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
- Iām 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
- RAG & LangChain
- AWS
- Vector DBs
- 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
-
Featured Project
Vigilon: AI-Powered Smart Surveillance System
- Built a CCTV smart surveillance pipeline for weapon/intrusion detection and behavior anomalies.
- Implemented YOLO-based object detection and adaptive anomaly detection.
- Designed end-to-end video ingestion ā threat classification ā alerting ā backend integration.
- Python
- YOLO
- Computer Vision
- OpenCV
- 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
CortexMonitor: IoT Telemetry Monitoring Platform
- Collects CPU, memory, and disk utilization from host or Docker collectors and stores samples in MongoDB.
- Exposes dashboard, collect, analytics, and admin views with charts and natural language analytics.
- Runs as a portable Docker Compose stack with optional Windows host agent.
- Python
- Flask
- MongoDB
- Docker
- LangChain
- Analytics
- OpenAI
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