Available for opportunities

Python Backend & AI Developer

Building RAG Applications, Voice AI Systems, Scalable Backend APIs, and Data Scraping Pipelines

Python Backend and AI Developer with hands-on experience building production-grade RAG systems, FastAPI backend services, data scraping pipelines, and speech processing applications. Contributed to FaceMagic, an AI-powered Face Swap application with 100,000+ downloads, and developed multiple AI-powered products across various domains.

100,000+
App Downloads
3+
Production APIs
4+
Data Pipelines
6+
AI/ML Projects

About Me

Get to know me and my journey in AI and software engineering

I'm a Python Backend and AI Developer who builds things that actually ship. From contributing to a 100,000+ download AI app to developing production-grade RAG systems and data scraping pipelines, I focus on writing real code that solves real problems.

Core Expertise

RAG systems, FastAPI backend services, data scraping pipelines, and AI-powered applications with production-grade deployment.

Education

Computer Science, Bahria University Islamabad. Graduated June 2026. Actively seeking full-time roles in AI development and backend engineering.

Notable Work

Contributed to FaceMagic, an AI-powered Face Swap app with 100,000+ downloads.

Professional Experience

AI Development, Backend Engineering, and Data Projects

Research Assistant

Revolve AI

  • Analyzed Islamic religious texts using Python to extract structured insights for AI-driven NLP research initiatives.
  • Identified and documented numerical and linguistic patterns within Quranic scripture, contributing to the numericalmiraclesofquran.com research project.
  • Validated discovered patterns using Python scripts and Google Colab notebooks, ensuring 100% analytical reproducibility.
Python
NLP
Data Analysis
Google Colab
Pattern Recognition

AI/ML Intern

Revolve AI

  • Supported AI/ML projects involving data preparation, annotation, and dataset curation for model training.
  • Processed speech-to-text transcriptions using OpenAI Whisper for football match commentary analysis.
  • Applied Named Entity Recognition (NER) to extract structured entities from raw unstructured text at scale.
  • Labeled and curated custom image and text datasets used in production model training pipelines.
Python
OpenAI Whisper
NER
Data Annotation
Roboflow

Annotation Projects

Hand Detection Annotation
  • Annotated all hand instances in images using Roboflow, drawing precise bounding boxes around every hand regardless of pose, orientation, or partial occlusion.
  • Maintained consistent multi-hand labeling per project guidelines and performed self-QA before batch submission.
  • Exported clean, model-ready datasets for use in production computer vision training pipelines.
Floor Plan Image Annotation
  • Annotated architectural floor plan images labeling doors, stairs, hallways, and room types across multiple batches.
  • Performed self-review passes to catch boundary and class errors; used Roboflow for dataset organization and export.
Brand Classification Annotation
  • Classified and labeled 100+ brand entities for an AI brand-recognition training dataset across diverse industry categories.
Instruction-Response Annotation for LLM Fine-Tuning
  • Created instruction-response pairs from long-form passages to support Supervised Fine-Tuning (SFT) of language models.
  • Labeled answer types (factual, inferential, opinion-based), marked unanswerable questions, and scored context relevance to improve model output quality.
Audio Call Classification & Response Selection
  • Reviewed recorded customer call audio from insurance company interactions and selected the most suitable response from predefined options per call scenario.
  • Classified caller intent and query type; flagged ambiguous or low-quality recordings for escalation while maintaining high annotation accuracy across batches.

Python Backend Developer

FaceMagic

  • Co-developed FaceMagic, a Face Swap AI Photo App achieving 100,000+ downloads on Google Play Store and Apple App Store.
  • Designed and implemented scalable REST APIs using FastAPI to support real-time digital image processing and face-swapping functionality.
  • Optimized API throughput via asynchronous processing and efficient in-memory image handling, reducing average response time by approximately 30%.
Python
FastAPI
MySQL
Postman
JMETER

My Projects

AI, Backend Development, and Data Engineering Projects

#1

Sirat-al-Mustaqeem

RAG-Powered AI Mobile Application

Built a production-grade Retrieval-Augmented Generation system for an AI mobile app. Integrated LangChain for intelligent document processing, implemented vector databases for semantic search, and optimized RAG pipelines for low-latency responses on mobile devices.

RAG
LangChain
Python
Vector Databases
LLMs
#2

FaceMagic

AI-Powered Face Swap Application with 100,000+ Downloads

Contributed to FaceMagic, an AI-powered face swap application that reached 100,000+ downloads. Implemented computer vision algorithms for real-time face detection and swapping. Built scalable backend infrastructure to handle high user traffic.

Python
FastAPI
MySQL
Postman
JMETER
#3

Real Estate Data Pipeline & Power BI Dashboard

End-to-end data scraping and analytics solution

Developed a comprehensive data scraping pipeline extracting real estate data from multiple sources. Created interactive Power BI dashboards for real-time market analysis and insights. Implemented automated ETL workflows for continuous data updates.

Web Scraping
Selenium
Data Pipeline
Power BI
Python
ETL
#4

Glassdoor Salary Scraper

Advanced web scraping system for salary data

Built a robust web scraper to collect and analyze salary data from Glassdoor. Implemented data cleaning, validation, and statistical analysis. Created visualizations for salary trends across industries and roles.

Web Scraping
Selenium
Data Analysis
Python
BeautifulSoup
#5

Fake vs Real Image Detection

Computer vision model for deepfake detection

Developed a deep learning model using Vision Transformers to distinguish between real and AI-generated images. Trained on diverse datasets with 95%+ accuracy. Implemented for real-time inference in web and mobile applications.

Computer Vision
Vision Transformers
PyTorch
Deep Learning
#6

Home Price Predictor

Machine learning model for real estate price prediction

Built a regression model using Scikit-Learn to predict home prices with high accuracy. Performed feature engineering and data preprocessing on real estate datasets. Deployed as API for real-time predictions.

Machine Learning
Scikit-Learn
Python
Regression

Other Notable Projects

Eyecon — Contact Sync & Phone Lookup REST API (FastAPI, MongoDB)

Upwork Profile Scraper

Sunnah.com Scraper

TheRealReal.com Scraper

SofaScore Scraper

Semester Project Management System

YouTube Downloader

Heart Disease Prediction using ANFIS

Technical Skills

Expertise in AI, Backend Development, and Data Engineering

Languages

Python
C++
Dart (Flutter)
HTML
CSS

Frameworks & APIs

FastAPI
Flask
REST APIs
OAuth 2.0 (Google, GitHub)

AI / ML

LangChain
Scikit-learn
NER
Vision Transformer (ViT)
OpenAI Whisper
RAG

Cloud (Azure)

Azure OpenAI Services
Azure App Service
Azure Virtual Machine
AWS EC2 Instance
Render
Vercel

Speech & Voice

STT
Whisper
Coqui TTS
Vapi.ai

Databases

MySQL
SQLite
MongoDB
Firebase (NoSQL)

Data & Scraping

Pandas
NumPy
Matplotlib
Seaborn
Selenium
BeautifulSoup
Power BI

DevOps & Tools

Git
GitHub
Docker
VS Code
PyCharm
Google Colab

Annotation Tools

Roboflow
Image Labeling
Text Annotation
Audio Classification

Let's Connect

Have a project in mind or want to collaborate? I'd love to work with you.

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