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Richard Ammah

@richardammah

Experienced IT support professional with a passion for customer service and learning new technology.

United States
Message

I am an experienced IT support professional with a strong background in customer service, quality assurance, and ticketing systems. I am skilled at collaborating with IT teams to identify solutions for technical issues and have a proven track record of providing excellent support to clients.

Throughout my career, I have gained expertise in remote connection and virtual machine management, implementing and managing directory services such as Active Directory and Office 365, programming LLMs, and cloud management. I am also proficient in systems administration, networking, and server management.

In my previous role as a Customer Services Representative and Pharmacy Tech at Giant, I was responsible for logging new customer information into the database, handling incoming calls and inquiries, and performing data entry for incoming prescriptions. I also troubleshooted computer terminal issues and assigned permissions to cashiers. Additionally, I have experience in data annotation and training large language models, where I detected vulnerabilities in model responses and scanned for harmful or inaccurate answers. I am proficient in troubleshooting with several programming languages.

As a Junior System Administrator at MCI/EDS, I converted system data from DVR to the office database, installed and serviced Windows computers, provided PC and mobile support to resolve client issues, and troubleshooted high-speed printers used for billing and mailing invoices.

Experience

MC

Junior System Administrator

MCI/EDS

May 2005 - Jan 2012 (6 years 8 months)

Converting system data from DVR to office database, installing, servicing and upgrading company's Windows computers, providing PC and mobile support to resolve client issues, troubleshooting high-speed printers used for billing and mailing invoices.

UN

Data Annotation.tech/Data training

Unknown

Dec 2022 - Jan 2023 (1 month)

Training large language models, detecting vulnerabilities in model responses, scanning for harmful or inaccurate answers, troubleshooting with several programming languages.

Tech stack

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