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I am a Senior Machine Learning Engineer with 9+ years of experience designing, deploying, and scaling production-grade ML systems. I specialize in end-to-end ML lifecycle management, LLM integration, model serving, and cloud-native ML infrastructure on AWS, Azure, and GCP. I have a strong background in MLOps automation, containerized deployments, and building high-availability AI systems at scale. I enjoy collaborating cross-functionally with engineering, product, and client teams to move ML systems from experimentation to production.…I am a Senior Machine Learning Engineer with 9+ years of experience designing, deploying, and scaling production-grade ML systems. I specialize in end-to-end ML lifecycle management, LLM integration, model serving, and cloud-native ML infrastructure on AWS, Azure, and GCP. I have a strong background in MLOps automation, containerized deployments, and building high-availability AI systems at scale. I enjoy collaborating cross-functionally with engineering, product, and client teams to move ML systems from experimentation to production.

Shehryar Tariq

Data Scientist, AI Engineer, Full Stack Developer, +6

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I am a Senior Machine Learning Engineer with 9+ years of experience designing, deploying, and scaling production-grade ML systems. I specialize in end-to-end ML lifecycle management, LLM integration, model serving, and cloud-native ML infrastructure on AWS, Azure, and GCP. I have a strong background in MLOps automation, containerized deployments, and building high-availability AI systems at scale. I enjoy collaborating cross-functionally with engineering, product, and client teams to move ML systems from experimentation to production.…I am a Senior Machine Learning Engineer with 9+ years of experience designing, deploying, and scaling production-grade ML systems. I specialize in end-to-end ML lifecycle management, LLM integration, model serving, and cloud-native ML infrastructure on AWS, Azure, and GCP. I have a strong background in MLOps automation, containerized deployments, and building high-availability AI systems at scale. I enjoy collaborating cross-functionally with engineering, product, and client teams to move ML systems from experimentation to production.

Available to hire

I am a Senior Machine Learning Engineer with 9+ years of experience designing, deploying, and scaling production-grade ML systems. I specialize in end-to-end ML lifecycle management, LLM integration, model serving, and cloud-native ML infrastructure on AWS, Azure, and GCP.

I have a strong background in MLOps automation, containerized deployments, and building high-availability AI systems at scale. I enjoy collaborating cross-functionally with engineering, product, and client teams to move ML systems from experimentation to production.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior AI Engineer (Team Lead)

December 1, 2022 - Present

Architected and productionized Generative AI and LLM-powered systems (ChatGPT, Claude, Gemini, Hugging Face, Amazon Bedrock) across recruitment, retail, and social media domains. Designed scalable end-to-end ML pipelines covering data ingestion, validation, feature engineering, inference, deployment, and production monitoring. Built model-serving APIs using Python (FastAPI, Django) enabling low-latency inference for production AI systems. Implemented Retrieval-Augmented Generation (RAG) workflows using Pinecone/Qdrant vector databases for intelligent search, semantic retrieval, and recommendation systems. Created LLM agent orchestration workflows using LangGraph for multi-step automation, contextual reasoning, and workflow management. Built knowledge-graph-based retrieval solutions using Neo4j to improve relationship-aware querying and contextual intelligence. Containerized ML workloads using Docker to ensure reproducible and environment-consistent deployments. Deployed and operated ML

Senior AI Engineer (Team Lead) at Consultant – Remote

December 1, 2022 - Present

Architected and productionized Generative AI and LLM-powered systems across recruitment, retail, and social media domains. Designed scalable end-to-end ML pipelines covering data ingestion, validation, feature engineering, inference, deployment, and production monitoring. Built model-serving APIs enabling low-latency inference. Implemented Retrieval-Augmented Generation (RAG) workflows with Pinecone/Qdrant for semantic search and recommendations. Orchestrated multi-step AI automation with LangGraph and developed knowledge-graph retrieval solutions using Neo4j. Containerized ML workloads with Docker and deployed on AWS (EC2, CloudWatch) with MLflow for experiment tracking and lifecycle management. Set up CI/CD pipelines with GitHub Actions and established logging/monitoring with CloudWatch, Prometheus, and Grafana.

Data Scientist (Team Lead) at Five Rivers Technologies

June 1, 2020 - December 1, 2022

Led a team of 18 data scientists delivering ML-powered solutions for advertisement recommendations, social media analytics, and energy-sector applications. Designed and productionized ML models in scalable pipelines (Python, Scikit-learn). Managed data ingestion, transformation, feature engineering, and model training for predictive and recommendation systems. Supported deployment of ML services within microservices-based architectures; managed relational and NoSQL databases (PostgreSQL, MySQL, DynamoDB, Redis) to support high-performance inference workflows. Implemented structured model reviews, validation checks, and production monitoring to ensure reliability.

Senior Software AI Engineer

May 1, 2019 - June 1, 2020

Implemented Retrieval-Augmented Generation (RAG) workflows integrating Pinecone/Qdrant vector databases for intelligent search and recommendation systems. Built LLM agent orchestration workflows using LangGraph for multi-step AI automation and contextual reasoning. Developed enterprise GenAI solutions using Amazon Bedrock for scalable LLM deployment and integration. Designed knowledge graph-based retrieval solutions using Neo4j to enhance relationship-aware querying and contextual intelligence.

Senior Software AI Engineer at Five Rivers Technologies

May 1, 2019 - June 1, 2020

Implemented Retrieval-Augmented Generation (RAG) workflows with Pinecone/Qdrant for intelligent search and recommendations. Built LLM agent orchestration workflows using LangGraph for multi-step AI automation and contextual reasoning. Developed enterprise GenAI solutions using Amazon Bedrock for scalable LLM deployment and integration. Designed knowledge-graph retrieval solutions using Neo4j to enhance relationship-aware querying and contextual intelligence.

Software Engineer (Data Science & ML)

November 1, 2018 - April 1, 2019

Built machine learning models and analytical solutions for sports analytics (basketball) and automotive domains. Performed data collection, transformation, and exploratory data analysis to support predictive modeling initiatives.

Software Engineer (Data Science & ML) at Five Rivers Technologies

November 1, 2018 - April 1, 2019

Built machine learning models and analytical solutions for sports analytics and automotive domains. Performed data collection, transformation, and exploratory data analysis to support predictive modeling initiatives. Contributed to deployment of ML services within microservices-based architectures to improve scalability and modularity.

Software Engineer (Natural Language Processing) at TecShield

September 1, 2017 - October 1, 2018

Developed NLP pipelines using Python, NLTK, SpaCy, and Scikit-learn. Built data ingestion and preprocessing workflows using web scraping techniques. Developed and deployed NLP services within microservices-based architectures. Managed MySQL and MS SQL Server databases supporting ML-driven applications.

Software Engineer (.NET)

July 1, 2016 - September 1, 2017

Developed backend systems using C# and ASP.NET MVC. Built WPF-based desktop applications and collaborated directly with clients on requirements gathering and solution delivery.