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Lead AI/ML Engineer with 14+ years of software engineering experience building scalable AI, machine learning, and cloud-native enterprise platforms. Specialized in Generative AI, LLM applications, RAG, agentic AI, semantic search, and high-throughput real-time inference. Owns end-to-end delivery from technical discovery and prototyping through production deployment, monitoring, and continuous improvement. Hands-on with GPT-4, Claude, LangChain, Kubernetes, AWS, and Azure, leading AI platform patterns and MLOps practices across distributed systems and enterprise products.…Lead AI/ML Engineer with 14+ years of software engineering experience building scalable AI, machine learning, and cloud-native enterprise platforms. Specialized in Generative AI, LLM applications, RAG, agentic AI, semantic search, and high-throughput real-time inference. Owns end-to-end delivery from technical discovery and prototyping through production deployment, monitoring, and continuous improvement. Hands-on with GPT-4, Claude, LangChain, Kubernetes, AWS, and Azure, leading AI platform patterns and MLOps practices across distributed systems and enterprise products.

Muhammad Shabeeh Syed

AI Engineer, Data Scientist, Software Engineer, +2

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Lead AI/ML Engineer with 14+ years of software engineering experience building scalable AI, machine learning, and cloud-native enterprise platforms. Specialized in Generative AI, LLM applications, RAG, agentic AI, semantic search, and high-throughput real-time inference. Owns end-to-end delivery from technical discovery and prototyping through production deployment, monitoring, and continuous improvement. Hands-on with GPT-4, Claude, LangChain, Kubernetes, AWS, and Azure, leading AI platform patterns and MLOps practices across distributed systems and enterprise products.…Lead AI/ML Engineer with 14+ years of software engineering experience building scalable AI, machine learning, and cloud-native enterprise platforms. Specialized in Generative AI, LLM applications, RAG, agentic AI, semantic search, and high-throughput real-time inference. Owns end-to-end delivery from technical discovery and prototyping through production deployment, monitoring, and continuous improvement. Hands-on with GPT-4, Claude, LangChain, Kubernetes, AWS, and Azure, leading AI platform patterns and MLOps practices across distributed systems and enterprise products.

Available to hire

Lead AI/ML Engineer with 14+ years of software engineering experience building scalable AI, machine learning, and cloud-native enterprise platforms. Specialized in Generative AI, LLM applications, RAG, agentic AI, semantic search, and high-throughput real-time inference.

Owns end-to-end delivery from technical discovery and prototyping through production deployment, monitoring, and continuous improvement. Hands-on with GPT-4, Claude, LangChain, Kubernetes, AWS, and Azure, leading AI platform patterns and MLOps practices across distributed systems and enterprise products.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Lead AI/ML Engineer at Databricks

May 1, 2022 - Present

Led architecture and delivery of production-grade AI/ML capabilities including Generative AI, LLM applications, RAG, agentic workflows, semantic retrieval, and scalable inference. Designed cloud-native AI systems using Python, Kubernetes, AWS, and Azure with strong focus on scalability, reliability, maintainability, and production readiness. Built and evolved AI copilots and multi-agent solutions integrating foundation models, enterprise context, retrieval, and orchestration. Owned the full lifecycle: discovery/prototyping, deployment, evaluation, monitoring, optimization, and operational support. Established reusable AI platform patterns for model access, retrieval, inference, and data/ML pipelines; guided engineering practices for quality, observability, testing, performance, cost, latency, and reliability.

Senior Machine Learning Engineer at Forcepoint

January 1, 2018 - April 30, 2022

Designed and productionized enterprise-scale ML/AI systems bridging model development with backend and distributed systems engineering. Built ML pipelines for data preparation, feature engineering, training, validation, inference, and production monitoring with repeatability and operational reliability. Applied NLP, deep learning, predictive modeling, and semantic techniques across structured and unstructured data. Developed scalable inference services and APIs with clean interfaces, production performance, fault handling, and maintainable architecture. Improved production ML practices via automated testing, deployment workflows, monitoring, debugging, documentation, and root-cause analysis; provided technical leadership and mentoring.

Software Engineer – Machine Learning at DataRobot

July 1, 2014 - December 31, 2017

Developed machine-learning software and backend capabilities supporting model development, experimentation, evaluation, and scalable production workflows. Built data processing and ML pipeline components for training and inference using strong software engineering practices such as modular design, testing, version control, and API-driven services. Collaborated with data scientists and engineers to translate modeling requirements into reliable product features and production-ready ML infrastructure.

Associate Software Engineer – Backend at Spiceworks

March 1, 2012 - June 30, 2014

Built and maintained backend services and data-driven application components, developing APIs and server-side functionality and collaborating across engineering teams to deliver reliable software. Troubleshot production issues and applied disciplined engineering practices including testing, debugging, code review, source control, and iterative delivery.