About Me

I am a Machine Learning Developer with experience in building intelligent systems that can learn and make decisions based on data. My expertise lies in developing and implementing machine learning models to solve complex business problems.

As a Machine Learning Developer, I am proficient in programming languages such as Python and R, and I have experience working with popular machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. I am also familiar with various data processing and visualization tools like Pandas, NumPy, Matplotlib, and Seaborn.

My experience includes working with both structured and unstructured data, including image and text data. I am skilled in developing deep learning models for computer vision and natural language processing tasks, as well as traditional machine learning models such as decision trees, random forests, and support vector machines.

I am passionate about staying up-to-date with the latest developments in the field of machine learning, and I enjoy exploring new techniques and algorithms to solve challenging problems.

Experience

	Company	Position	Duration	Responsibilities
	Machine Learning 1	Associate Data Scientist	From: Sep 2023 UpTo: now	Data preprocessing, augmentation, and feature engineering Created and optimized ML and DL models using TensorFlow, PyTorch, and YOLO Transfer learning with pre-trained Huggingface models Hyperparameter tuning and analysis for optimized performance
	ARF INTERACTIVES (Pvt.) Ltd.	Junior Machine Learning Engineer	From: Jan 2023 UpTo: Aug 2023	Developed and optimized ML and DL models Worked with OpenCV for computer vision tasks Data visualization and model evaluation
	Globizitech Solutions	Machine Learning Engineer (Intern)	From: Jun 2022 UpTo: Dec 2022	Implemented machine learning pipelines and workflows Optimized models for better performance Data visualization using tools like Matplotlib and Seaborn
	Block360	Web Developer (Intern)	From: Jan 2020 UpTo: Jun 2020	Worked on front-end web development using Vue.js Implemented responsive and interactive UI components

Educational Background

Year	Degree	Board/University	Details
2023	MS (Computer Science)	COMSATS University, Lahore	Specialization: Machine Learning Thesis: Contextual Hate Speech Identification Using Topic Modelling and Deep Learning GPA: 3.3
2019	BS (Computer Science)	COMSATS University, Islamabad	Coursework: AI, Machine Learning, Data Structures Final Year Project: AltEx - A Decentralized Cryptocurrency Exchange
2014	Inter (Computer Science)	BISE (Sargodha)	Major Subjects: Mathematics, Physics, Computer Science
2012	Matric (Science)	BISE (Sargodha)	Major Subjects: Mathematics, Physics, Chemistry

Certifications and Specializations

Certification	Details	Provider	Completion Year
Machine Learning Specialization	Supervised Learning: Regression and Classification Advanced Learning Algorithms Unsupervised Learning and Reinforcement Learning Verification Link	Stanford University (Deeplearning.ai) via Coursera	2024
IBM AI Engineering Professional Certificate	Machine Learning with Python Introduction to Deep Learning and Neural Networks Computer Vision and Image Processing Verification Link	IBM via Coursera	2024
Python for Everybody Specialization	Programming Basics with Python Python Data Structures Retrieving, Processing, and Visualizing Data Verification Link	University of Michigan via Coursera	2024
Deep Learning Specialization	Neural Networks and Deep Learning Convolutional Neural Networks Sequence Models Verification Link	Deeplearning.ai via Coursera	2024

Honors and Awards

Award	Details	Year
1st Position in COMSATS Final Year Projects Competition	Project: AltEx - A Decentralized Cryptocurrency Exchange	2019