Umair
Inayat
Transforming complex data into actionable insights. Specializing in Deep Learning, NLP, and building scalable AI architectures that solve real-world problems.
class MLEngineer:
def __init__(self):
self.name = "Umair Inayat"
self.role = "Data Scientist"
self.stack = [
"PyTorch",
"TensorFlow",
"NLP"
]
def solve_problem(self, data):
# Deploying scalable AI solutions
model = build_transformer()
return model.predict(data)About Me
I bridge the gap between theoretical AI research and production-grade software engineering.
With a strong academic background and hands-on experience as a Teaching Assistant at the University of Management and Technology, I have honed my skills in explaining complex concepts and building robust systems.
My expertise lies in Machine Learning, Deep Learning, and Computer Vision. Whether it's training Large Language Models or optimizing neural networks for edge devices, I am driven by the challenge of creating intelligent systems.
2+
Years of Experience
20+
Projects Completed
ML/DL
Specialization
Experience & Education
Teaching Assistant
Mentoring students in core Computer Science subjects including Object-Oriented Programming (OOP), Data Structures & Algorithms (DSA), Databases, Machine Learning, and Operating Systems. Assisting faculty with course management, grading, and lab sessions.
Machine Learning Engineer
Developing end-to-end Machine Learning pipelines and Deep Learning models. Specialized in Natural Language Processing (NLP) and Computer Vision. Working on open-source projects including an AI Research Assistant and Custom C++ Compiler.
BS Computer Science
Focusing on Artificial Intelligence, Data Science, and Software Engineering. Active member of the university's coding club and competitive programming team. Three time merit list award holder.
Technical Arsenal
Machine Learning & AI
Development
Data & Tools
Let's Build the Future
I'm currently looking for new opportunities in Machine Learning and Data Science. Whether you have a question or just want to say hi, I'll try my best to get back to you!