Muaaz Arif

* Built and deployed 20+ AI applications to production using MLOps Python, PySpark, NLP, LLM, and GenAI, improving AI adoption.
* Increased the scalability of services of up to 10,000+ employees globally using MLOps, AWS, and Kubernetes.
* Optimized data processing pipelines, reducing data retrieval time by 30%.
* Scaled up the data science operation by 20% and maintained its operations using Data

* AI-powered Sales & Discount Prediction Model for WALMART
* Developed and deployed real-time sales forecasting models, increasing demand prediction accuracy by 25%.
* Built sales impact models using Prophet, achieving 5% MAPE for improved forecasting.
* Automated MLOps pipelines on GCP & Dataproc, reducing model processing time by 50%.*

PROJECT: AI-powered voice ordering chatbot for Domino’s Pizza
* Developed a voice-based chatbot handling 1,000+ calls daily, improving order efficiency by 60%.
* Designed ASR models with Kaldi & Wav2Vec, achieving 85%+ transcription accuracy.
* Reduced latency by 35% with optimized ZMQ-based model deployment.

PROJECT: AI-Powered KYC Verification for SHUFTIPRO
* Developed an AI-driven KYC system, cutting verification time by 50%.
* Designed fraud detection models, improving accuracy to 95% and ensuring GDPR & ISO compliance.
* Built a YOLO-based document detection system, increasing verification speed by 40%.

PROJECT: AI-Based Crop Disease Detection
*Developed a computer vision model with 90% accuracy, assisting farmers in disease detection.
*Built an AI-powered advisory system, reducing farm losses by 20%.

*TA for 2 Courses: Computer Networks(CS332) and Computer Communication and
Networks(CC3611w).
*Responsible for grading approximately 90 students.

Worked with the Advanced Metering Infrastructure section, developed an SMS portal system for digitalizing electricity bills, and maintained existing system features.

*Work with Advance Metering Infrastructure(AMI) Section.
*Develop SMS Portal System to digitalising the electricity bill, use third party APIs to send the billing messages. Maintain and upgrade existing system features for better performance

Specialization: Natural Language Processing

Major Subject: Data Mining, Big Data, Data Warehousing, Machine Learning, Natural Language
Processing, Cloud Computing, Artificial Intelligence.

BS in Software Engineering with coursework in Data Mining, Big Data, Data Warehousing, Machine Learning, Natural Language Processing, Cloud Computing, and Artificial Intelligence.