Hello, I'm
Aafia Azhar
Computer Systems Engineer · AI/ML Engineer · Full Stack Developer
Get To Know More
About Me
Computer Systems Engineering graduate with hands-on machine learning internship experience across NLP, computer vision, and predictive analytics. I build full-stack AI-powered applications, fine-tune LLMs, train vision models, and take ideas from research and development through to deployment.
Education
B.E. Computer Systems Engineering
Intermediate, Pre-Engineering
Undergraduate Thesis
AutoGrade: An AI-Based Self-Assessment System Using Image-to-Text Conversion & LLM-Based Grading
Fine-tuned Llama 3.2-3B with LoRA for semantic exam grading — extracting handwritten answers with a multimodal LLM and grading them against rubric criteria, reaching 93%+ text-extraction accuracy.
Explore My
Expertise
Programming & Databases
- Python
- Java
- C / C++ / C#
- SQL · MATLAB · Verilog
- PostgreSQL / MySQL / SQL Server
Machine Learning
- scikit-learn
- XGBoost
- Random Forest
- Support Vector Regression (SVR)
Deep Learning & Generative AI
- PyTorch · TensorFlow / Keras
- CNNs
- BERT / Transformers · LLMs
- LoRA Fine-Tuning
- Prompt Engineering
Computer Vision & XAI
- OpenCV · YOLO
- Semantic Segmentation
- Image Processing
- SHAP / Grad-CAM / LIME
Web & Full-Stack
- React
- Express.js / Node.js
- ASP.NET Core · Flask · Streamlit
- REST APIs
Tools & Deployment
- Git & GitHub
- Docker
- Jupyter Notebook
- n8n
Where I've
Worked
Generative AI & Prompt Engineering Intern
- Practiced zero-shot vs. few-shot, chain-of-thought, and persona prompting; built a reusable prompt library, a custom chatbot, and a RAG mini-project for document-grounded Q&A with structured JSON output.
- Explored multi-agent systems and built a no-code automation workflow connecting an LLM to a real-world task pipeline.
Machine Learning Intern
- Built regression models for student-score prediction and time-series sales forecasting (XGBoost), evaluated with MAE, RMSE, and R².
- Built a K-Means customer-segmentation model, a collaborative-filtering movie recommender (SVD, Precision@K), and a loan-approval classifier handling imbalance with SMOTE.
AI/ML Engineering Intern
- Built regression models for house-price and stock-price prediction, and reached strong accuracy on heart-disease risk classification.
- Fine-tuned BERT for 4-category news classification and built a multimodal CNN + tabular housing-price model alongside a production-style scikit-learn churn pipeline.
Machine Learning Intern
- Built an AI content-marketing automation system (GPT + Unsplash API + Google Apps Script) that cut blog/caption creation time from hours to seconds.
- Developed a multilingual AI voice-cloning studio with noise-reduction filtering, and a 6-class emotion detection model combining TF-IDF, VADER, and XGBoost.
Browse My Recent
Projects
Satellite Flood Detection from Imagery
From-scratch U-Net benchmarked against a pre-trained EfficientNetB4 model for flood segmentation on satellite imagery in TensorFlow, reaching a Dice score of 0.892 and IoU of 0.831.
Lexicon & Transformer-Based Emotion Detection
Multiclass emotion classifier combining lexicon methods with Transformer models to analyze written text with high accuracy.
Face Mask Detection System
Real-time detection using CNN (MobileNetV2) and OpenCV, served through a Flask dashboard for live classification.
Breast Cancer Classification System
XGBoost classifier trained on the Breast Cancer Wisconsin (Diagnostic) dataset, wrapped in a Flask web app with a JSON API and live accuracy/precision/recall/ROC-AUC reporting. Built for portfolio and learning purposes, not clinical use.
AI Resume Analyzer & Interview Prep
Full-stack ASP.NET Core 8 MVC app with resume parsing, ATS scoring, skill-gap analysis, and an interview-prep module with an analytics dashboard.
AI Content Marketing Platform
Automated content generation and analytics tracking built on Node.js and Express, wired to LLM APIs to draft and schedule marketing copy.
SafeRoute — Smart Safety App for Women
One-tap safety app in Kotlin with instant SOS alerts, live location sharing, and offline SMS fallback for emergencies.
Smart Traffic Controller, Emergency Priority
Digital controller designed in Verilog HDL with FSM-based real-time routing that overrides normal signal flow for emergency vehicles.
Smoke Detection & Fire Prevention System
Simulated IoT smart-home network in Cisco Packet Tracer where smoke detectors trigger a central gateway to coordinate doors, windows, garage, sprinklers, and an alarm over DHCP-assigned devices.
Taj Mahal — 3D CAD Model
Full 3D AutoCAD model of the Taj Mahal built with and without marble surface textures, with reference photos used to match real proportions and materials.
Browse My
Certificates
28 certifications across ML/AI, volunteering, sports, and workshops. Filter by category, tap any to view.
Get in Touch
Contact Me
I welcome opportunities for collaboration, research engagement, and conversations on how AI and machine learning can address meaningful real-world challenges.