Akmam bin Mashkoor
Lead Consultant - Ai Automation @Streebo
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WORK HISTORY
Lead Consultant - Ai Automation @Streebo
Houston, TX, US
Architected LLM-driven agent platforms with goal decomposition, multi-agent coordination, Plan-Act-Observe-Replan loops, and failure recovery. Built agent coordination engines where LLMs act as a cognitive control plane, issuing deterministic execution contracts across Browser, RPA, File, Code, and Shell/Grid agents:Owned operator frameworks for web and Windows automation using Selenium Grid, Selenoid, and Power Automate Desktop. Designed micro-operator architectures (CLICK, CLICK_AND_EXTRACT, DOM and iframe capture) with secure session handling for CAPTCHA and MFA workflows:Designed high-concurrency automation infrastructure with distributed execution and cron-based scheduling. Reduced latency through token caching, API optimization, and batch execution, and led R&D on alternative execution engines and on-prem automation for regulated environments:Established end-to-end observability using session video streaming, operator logs, and conversation-to-action traceability. Integrated analytics dashboards mapping user intent → LLM reasoning → operator actions → execution artifacts:Led web crawling and data ingestion pipelines for cognitive search and agentic-RAG systems, enabling reliable natural-language-to-action flows (NL → JQL → execution):Redefined QA as AI system validation by verifying agent behavior, failure handling, and retries. Acted as technical owner for enterprise AI automation deliveries, supporting presales demos, POCs, and production rollouts.
EDUCATION
Graphic Era Deemed to be University
Bachelors in Computer Application, Mathematics and Computer Science
ABOUT AKMAM BIN MASHKOOR
A driven Automation Lead with expertise in Agentic and Generative AI, specialising in building custom guided AI-driven quality engineering systems at scale. Experienced in designing and owning LLM-integrated test agents, distributed automation frameworks using Selenium Grid and RPA, and high-throughput parallel execution platforms.Led end-to-end chatbot quality initiatives across NLP platforms, focusing on semantic accuracy and AI metrics, response validation, and reliability.Built production-grade web crawlers and data ingestion pipelines to support AI model training and evaluation.Recognised for strong technical leadership, cross-functional collaboration, and delivering resilient, high-impact solutions in fast-paced product environments.
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