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Hi there! I'm Sal Choudhry, a Senior Machine Learning Engineer based in the United States. I design, deploy, and optimize AI/ML systems at scale, focusing on LLM integration, RAG architectures, and robust MLOps pipelines. I love turning complex data into practical, high-impact solutions that improve latency, accuracy, and user experience. With a strong background in Python and cloud-native deployments (AWS/GCP/Azure), I build production-grade ML platforms and scalable microservices, collaborating with cross-functional teams to deliver enterprise-ready AI features and reliable inference at scale.…Hi there! I'm Sal Choudhry, a Senior Machine Learning Engineer based in the United States. I design, deploy, and optimize AI/ML systems at scale, focusing on LLM integration, RAG architectures, and robust MLOps pipelines. I love turning complex data into practical, high-impact solutions that improve latency, accuracy, and user experience. With a strong background in Python and cloud-native deployments (AWS/GCP/Azure), I build production-grade ML platforms and scalable microservices, collaborating with cross-functional teams to deliver enterprise-ready AI features and reliable inference at scale.

Sal Choudhry

Data Scientist, AI Engineer, AI Developer, +3

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Hi there! I'm Sal Choudhry, a Senior Machine Learning Engineer based in the United States. I design, deploy, and optimize AI/ML systems at scale, focusing on LLM integration, RAG architectures, and robust MLOps pipelines. I love turning complex data into practical, high-impact solutions that improve latency, accuracy, and user experience. With a strong background in Python and cloud-native deployments (AWS/GCP/Azure), I build production-grade ML platforms and scalable microservices, collaborating with cross-functional teams to deliver enterprise-ready AI features and reliable inference at scale.…Hi there! I'm Sal Choudhry, a Senior Machine Learning Engineer based in the United States. I design, deploy, and optimize AI/ML systems at scale, focusing on LLM integration, RAG architectures, and robust MLOps pipelines. I love turning complex data into practical, high-impact solutions that improve latency, accuracy, and user experience. With a strong background in Python and cloud-native deployments (AWS/GCP/Azure), I build production-grade ML platforms and scalable microservices, collaborating with cross-functional teams to deliver enterprise-ready AI features and reliable inference at scale.

Available to hire

Hi there! I’m Sal Choudhry, a Senior Machine Learning Engineer based in the United States. I design, deploy, and optimize AI/ML systems at scale, focusing on LLM integration, RAG architectures, and robust MLOps pipelines. I love turning complex data into practical, high-impact solutions that improve latency, accuracy, and user experience.

With a strong background in Python and cloud-native deployments (AWS/GCP/Azure), I build production-grade ML platforms and scalable microservices, collaborating with cross-functional teams to deliver enterprise-ready AI features and reliable inference at scale.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior Machine Learning Engineer at BBrown

April 1, 2022 - Present

Designed and productionized LLM-powered features including semantic search and automated summarization, reducing manual review time by 60%. Optimized NLP models with TensorFlow and Transformers, boosting accuracy by 20% and lowering inference latency by 30%. Built a real-time AI-driven recommendation system for a large-scale e-commerce platform, increasing CTR by 35% and driving 25% higher user engagement. Led deployment of multiple models on AWS SageMaker and Azure ML, enabling scalable production solutions. Implemented scalable microservices with FastAPI and Docker to improve model throughput by 50% under high traffic. Designed and deployed Agentic AI pipelines using LangChain and AutoGen, reducing manual intervention by 45%. Mentored junior engineers on optimization, deployment, and monitoring best practices.

Machine Learning Engineer at Carmel Solutions

January 1, 2020 - March 1, 2022

Built enterprise-grade RAG pipelines using vector databases (Pinecone, FAISS) and LangChain, enhancing retrieval accuracy. Developed NLP pipelines for text classification and sentiment analysis with TensorFlow and scikit-learn, reducing processing time. Deployed ML models as RESTful APIs with Flask and Docker, accelerating time-to-insight by 30%. Implemented data engineering solutions with Apache Kafka and Spark, automating pipelines handling 10M+ data points daily. Optimized feature engineering and hyperparameters, achieving a 40% improvement in prediction accuracy.

Jr. Machine Learning Engineer at inDrive

October 1, 2017 - December 1, 2019

Developed and deployed ML models for fraud detection with scikit-learn, achieving 98% detection accuracy and reducing false positives by 25%. Built and maintained ETL pipelines for large-scale data, reducing data cleaning time by 35%. Collaborated with the DS team to implement model retraining pipelines using MLflow, automating lifecycle management and reducing retraining overhead by 50%.