Sharik Hussain
@sharikhussain
I resolve customer and cloud support issues through structured troubleshooting and quality-focused operations.
IndiaWhat I'm looking for
I've supported customer operations, cloud environments, and AI quality workflows at Invisible Technologies, Datamark, KodeKloud, and Deloitte India.
At Invisible Technologies, I evaluate AI-generated responses for accuracy, consistency, and instruction adherence while meeting quality targets in high-volume QA workflows. At Datamark, I delivered multilingual support in English, Hindi, and Urdu, resolving issues while maintaining confidentiality and service quality.
I've diagnosed production issues in Linux and AWS environments, documented resolutions, and created operational reports to improve issue-resolution efficiency. I bring structured root-cause analysis, customer communication, and cross-functional collaboration to fast-paced remote teams.
Experience
Work history, roles, and key accomplishments
LLM and QA Specialist
Invisible Technologies
Jul 2025 - Present (1 year 1 month)
Evaluated AI generated responses for accuracy, consistency, and instruction adherence. Proficient in AI platforms and LLMs for workflow automation, productivity, and model evaluation.
Customer Support Specialist
Datamark
Mar 2025 - May 2025 (2 months)
Delivered multilingual customer support across English, Hindi, and Urdu. Resolved customer issues while maintaining confidentiality and service quality.
System Administrator
KodeKloud
Jan 2024 - Dec 2024 (11 months)
Diagnosed production issues using structured troubleshooting and root-cause analysis. Supported Linux and AWS environments while documenting resolutions.
Assisted enterprise cloud readiness initiatives and technical consulting engagements. Prepared documentation and collaborated with technical and business stakeholders.
Education
Degrees, certifications, and relevant coursework
Model Institute of Engineering and Technology
Bachelor of Engineering, Computer Science
2019 - 2023
Grade: 3.1/4.0
Pursued a Bachelor of Engineering in Computer Science, achieving a GPA of 3.1/4.0.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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