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Mauzam Ali

@mauzamali

Message

Machine Learning & AI engineer specializing in LLM/RAG systems and real-time ML APIs that cut costs.

Pakistan

Message

What I'm looking for

I’m looking to build and deploy production-grade AI—especially LLM/RAG systems and real-time ML APIs—while owning the full ML lifecycle, optimizing latency and cloud cost, and working cross-functionally to deliver measurable business impact.

Machine Learning & AI Engineer with 7+ years of experience building and deploying scalable AI systems across NLP, Computer Vision, and Generative AI. I specialize in developing LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, and real-time ML APIs for production environments, while owning the full ML lifecycle from data engineering to deployment and optimization.

At BinarySol, I architected and deployed enterprise-grade LLM systems using OpenAI and open-source models, and built advanced RAG-based enterprise document intelligence that reduced manual query handling by 70%. I designed production-ready microservices with FastAPI and Docker, delivered high-concurrency real-time inference with optimized latency/load balancing, and led computer vision pipelines using YOLOv5/YOLOv8. I also optimize model cost with pruning and quantization, integrate CI/CD for continuous deployment and automated retraining, and collaborate closely with product, data, and DevOps teams to align AI solutions with business KPIs.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Specialist

Current

BinarySol

Jun 2023 - Present (3 years)

Architected and deployed enterprise LLM systems using OpenAI and open-source models, building RAG document intelligence that reduced manual query handling by 70%. Developed real-time, high-concurrency ML APIs and AI microservices, and optimized models to reduce cloud costs.

LLM Retrieval Augmented Generation (RAG)OpenAI fastAPI Docker YOLOv5 YOLOv8 CI CD For ML

AI/ML Engineer & Data Scientist

H2o Labs

Jan 2021 - Dec 2022 (1 year 11 months)

Delivered end-to-end AI solutions for predictive analytics, classification, clustering, and recommendation systems. Built ETL pipelines and deployed real-time NLP and computer vision models via production ML APIs.

ETL Flask fastAPI NLP Sentiment Analysis Named Entity Recognition Computer Vision Feature Engineering Hyperparameter Tuning

Junior ML Engineer & Data Scientist

ESS Junior

Jan 2018 - Dec 2020 (2 years 11 months)

Developed machine learning models for classification, regression, and forecasting, performing end-to-end data preprocessing and feature engineering. Built deep learning models in TensorFlow/Keras and supported deployment and validation of ML models from staging to production.

Machine Learning data preprocessing Feature Engineering TensorFlow Keras Model Validation regression Classification

Education

Degrees, certifications, and relevant coursework

University of the Punjab

Bachelor of Computer Science, Computer Science

2014 - 2018

Activities and societies: Projects: Context-Aware AI Chatbot (LLM + RAG), Real-Time Fraud Detection, AI-Based Traffic Monitoring (YOLO + OpenCV), Intelligent Invoice Processing (OCR + NLP).

Bachelor's in Computer Science with hands-on project work including an LLM + RAG context-aware chatbot, real-time fraud detection, AI-based traffic monitoring, and OCR + NLP invoice processing.