Machine Learning Engineer with 4+ years of experience in mobile app development and generative AI (RAG). Skilled in building and optimizing ML models with Python, TensorFlow, and state-of-the-art AI systems.
Summary
Education
NED University of Engineering and Technology
Master in Artificial Intelligence
2023 - 2025
Iqra University
Computer Science - BSCS
2016 - 2021
Skills
NLP & AI
Open AI Assistant Tools, API call
Llama, OpenAI API, Deepseek API
Vector Databases (Pinecone, FAISS, Milvus)
Machine Learning
Supervised learning (Classification and Regression)
UnSupervised learning (Clustering)
Deep Neural Networks (DNN)
Software Development
JAVA
DART
PHP
SQL
REACT
Cloud & Big Data
AWS (EC2, Lambda, S3, SageMaker),
Hadoop
Kafka
Elasticsearch
Work Experience
TPS World Wide
Senior Software Engineer
August 2023 - Now
- Developed AI-driven solutions using RAG and OpenAI models for intelligent decision-making.
- Integrated Pinecone and FAISS for improved retrieval accuracy.
- Optimized ML model performance, reducing inference time by 60% for faster predictions.
BMC Solution
Mobile Application Developer
October 2022 - July 2023
- Developed and deployed the HBL Currency App using Flutter.
- Worked on Sindh Bank's application to streamline and optimize the KYC (Know Your Customer) process.
- Successfully resolved a critical bug in the Envicrete App, ensuring smoother functionality.
Aptech Learning
Faculty Member
September 2021 - February 2023
Taught programming and machine learning concepts to students, improving course engagement and technical proficiency. Developed hands-on projects to enhance learning outcomes
Divers Club
Mobile Application Developer (Android/Flutter)
September 2020 - August 2021
Worked on Divers Club’s product, a platform for booking trips, by enhancing the user experience and streamlining the booking process through mobile application development.
OB-Host
Intern/Junior Developer
December 2019 - August 2020
Work on a pre-built hosting application, focusing on enhancing user experience and optimizing platform performance.
Projects
Mastercard Consultant
A concise platform with knowledge of Mastercard mandates, enabling seamless code generation in compliance with regulations.
Chat TPS
Chat TPS is a unified knowledge platform with resources like the TPS Community Portal, Developer Documentation, API Docs, and Product Knowledge.
Fraud Detection using Logistic Regression
Developed a machine learning model using logistic regression to detect fraudulent transactions in the European cardholders' dataset (September 2013). Improved fraud detection accuracy by fine-tuning hyperparameters.
HBL Currency Exchange
The app is based on currency exchange reservation system.
Machine Learning Research Interests
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.