaders game built in C++

Space Invaders

A 2D arcade-style game built in C++ using Raylib, as a first-semester BSCS project.

C++Raylib
View repo →
04 · Skills

The stack I build with.

Languages

Python
JavaScript / TypeScript
C++

ML / AI

TensorFlow / Keras
Scikit-Learn
Time-Series (ARIMA/Prophet)

Backend & Tools

FastAPI / Flask / Express
PostgreSQL / SQLite
Docker / Git / GitHub
05 · Certifications

Credentials on record.

Foundations

IBM

Getting Started with Git and GitHub

Jul 2026
IBM

Introduction to HTML, CSS, & JavaScript

Jul 2026

Machine Learning

University of Pennsylvania

Artificial Intelligence Essentials

Jan 2026
Great Learning

Machine Learning Pipeline

Nov 2024
Great Learning

Machine Learning Algorithms

Nov 2024
Great Learning

Python for Machine Learning

Nov 2024
Great Learning

Scikit Learn

Nov 2024
Great Learning

SciPy in Python

Nov 2024
Great Learning

Machine Learning Landscape

Nov 2024

Finance & Applied AI

Forage

J.P. Morgan — Quantitative Research Job Simulation

Jan 2026
06 · Contact

Let's build something.

Open to backend, AI, and full-stack opportunities. The fastest way to reach me is email.

Email raomuhammadomer@gmail.com GitHub @RaoMuhammadUmar LinkedIn rao-umar X @xsbyrao