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M Faysal User

@mfaysaluser

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Senior Machine Learning Engineer building scalable GenAI and RAG systems in production.

Canada

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What I'm looking for

I’m looking to build and ship scalable GenAI/RAG products end-to-end—designing pipelines, deploying APIs on cloud, and improving models with strong MLOps. I value cross-functional teamwork, clear ownership, and growth through real production impact.

I’m a Senior Machine Learning Engineer with 10+ years designing, building, and deploying scalable AI and machine learning systems. My focus is Generative AI, Large Language Models (LLMs), Natural Language Processing, and Retrieval-Augmented Generation (RAG), turning model capability into real user experiences.

I build end-to-end ML pipelines and production-grade APIs, especially for NLP applications like conversational AI, document summarization, and semantic search. I’ve developed RAG pipelines integrated with vector databases such as FAISS and Pinecone, and I’ve built intelligent document processing systems using OCR pipelines, entity extraction, and deep learning models.

In deployment and MLOps, I’m comfortable taking projects from experimentation to reliable operations. I use FastAPI, Docker, and Kubernetes to ship services, and I rely on MLflow and Weights & Biases for automated model evaluation, prompt experimentation, and experiment tracking. For training efficiency, I’ve implemented parameter-efficient fine-tuning techniques like LoRA and PEFT.

I also bring strong data and platform skills across cloud ecosystems (AWS, GCP, and Azure) and big-data tooling (Apache Spark, PySpark, and Kafka). I mentor junior ML engineers and lead architecture reviews, partnering with product and engineering teams to deliver scalable AI solutions end-to-end.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

CodeLabs

Jan 2021 - Present (5 years 2 months)

Designed and deployed transformer-based generative AI (BERT, GPT, T5) for conversational AI, document summarization, and semantic search. Built scalable RAG pipelines with FAISS and Pinecone, developed FastAPI ML APIs, and containerized services with Docker and Kubernetes while using LoRA/PEFT fine-tuning and MLflow/Weights & Biases for evaluation.

Generative AI Large Language Models RAG Faiss Pinecone fastAPI Docker Kubernetes MLFlow Weights Biases

Senior Machine Learning Engineer

Stealth, Inc

Jul 2019 - Dec 2020 (1 year 5 months)

Designed and developed multilingual NLP systems for sentiment analysis, text classification, and information extraction using BERT and XLNet. Built predictive analytics pipelines for anomaly detection and time-series forecasting, deployed real-time inference with Flask and TensorFlow Serving, and automated data workflows with Apache Airflow and Docker.

BERT Flask Apache Airflow Docker Anomaly Detection Time Series Active Learning

Machine Learning Engineer

Fallacy Solutions

Aug 2015 - Jun 2019 (3 years 10 months)

Built machine learning models for NLP tasks including text classification, sentiment analysis, and document clustering. Developed Python and Apache Spark data preprocessing and scalable ETL pipelines for model training, deployed REST API-based services, and implemented model monitoring and retraining for production performance.

NLP Sentiment Analysis Clustering Python Apache Spark ETL REST APIs Model Monitoring