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sameed_khan1801

Sameed Khan

@sameed_khan1801

Solution Consultant

Australia
English
About me
Hi, I'm Khan, a Tender Strategist and AI Automation Consultant based in Melbourne, Australia, with 5+ years of experience helping enterprise businesses win contracts and eliminate manual workflows. I've worked across some of Australia's largest organisations, including Telstra, Optus, and major water utilities and as well as part of an IBM Platinum Partner. When you work with me, you get one person who owns your outcome end to end by identify the winning angle, write a response that scores against the evaluation criteria, and deliver something that gives you a genuine competitive edge.... Read more

Skills

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sameed_khan1801
Sameed Khan
Offline • 
Average response time: 1 hour

See my services

Brand Voice & Tone
I will do ai automation, workflows, government tenders proposals

Work experience

IBM

Solution Consultant

IBM • Full-time

Jan 2022 - Present4 yrs 6 mos

Designed and delivered AI-powered agent solutions to automate business processes, improve decision-making, and enhance customer and operational outcomes across enterprise environments. Led end-to-end solutioning activities including requirements discovery, use-case definition, AI architecture design, and deployment of conversational and task-based AI agents using LLMs, APIs, and workflow automation frameworks. Acted as a trusted technical advisor to business and technical stakeholders, translating complex business problems into scalable, secure, and value-driven AI solutions with clear ROI. Supported presales engagements by building demos, proof-of-concepts, and technical solution proposals, collaborating closely with sales, product, and engineering teams to drive deal success. Developed AI agents integrated with enterprise platforms such as CRM, ERP, ITSM, and EAM systems to enable knowledge retrieval, incident triage, data validation, and automated reporting. Delivered customer-facing demonstrations and technical walkthroughs, clearly articulating AI capabilities, limitations, and governance considerations to both technical and non-technical audiences. Implemented responsible AI practices including prompt engineering, model evaluation, data security, monitoring, and performance optimization to ensure reliable and compliant solutions. Supported post-implementation activities by refining agent behavior based on user feedback, improving solution performance, and enabling adoption through documentation and knowledge transfer. Leveraged experience in asset-intensive and infrastructure-driven industries, including rail and utilities, to design AI solutions aligned with real-world operational workflows and constraints.