Abdul Wasay
js, Python, TypeScript, and React.
About
Hi, I’m Abdul Wasay, a Senior AI-Native Full Stack Engineer with 7+ years of experience delivering scalable, production-grade systems across Node.js, Python, TypeScript, and React. I specialize in building RESTful APIs, microservices, and cloud-native architectures on AWS, and I’ve led AI-enabled workflows using LangGraph, CrewAI, and the OpenAI SDK to create proactive, data-driven solutions.
I’ve delivered measurable business impact, including 13% revenue growth, a 98% reduction in onboarding time, and data quality improvements from 30% to 100% across large enterprise fleets. I enjoy mentoring teammates, driving CI/CD improvements, and collaborating with product and ops to turn complex problems into reliable, observable systems. Open to remote opportunities.
- 9 years' experience
- Joined May 2026
Skills· 15
Languages
- EnglishFluent
Industry experience
- Healthcare
- Software & Internet
More experts in Sacramento, United States
Work experience
Led development of a high-availability Content API for fleet pricing across 100,000+ vehicles; redesigned data ingestion pipeline reducing onboarding time from 7 days to under 1 hour (98% reduction); implemented event-driven change detection with AWS SQS/SNS/Lambda to enforce same-day onboarding SLAs; developed Data Enrichment Service increasing fleet data completeness from 30% to 100%; built AI-native workflows using LangGraph and OpenAI SDK; created Angular dashboards used by 200+ stakeholders; mentored 3 junior engineers; ensured PCI DSS-compliant data workflows and 24/7 on-call support.
Built Python-based backend microservices to aggregate and transform clinical data from 12+ systems, processing 8M+ patient records annually with 99.8% uptime; designed Django REST APIs and PostgreSQL schemas for analytics dashboards used by 300+ clinical staff across 20+ hospital clients; HIPAA-compliant data workflows, RBAC, and audit logging for PHI across 50,000+ active patient records; delivered internal self-service reporting tool enabling 150+ non-technical staff to configure/export dashboards; achieved 99.8% uptime through proactive monitoring and on-call incident response.
Supported e-commerce/internal tooling platform with 12,000+ monthly orders; Frontend contributed 15+ reusable components; improved page load times by 35% via code-splitting and lazy loading; maintained platform serving 300,000+ MAU with 99.5% uptime; collaborated to improve debugging and logging, reducing critical production bug resolution time from 3 days to under 24 hours.
Education
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