Muhammad Rameez
@muhammadrameez
Lead AI/ML Architect specializing in Generative AI, LLMs, RAG, and agentic systems for production-ready enterprise platforms.
What I'm looking for
I’m a Lead AI/ML Architect with 9+ years of experience designing, building, and scaling machine learning and Generative AI systems for enterprise organizations. I specialize in end-to-end delivery—from foundational ML pipelines to advanced Large Language Model (LLM) applications, RAG, and autonomous multi-agent systems.
I combine deep expertise in MLOps, LLMOps, and cloud-native architecture with practical leadership in AI governance, stakeholder management, and team mentorship. I’m known for turning complex business challenges into automated, production-ready AI platforms across fintech, healthcare, insurance, and other technology-driven industries.
In my recent role, I architect enterprise-grade Generative AI solutions using LLMs, RAG, and orchestration frameworks like LangGraph, CrewAI, and Model Context Protocol (MCP). I establish governance, security, observability, and evaluation practices to ensure responsible and reliable deployment, while guiding teams through building, deploying, and optimizing AI systems.
Experience
Work history, roles, and key accomplishments
Lead AI/ML Engineer
P2H
May 2022 - Present (4 years 1 month)
Architect and deliver enterprise-grade generative AI solutions using LLMs, RAG, and agentic workflows to turn business needs into scalable AI products. Establish governance, security, observability, and evaluation frameworks while leading MLOps/LLMOps for production deployments.
Senior Machine Learning Engineer
Arhamsoft (Pvt) Ltd
Jun 2019 - Apr 2022 (2 years 10 months)
Developed and deployed machine learning solutions using Python, TensorFlow, PyTorch, and scikit-learn for predictive modeling and deep learning. Built end-to-end ML pipelines and integrated trained ML components into backend services and APIs to improve automation and operational efficiency.
Software Engineer (Machine Learning)
Netsol Technologies Inc
Oct 2016 - May 2019 (2 years 7 months)
Implemented data processing pipelines and model training workflows to support machine learning initiatives. Built and validated early-stage predictive models, contributed to NLP and computer vision proof-of-concepts, and supported integration of ML components into broader software applications.
Education
Degrees, certifications, and relevant coursework
Lahore University of Management Sciences (LUMS)
Master of Science
Completed a Master of Science degree at Lahore University of Management Sciences (LUMS).
Tech stack
Software and tools used professionally
Microsoft Azure
Google Cloud Platform
Kubernetes
Docker Cloud
Cloudflare
Gmail
JavaScript
Python
Azure Machine Learning
TensorFlow
PyTorch
scikit-learn
Gemini
Docker
Amazon Web Services (AWS)
SQL
AutoGen
CrewAI
vLLM
OpenAI API
Gantry (MLOps Observability)
Bash
Agentic
Enhance
LangGraph
Model Context Protocol (MCP)
Remote
Safe
Availability
Location
Authorized to work in
Job categories
Skills
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