Turning hours of work into minutes using AI automation β‘
- π― Passionate about AI engineering, machine learning, and data analysis
- πΌ Building real-world AI solutions that automate human effort
- π§ Currently working on:
- Smart Finance Tracker (ML-powered finance assistant)
- University MERN + Redis backend rebuild
- π Love debugging and solving complex problems
- π Dream: Change the world with AI-driven automation
class MuhammadFaheem:
def __init__(self):
self.role = "AI Engineer"
self.location = "π Pakistan"
self.current_focus = "Generative AI, LLMs & Intelligent Agents"
self.passion = "Turning raw data into smart solutions"
def daily_routine(self):
return ["β Coffee", "π Data", "π§ Model", "π Deploy", "π Repeat"]FinPak helps you record income & expenses, visualize spending trends, and get ML-powered insights such as overspending risk, predicted savings, financial health classification, and suggested areas to save.
A production-ready back-end for audio transcription + speaker detection.
End-to-end data analysis using Python, NumPy, Pandas, and plotting insights.
An end-to-end Machine Learning web application built on mock data to predict GPA. I did this just to learn and test deployment
High-performance backend with session management and scalable architecture.
π₯ Always building, always improving. Letβs create something powerful with AI.
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