Summary

As a seasoned Machine Learning Engineer, I excel in architecting sophisticated solutions that leverage the richness of data. With mastery in TensorFlow, PyTorch, and a flair for optimizing models, I've spearheaded impactful deployments that enrich business intelligence. My collaborative ethos and dedication to crafting pristine code guarantee that each model not only delivers stellar performance but also stands the test of time as a prized strategic asset.

Education

NED University of Engineering and Technology

Computer and Information Systems Engineering - Master in Artificial Intelligence

2023 - 2025

Specializing in cutting-edge artificial intelligence, I am actively engaged in a master's program that has already seen the completion of advanced courses in machine learning and the mathematical foundations of AI. Currently, I am delving into the intricate realms of deep learning and computer vision, which are pivotal in shaping the future of intelligent systems. This rigorous curriculum is equipping me with the knowledge and skills necessary to contribute to the forefront of AI innovation.

Iqra University

Computer Science - BSCS

2016 - 2021

Skills

  • Machine Learning

    Supervised learning (Classification and Regression)

    Logistic Regression

    Naive Bayes Classifier

    K-Nearest Neighbour

    Decision tree

    Linear Regression

    UnSupervised learning (Clustering)

    k-means clustering

    k medians clustering

    Deep Learning (Hyper Parameter Tuning)

    Single Layer Perceptron model:

    Artificial Neural Networks (ANN)

    Deep Neural Networks (DNN)

    Gradient Descent (Optimization) (ADA,ADAM,RSM)

    Activation Functions (Sigmoid, RELU)

    Generative AI

    Prompt Design

    Prompt Engineering

    Zero-shot or Few-shot learning

    Fine Tuning

  • Software Engineer

    JAVA

    DART

    PHP

    SQL

    REACT

    Mongo DB

    Firebase

Work Experience

OB-Host

Intern/Junior Developer

December 2019 - August 2020

Divers Club - September 2020 - August 2021

Mobile Application Developer (Android/Flutter)

September 2020 - August 2012

Aptech Learning ShareFaisal

Faculty Member

September 2021 - February 2023

BMC Solution

Mobile Application Developer

October 2022 - July 2023

TPS World Wide

Senior Software Engineer

August 2023 - Now

Projects

Image Classification using DNN

Academic Project

Using CIFAR-10 Dataset

Fraud Detection using Logistic Regression

Learning Project

Used L1 and L2 logistic Regression

HBL Currency Exchange

Team Memeber

The app is based on currency exchange reservation system, the app developed on flutter and used BLoC patter, in this project my role is to fixed api integration and state management bugs also test each components also I was working on permission management and OTP auto fetch module after all done the app deploy on play store also app store, Now app is live also used in commercial level

International Smart Card ISC

Team Member

Languages

Language

English

Good

Language

Urdu

Native

Vision In Machine Learning

Research On Optimization Technique

Gradient descent is one of the most adaptive methods to minimize the error in weights, employing various techniques. My goal is to further research and discover more optimized ways to find the global minima.

Contribute ML model in Fintech industry

My vision is to contribute to the fintech industry by implementing advanced AI technologies that enhance cybersecurity and create user-friendly financial applications. This includes leveraging NLP for chat support, developing robust fraud detection systems, and minimizing the need for repetitive OTP verifications, thereby improving the overall user experience in fintech services.