About Me
Results-driven Data Scientist and AI Engineer with 2+ years of experience delivering scalable ML systems and real-time AI pipelines across financial services, e-commerce, and healthcare domains. Adept at leading cross-functional solutions using large language models, computer vision, and MLOps technologies. Blending strong software engineering acumen with production-grade deployment experience.

Technical Skills
Machine Learning
Computer Vision
NLP & LLMs
Languages
Frameworks
Databases
Cloud Services
MLOps
DevOps
Professional Experience

Data Scientist
Bank Alfalah Limited
Leading the development of AI-powered solutions for banking operations and customer experience. Specializing in recommendation systems, computer vision, and natural language processing.
Key Achievements
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Recommender System for Alfa Mall:
Engineered ML-powered recommendation engine using collaborative filtering, content-based filtering, and real-time user behavior analytics, achieving 22% conversion uplift
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Compliance & Retail Chatbots:
Developed RAG-based chatbots with FAISS vector search and OCR integration, achieving 90% first-contact resolution
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Real-time ATM Anomaly Detection:
Deployed computer vision system across 150+ ATMs using optimized YOLOv8 and TensorRT on RTX 4090 GPU, achieving 65% latency reduction
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Vision LLM OCR Engine:
Built OCR-enhanced LLM pipeline automating document processing for all Pakistan banks, eliminating 80% manual effort
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Premier Customer Facial Recognition:
Implemented facial recognition system using InsightFace and DeepFace for premium customer identification
Technologies Used

Software Engineer
Matz Solutions Pvt Ltd
Developed intelligent chatbots and full-stack applications with ML model integration. Focused on creating scalable solutions for healthcare and business applications.
Key Achievements
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Info Senior Care Chatbot:
Developed intelligent chatbot with LLM integration and text-to-SQL capabilities for dynamic search across 16,000+ record database, deployed on AWS cloud
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Full-Stack Development:
Delivered React.js and Django-based applications with RESTful APIs and deployed ML models using Flask and FastAPI
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Database Optimization:
Improved query performance and implemented efficient data retrieval mechanisms
Technologies Used

Software Engineer Intern
Zenkoders
Worked on frontend engineering, building responsive interfaces and integrating REST APIs.
Technologies Used
Education

Studied Computer Science at National University of Computer and Emerging Sciences, focusing on AI, machine learning, and data science.

Completed Pre-Engineering with A-One Grade, focusing on Mathematics, Physics, and Computer Science.

Graduated as a top 5 student, achieved full marks in Computer Science and Mathematics.
Notable Projects
ProtecTa (FYP)
Multi-factor authentication system combining email, signature, liveness-based facial recognition, and fingerprint validation. Deployed via React Native and Flask on Microsoft Azure.
Gaze Tracker + Word Explanation Tool
Real-time webcam-based eye tracking system that identifies on-screen focus and reads definitions with TTS and STT with LLM support with 80 percent accuracy.
COVID Global Visualizer
Visualization platform for 190+ countries using area, scatter, radar and pictogram charts to track COVID-19 statistics and trends.
Certifications
Awards & Recognition
Data Science Dream Team Award
Bank Alfalah
Recognized for outstanding contributions to the data science team and implementing innovative AI solutions
Best Final Year Project Idea Award
FAST-NUCES
Awarded for the innovative multi-factor authentication system ProtecTa, combining biometrics and traditional authentication methods
Guest Relationship Award
IEEE/Procom FAST-NUCES
Recognized for exceptional communication skills and relationship management during Procom events
Interested in working together?
Let's discuss how my skills and experience can help your project succeed. I'm open to collaboration on innovative AI/ML projects.