Sadia
Khalil.
Software Engineer & AI/ML Developer
A Software Engineering graduate from PUCIT building intelligent full-stack systems — combining React, FastAPI, and LLM-driven applications to solve real problems.
About
A bit about me.
I'm Sadia — a Software Engineering graduate from PUCIT, Lahore with a strong passion for building things that are both technically rigorous and genuinely useful. Over the course of my degree, I've gone deep into full-stack web development, AI/ML systems, and scalable backend architecture.
I thrive at the intersection of engineering and problem-solving. Whether it's architecting a RAG pipeline, building a real-time social platform with SignalR, or fine-tuning a computer vision model — I approach every project with the same curiosity and attention to detail.
Beyond code, I've mentored 50+ students in DSA, Machine Learning, and Web Engineering as a Teaching Assistant, and I've been an active participant in hackathons and academic leadership throughout my studies.
Currently Based
Lahore, Pakistan
Degree
B.Sc. Software Engineering
University
PUCIT
sadiakhalil957@gmail.com
Education
B.Sc. Software Engineering
PUCIT, Lahore
Currently Seeking
Experience
Where I've worked.
Software Engineer Trainee
Dubizzle Labs
Worked on PROPFORCE within the sales team, resolving and implementing backend tickets using Node.js, Express.js, and Sequelize. Collaborated with cross-functional teams to debug issues and enhance product functionality.
Software Engineer
Spiral Labs
Developed and maintained software products using modern JavaScript frameworks, contributing to end-to-end feature development and code quality improvement.
Teaching Assistant
PUCIT
Mentored 50+ students across three courses: Web Engineering (ASP.NET C#), Machine Learning (CNNs, PyTorch), and OOP/PF (C++). Conducted lab sessions, reviewed assignments, and provided one-on-one guidance.
DSA Mentor
Peer Community
Solved a significant number of LeetCode problems and conducted structured peer sessions on data structures, algorithms, and problem-solving strategies.
Class Representative
PUCIT
Served as the primary liaison between students and faculty throughout the degree. Advocated for academic improvements and facilitated communication across departments.
Skills
Technical expertise.
Languages
Frontend
Backend & APIs
AI & Machine Learning
Databases & Tools
Node.js Ecosystem
Core Strengths
Full-Stack Architecture
End-to-end product development across .NET, React, and FastAPI stacks with clean separation of concerns.
AI System Design
Computer vision pipelines (YOLOv8), RAG document systems, and multi-agent LLM orchestration with LangGraph.
Algorithmic Thinking
Strong foundations in data structures and algorithms with hands-on competitive programming experience.
Mentoring & Leadership
Taught 50+ students in DSA, ML, and Web Engineering as a TA; led teams as Class Representative.
Projects
Selected work.
A smart B2B lead generation platform featuring a general-purpose web scraper, parallel task orchestration with Apache Kafka, and containerized deployment using Docker and Kubernetes.
An advanced live AI agent framework specialized for Peruvian Law. Provides legal answers with official citations, performs clause audits, compares document versions, and automates regulatory alerts.
An intelligent coding platform with AI-powered question generation, dual-pane code editor, real-time evaluation and scoring powered by Llama 3. Supports user authentication and topic selection.
An autonomous agent that converts news articles into engaging videos. Orchestrates scraping, script generation, voiceover creation, and video compilation with visuals — end-to-end.
A real-time social platform with follow, like, comment, push notifications, and chat — powered by SignalR. Fully dockerized and published to Docker Hub.
AI-powered interview practice platform that simulates real-time interview sessions, provides detailed feedback, tracks session history, and supports body language analysis via pose detection.
Trained YOLOv5 and YOLOv8 object detection models achieving 95% accuracy across 30+ plant diseases. Deployed via a Flask-based web application with real-time inference.
Contact
Let's work together.
Open to software engineering roles, AI/ML projects, and meaningful collaborations. My inbox is always open — let's talk.
Find me online
© 2026 Sadia Khalil. All rights reserved.
Lahore, Pakistan