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I'm a Machine & Deep Learning Engineer.
I enjoy building AI & ML applications.
About me
I'm Maria Zafar, a passionate explorer in the realm of Artificial Intelligence and Machine Learning. With a Master's degree from IBA Karachi and now pursuing my PhD at SETU Ireland, I'm on a journey to craft sustainable solutions in Deep Learning for Machine Translation.
My research focuses on developing Sustainable Deep Neural Network solutions, particularly in MT systems, where I delve into techniques like knowledge distillation and model pruning to create compact yet high-performing models.
At SensViz, I dive into the world of ML & DL, shaping age predictions from images and deciphering street board text classifications. My knack for innovation shines through projects like chatbot development and federated learning for electricity prediction.
Beyond work, I thrive in Badminton tournaments and academic competitions, always seeking new horizons in the ever-evolving landscape of technology.
Projects
Teeth Detection
Developed a web application that uses a deep learning model to detect and segment teeth in dental X-ray images.
Timeseries Forecasting Using LSTMs
The project involved forecasting electricity consumption of household device.
Chatbot using NLP and Interface
Developed a chatbot using NLP and interface to provide information about the products from the catalogue.
Sentiment Analysis using BERT
Developed a chatbot using NLP and interface to provide information about the products from the catalogue.
StreetBoard Text Recognition and Classification
Text detection and classification from the street boards.
Skills
- Python
- Machine Learning
- Deep Learning
- Linux
- JavaScript
- Java
- C++
- HTML5
- CSS3
- Php
- PostgreSQL
- MySQL
- SQLite
- MongoDB
- Vercel
- AWS
- Git
- Postman
- Docker
Publications
Experience
Machine Learning Engineer
At Allia Health, I develop and deploy machine learning models to improve mental health care. I work with multimodal data, optimize existing models, and collaborate with clinicians to create personalized treatment solutions.
April 2024 - PresentPh. D AI Researcher at SETU
My Research focuses on developing Sustainable Deep Neural Network solutions, particularly focusing on Machine Translation (MT) systems. The goal of this work is to research on techniques like knowledge distillation, model pruning, and quantization to create compact and fast neural network models without compromising performance. I aim to provide competitive and environmentally conscious solutions for both research and commercial applications. Additionally, I aim to develop a composite metric to evaluate MT systems based on sustainability metrics, quality, speed, and size.
December 2023 - PresentDeep Learning and Machine Learning Engineer
Responsible for implementing ML & DL models based on requirements i.e., Age Prediction on image and video datasets using VGG16, ResNet. Trained the Object Detection, OCR, and Text Classification models on TensorFlow lite for mobile application using YOLOV4 and BERT, the application involved Text Classification from the Street board. And Several other applications have been implemented in COLAB, Jupyter Lab and Notebooks using Tensorflow, Keras, Pytorch, Open-CV, Sklearn models, Spacy, Pandas, NumPy,
September 2021 - PresentSenior Python Developer
Developed a mature chatbot using NLP based techniques, extracting NER following the text cleaning techniques i.e., Lemmatization, stop words removal using NLTK, Spacy, Textblob, Pandas in Python. The developed API brings products information directly from catalogue from user's simple query by segmentation of the keywords like products, cloths, medicines etc. Furthermore, deployed the model on AWS and provided the API to the frontend to integrate that data into any chatbot.
September 2021 - PresentMasters of Science in Computer Science
In June 2022, I completed my 2-Year MS CS program, graduating with a Masters of Science in Computer Science as well as concentrations in Machine and Deep Learning and Artificial Intelligence.
August 2019 - June 2022Digital Analyst Trainee
Conducted Audits for the data collected in Google Analytics 3&4, Did implementations on GTM for ecommerce websites.
September 2021 - February 2022Graduate Teaching Assistant
Assisted instructor in courses like Intro to Data Mining and Software Project Management(SPM). Responsibilities included: Gathering course material, Aggregating marks and In SPM played the role of a virtual client for a Software Development Project by linking theoretical aspects of the course to practical implementation.
January 2021 - December 2021Web Developer
Developed an admin panel and APIs for accounts management and ERP applications in PHP with MVC framework in Code Ignitor using MySQL and Frontend with JS (native –invoked from browser) and bootstrap 3.
November 2018 - July 2019Content Writer
Wrote contents for webpages and technical reviews. Managed technical documentation i.e. employee contracts, NDAs and software requirement documents. Performed QA of their software products through testing techniques.
March 2016 - August 2017Research Assistant
Team Lead on PSSP funded project “Analysis of Consumers’ Response for Deployment of Demand Side Management in Pakistan”. Researched and prepared summarized reports. Collaborated with team of undergrad students to identify relevant questions, demographics and determine methods of collection. Tested the simulator.
June 2014 - February 2016Research Assistant
Researched on the simulation of Demand Response technique using Machine Learning Technique, Case Base Reasoning to forecast the power consumption of devices and implemented a web-based simulator in PHP and JAVA as my senior year project.
January 2013 - June 2013Contact me
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