Muaviya Rasheed
@muaviyarasheed
I build AI-powered backend systems, LLM workflows, and reliable cloud-native services.
What I'm looking for
At Zixel Technologies, I build Go-based monitoring and alerting for Kubernetes microservices and an AI diagnostic service using DeepSeek v4 for automated root-cause analysis. I automate incident workflows from detection through diagnosis, alert routing, and cross-platform synchronization.
Previously at CareCloud MTBC, I built and deployed LLM-based healthcare workflows with FastAPI, RAG, and Google Vertex AI, including retrieval pipelines for context-aware clinical note generation. I've also developed machine learning and conversational AI applications at JAV Systems, with hands-on work across Python, Docker, Azure, Kubernetes, REST APIs, and production reliability.
Experience
Work history, roles, and key accomplishments
Software Engineer
Zixel Technologies
Apr 2026 - Present (5 months)
Built and maintained a Go based monitoring and alerting system for Kubernetes based microservices. Developed an AI diagnostic service using DeepSeek v4 and prompt engineering for automated root cause analysis.
Associate AI Engineer
CareCloud MTBC
Apr 2025 - Apr 2026 (1 year)
Built and deployed LLM-based healthcare workflows using FastAPI, RAG, and Google Vertex AI. Migrated backend services from Django to FastAPI, improving API performance and deployment efficiency.
Software Engineer – AI/ML
JAV Systems
Apr 2024 - Mar 2025 (11 months)
Developed machine learning applications for predictive analytics and conversational AI using Python. Built and integrated backend APIs to support AI-powered web applications.
Education
Degrees, certifications, and relevant coursework
Air University
Bachelor of Science, Software Engineering
2021 - 2025
Bachelor of Science in Software Engineering from Air University, Islamabad, from September 2021 to July 2025.
Availability
Location
Authorized to work in
Portfolio
github.com/muaviya7Job categories
Skills
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