
Muhammad Umer
AI Solution and Success Manager
Skills

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Portfolio
Werkervaring
Artificial Automation Business Solutions
AI Solutions and Client Sucess Manager • Fulltime
Apr 2025 - Present • 1 yr 1 mo
As an AI Delivery & Strategy Consultant, I work closely with clients to translate business goals into actionable AI solutions. I lead requirement gathering, assess feasibility, and design implementation strategies for Machine Learning, Generative AI, automation, and intelligent workflow systems. I collaborate with domain experts, engineering teams, and stakeholders to ensure solutions are scalable, aligned with business needs, and successfully delivered.
Senior AI/ML Engieer
icode.ai • Fulltime
Jul 2024 - Apr 2025 • 9 mos
As an AI Engineer at ICOD, I enhance workflows and lead initiatives to improve processes using advanced metrics, multi-agent systems, agentic AI architectures, Mixture of Experts models, and sophisticated context-layer strategies. I focus on fine-tuning, user experience optimization, and the design and implementation of no-code solutions to make development more accessible, supporting ICOD’s vision of democratizing technology.
Lead Software Engineer (AI/ML)
Big Entities • Fulltime
May 2023 - Jul 2024 • 1 yr 2 mos
I design and develop advanced AI agents, building autonomous and collaborative multi-agent systems capable of executing complex tasks. I lead the architecture and implementation of agentic RAG pipelines to deliver context-aware and intelligent responses, and develop enterprise-grade conversational AI solutions with multimodal outputs such as text and images. My work includes implementing AI-driven automation workflows to improve operational efficiency, leading projects end-to-end from ideation to deployment, and collaborating closely with DevOps, backend, and frontend teams to deliver scalable AI systems. I also engineer robust backend infrastructure and APIs, monitor and optimize AI performance using feedback loops and telemetry, work cross-functionally with domain experts, and maintain clear, well-structured documentation to support knowledge sharing and long-term system reliability.