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Muhammad Haaris NayyarMN
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Muhammad Haaris Nayyar

@muhammadhaarisnayyar

I lead technical incident investigations for AI platforms, APIs, mobile apps, and production systems.

Pakistan
Message

At Motive, I lead a three-member technical support team investigating complex escalations across the AI Dashcam ecosystem, from firmware and connectivity to backend services and missing AI events. I use Datadog, SQL, REST APIs, Linux, AWS, Docker, and telemetry to deliver Engineering-ready root-cause analysis and improved investigation throughput by approximately 2–3x.

Previously at Careem, Afiniti, Powersoft 19, and Mindbridge supporting Uber, I investigated ride-hailing, payments, telephony, grid-monitoring, and customer-facing production incidents. I turn recurring issues into reproducible QA scenarios, automation, runbooks, and structured post-incident validation using AI-assisted engineering workflows, mobile debugging, and distributed tracing.

Experience

Work history, roles, and key accomplishments

Motive logoMO
Current

Lead Technical Product Support Engineer

Oct 2025 - Present (11 months)

Lead a 3-member technical support team handling complex escalations across Motive's AI Dashcam ecosystem, owning incident triage, SLA-driven investigation, reproduction strategy, and Engineering-ready escalation. Improved investigation throughput by approximately 2-3x for recurring and complex escalations through AI-assisted analysis and reusable workflows.

Education

Degrees, certifications, and relevant coursework

National University of Computer and Emerging Sciences (FAST-NUCES) logoNF

National University of Computer and Emerging Sciences (FAST-NUCES)

Bachelor of Science, Electrical Engineering

2014 - 2018

Grade: 3.47/4.00

Activities and societies: Dean's List – 1st, 7th, and 8th Semesters

Pursued a Bachelor of Science in Electrical Engineering with a focus on Electronics, achieving a CGPA of 3.47/4.00 and earning the Gold Medalist distinction.

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