Hi, my name is
Hasnain Raza.
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
JobSwipe: AI-Powered Smart Surveillance System
- Python backend automates full job pipeline; Scraper Agent pulls live listings across 4 portals using Scrapling and anti-bot bypass systems.
- Tinder-style swipe platform with three-stage Matching Agent; surfaces top job matches in under 550ms across 10K+ listings.
- Single right swipe triggers Optimization Agent; tailors resumes against live job descriptions in under 10 seconds and auto-submits applications.
- Python
- Supabase
- FAISS
- Redis
- Scrapling
- NLP
-
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
EdgeGuard: Realtime Fire Detection on Edge Devices
- Python edge backend processes camera feeds; Custom CNN Model for fire and smoke detection, logic-based hazard verification, captures alert frames and uploads incidents to cloud storage.
- IoT monitoring platform streams live device status; dashboard for camera health, event logs, alert history, and remote node management across edge locations.
- Real-time alert pipeline with low-latency triggers; notifications, event persistence, and scalable deployment on resource-constrained edge devices.
- 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