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Hassan SaleemHS
Open to opportunities

Hassan Saleem

@hassanjsaleem

IT Support & customer support specialist troubleshooting VPN and networks to deliver SLA-driven solutions.

Pakistan
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What I'm looking for

I’m looking for a remote or customer-facing IT support role where I can troubleshoot VPN/network/app issues, resolve tickets quickly, and consistently meet SLA/AHT/quality. I value strong documentation, clear ownership, and collaborative teams.

I’m an IT Support and Customer Support Specialist with 5+ years of experience across BPO and SaaS environments. I troubleshoot VPN, network, and application issues while meeting SLA, AHT, and quality benchmarks, always keeping the customer experience front and center.

In my current role as a Technical Support Representative at Astrill VPN (Veloxee Corp AG), I provide support via chat, email, and ticketing systems. I troubleshoot VPN connectivity across Windows, macOS, mobile devices, and routers, document solutions, test new releases, and consistently hit SLA and quality targets.

Previously, as a Customer Support Representative at Mindbridge BPO (Uber Eats), I managed high-volume inbound queries and investigated cases to resolution. I processed refunds using Bliss (Uber) while meeting strict AHT, SLA, and quality standards, and supported onboarding new hires and improvements to documentation.

Before stepping fully into support, I completed my BS (Hons) in Computer Science at GIFT University, with a final-year project on vehicle classification and license plate recognition (VCLPRS). That engineering mindset strengthens how I approach problems—structured diagnosis, clear documentation, and reliable outcomes through incident management and cross-functional collaboration.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

GIFT University logoGU

GIFT University

Bachelor of Science (Honours), Computer Science

Completed a BS (Hons) Computer Science program. Final year project developed a Vehicle Classification and License Plate Recognition System using image processing techniques.

Tech stack

Software and tools used professionally

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