Hi, my name is
Faizan Aziz.
I extract insights from data.
I'm a data scientist and machine learning engineer focused on deep learning, predictive analytics, computer vision, and large-scale data processing.
Get In Touch!About Me
- I’m a Data Science major at FAST NUCES focused on turning data into decision-ready insights through analytics, modeling, and data engineering.
- I worked as an AI Engineer at DMLytics, building preprocessing pipelines for drone imagery and automated flight planning workflows.
Working With
- Python
- SQL & NoSQL
- Deep Learning
- Computer Vision
- LLMs & RAG
- Cloud Computing
- Airflow & MLflow
- Data Engineering
Where I've Worked
AI Engineer @ DMLytics
Feb 2025 - June 2025
- Designed and deployed a computer vision pipeline for scalable preprocessing, standardization, and quality assurance of large image datasets.
- Processed 300GB+ of high-resolution visual data with metadata extraction, curation, and validation.
- Improved spatial consistency via geometric and perspective transforms and mosaicking using OpenCV, GDAL, and Rasterio.
- Built KML and KMZ automation utilities for configuration, visualization, and planning workflows.
Some Things I've Built
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Featured Project
Vigilon: AI-Powered Smart Surveillance System
- Python backend streams feeds; YOLO for weapon and intrusion detection, logic-based blackout and tampering detection; captures and uploads frames to cloud on alert.
- Flutter app: auth, live monitoring, event logs with level filters, camera management; Supabase Postgres with per-user RLS.
- Alerts in Postgres with real-time subscription; email sign-in and password reset.
- Python
- YOLO
- Flutter
- Supabase
- PostgreSQL
- OpenCV
- Computer Vision
- Deep Learning
-
Featured Project
AmazonCoBuy: Kafka Data Mining Engine
- Streamed Amazon product metadata to Kafka and consumed it with Apriori, ECLAT (sliding window), and PCY-style hashing.
- Persisted mining outputs and simple co-purchase signals into MongoDB.
- Included dataset preprocessing notebook plus producer/consumer pipeline on a single topic.
- Python
- Kafka
- MongoDB
- Apriori
- ECLAT
- PCY
-
Featured Project
PrismaFlow: Automated Preprocessing Pipeline
- Transforms raw data into ML-ready datasets in one click: null handling, outliers, data type conversions, encoding, scaling, feature selection.
- Cleaning mode and Advanced mode with full pipeline, per-column control, and step toggles.
- In-memory processing with comprehensive logging, column-level data reports, and CSV export.
- Python
- Flask
- Data Preprocessing
- Feature Engineering
- Data Pipelines
- ETL
Other Noteworthy Projects
What's Next?
Get In Touch
I'm always interested in hearing about new opportunities in AI engineering, machine learning, and data science. Whether you're hiring, have an interesting project, or just want to connect, feel free to reach out!
Say Hello