Minhal Ali
Support Engineer, Alexa | Generative AI, MLOps & Language Data Operations | 3x AWS Certified | Cloud & DevOps Engineer | SysOps, AppOps, Linux Systems | Infrastructure & Cloud Solutions | Co-Founder EngineARC ☁
- Role
- Ai Support Engineer, Alexa Language and Data Operations at Amazon
- Location
- London, GB
- LinkedIn followers
- 500 followers
About Minhal Ali
Proven Cloud services expert with comprehensive customer relationship building, client development, management, and technology consulting for AWS clients. Strong client service orientation with success cultivating relationships and providing advisory whether it be multi-million dollar agencies, SMBs, or Individuals. Technical expertise presenting to solve complex queries and working under high-pressure environments to provide maintenance for over 60k+ active cloud servers and bugs and fixes for over 35k+ live hosted applications. Making technicalities easier with professional English by writing a knowledge base and technical guides to make the platform easy to use for end users. Powerful skill set includes: Linux command line – Bash Scripting - SaltStack - Server administrator – Communication Skills – Web development – WordPress Expert – Magento Expert – Cloud computing – Languages C#, PHP, HTML, CSS – Database Development – MySql, MariaDB – DNS.
Experience
Ai Support Engineer, Alexa Language and Data Operations
Nov 2025 — Present · Cambridge, GB
Started as AI Support Engineer, Alexa Language and Data Operations. I work extensively with LLM-driven systems to triage complex defects, analyze customer feedback, and investigate model behavior across conversational and audio-based interactions. Apply prompt engineering techniques and structured evaluation methods to understand response quality, failure modes, and regression patterns in production LLM workflows.• Defect triage and root-cause analysis for LLM-based conversational systems (Alexa+)• Prompt engineering, response evaluation, and regression analysis for Generative AI models• Development of AWS-based tools using Lambda, Bedrock, and foundation models (Claude)• Application of agentic AI frameworks to automate analysis, coding, and investigation workflows• Data-driven reporting and documentation to support model iteration and operational scalability• Continuous process improvement to reduce handling time and improve customer-facing outcomesTools & Technologies• Generative AI & ML: Large Language Models (LLMs), Prompt Engineering, Model Evaluation, Regression Analysis• AWS & Serverless: AWS Lambda, API Gateway, Custom Authorizers, CloudFormation, Amazon Bedrock• Foundation Models: Anthropic Claude (via Bedrock)• Engineering & Automation: Serverless tooling, scripting, agentic AI frameworks• Analysis: Customer feedback analysis, defect triage, audio-based evaluation
Education
Virtual University of Pakistan
Diploma of Education, Information Technology
NED University of Engineering and Technology
Bachelor of Engineering - BE, Computer Technology/Computer Systems Technology
2015 — 2018
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