ML ENGINEER

Sundus Aijaz 
Machine Learning Engineer

"Seeking to learn, develope and grow"
Details

Why choose me?

I've been working as a python developer and Machine Learning Engineer since 3+ years. Constantly learning and growing by developing different projects from Python Automation to Deep Learning models to Data Engineering. 
image
features

My Services 


Below are my highlighted services for your requirements.

Machine Learning

From Regression to Classification to Unsupervised Learning. Built several ML models based for forecasting, classification, clustering etc.

Deep Learning

Providing services in the development of variety of Deep Learning model such as CNN, Language Model, Detection & segmentation models etc etc.

Web Scraping

Also build different scrapers or web-crawlers in order to fetch data in real-time from the target sources to either build a AI model or to perform Data Analysis

Data Gathering/Labelling

Acquiring data and creating labels is cruical. Therefore, also providing services to create/gather/label raw data wrt to user end-requirements.

Data Science and Analysis

Presenting Analysis and Insights based on project requirements in the form of PPT, Report or Dashboard

BackEnd Development

Every AI model needs a support. Therefore, I also develop APIs and Backend to function the AI model in real world

Portfolio Gallery

Browse through some of my featured projects
image Cow Emotions and Posture Analysis:
Developed a Deep Learning model to identify the emotion of dairy animals through their posture using input image. analysis
image Traffic Engineering: Real-Time Road Analysis:
Developed a real-time vehicle analysis system through vehicle detection and lanes segmentation using Yolov3 and yolov5 and vehicles speed estimation along with Flask BackEnd
image Osteoporosis Detection:
Developed Deep Learning model to identify the disease class through knee bones X-ray images
image Shipments Automation - Desktop App:
Developed a python based web automation system to create bookings of containers of items to ship
image Employees Resignation System
Developed a AI based desktop app to create predictions of companies employees either they would resign in future or not. Alongside displaying statistical information as well
image Horse Race Prediction
Predicting the performance of different horses from the tournament using machine learning.
image Face Recognition and Tracking
Using dlib to recognize face and track faces using Oscort algorithm.
image GPT Text Generation To Reply User Queries
To clean raw data using regex and spacy and training the pre-trained gpt davinci model using Openai API.
image Food Delivery Rules Generation
Generated rules using unsupervised learning in order to identify potential customers for food delivery based on customers meta-data
image Edible-Contaminated-Food-Classification
The primary goal was to build such a Deep Learning model through CNN that can classify many fruits and vegetables as either Contaminated or Edible through the image.
image Final Year Project
'Spyeye Surveillance System' : This project was introduced to make the surroundings more secure by interating AI object detection techniques in order to identify any fight happening. Or detection of harmful element such as knife and handgun.

My Certifications

image PIAIC Artificial Intelligence
image DeepLearning.AI Tensorflow Developer
image Machine Learning with PySpark
image Microsoft: Introduction to programming using Python

Have a discussion in mind?
Connect with me on LinkedIn