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Salman Mujtaba

@salmanmujtaba

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Senior AI/ML Engineer at Morgan Stanley building RAG inference services and LLM output monitoring.

United States

Message

What I'm looking for

I'm available for remote contract work on AI training and evaluation projects.

At Morgan Stanley, I built RAG-based inference solutions and secure AI services, and contributed to AWS-native platforms for distributed training and real-time inference. I automated MLOps workflows and developed data pipelines for model training and analytics.

At CGI, I established retrieval-based monitoring to evaluate LLM output quality and reduce inconsistent responses. I also built Python inference services and NLP pipelines for text classification and automated summarization.

At Pragiti, I automated data quality validation, cutting errors by 35% while keeping uptime above 99%. I also designed ETL pipelines and cloud data warehouses, improving query performance by 50%.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Morgan Stanley

Jun 2025 - Present (1 year 5 months)

Built RAG-based inference solutions and secure API-driven AI services with FastAPI, GraphQL and Amazon EKS. Automated end-to-end MLOps workflows with SageMaker, Airflow, Terraform, Docker and CI/CD, improving deployment efficiency and model reliability.

RAG fastAPI GraphQL Amazon EKS AWS Sagemaker Airflow Terraform Docker CI CD Apache Spark Kafka AWS Glue

EMR

Redshift Great Expectations Cloudwatch QuickSight

Machine Learning / Gen AI Engineer

CGI

Jan 2023 - May 2025 (2 years 4 months)

Established retrieval-based monitoring to evaluate LLM output quality and reduce inconsistent responses. Built real-time Python REST inference services and custom NLP pipelines for text classification and automated summarization.

LLM RAG NLP Python REST APIs Text Classification Summarization Access Control Schema Validation

Pipeline Safeguards

AI/ML Engineer

Johnson & Johnson

Mar 2021 - Dec 2022 (1 year 9 months)

Built feature extraction and data transformation workflows with Azure Data Factory, Synapse Spark, dbt and Python for large-scale model training and retraining. Drove MLOps practices with MLflow, Azure Machine Learning, Docker, AKS and Microsoft Purview.

Azure Data Factory Azure Synapse DBT Python fastAPI REST APIs MLFlow Azure Machine Learning Docker AKS Microsoft Purview Terraform ARM Templates Bicep Azure Functions Event Hub Apache Flink

Data Engineer

Pragiti

Jan 2018 - Feb 2021 (3 years 1 month)

Automated data quality validation across ingestion steps, cutting errors by 35% and keeping uptime above 99%. Designed and optimized ETL pipelines and cloud data warehouses in Python, SQL and Spark, handling 2TB+ of data daily and improving query performance by 50%.

Python SQL Spark ETL Data Warehouse Data Quality

Recommendation Logic

ML models