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Sanskruti Raut
Mid-level AI/ML & Full-Stack Engineer specializing in LLM agents and medical RAG systems
Remote, USAFull Stack AI Engineer4 years experienceMid-LevelArtificial IntelligenceHealthcareHealthcare IT
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About
Full-stack engineer at an early-stage startup building an agentic AI application for enterprise systems, combining customer-facing Next.js/React UI work (30% faster load times) with backend/workflow orchestration using FastAPI + n8n, Redis, and RabbitMQ. Previously at Deloitte USI, built BDD Selenium/Java automation and managed 200+ defects end-to-end using JIRA/JAMA to support on-time production releases.
Experience
Full Stack AI EngineerSupervea
AI ResearcherLee Lab, Keck School of Medicine, USC
AI Engineer InternViyaMD
Machine Learning ResearcherBiomedical Imaging Group, USC
Software EngineerDeloitte USI
Education
University of Southern Californiamaster, Electrical Engineering (Machine Learning and Data Science) (2025)
Maharashtra Institute of Technologybachelor, Electronics and Communication Engineering (2021)
Key Strengths
- Built and maintained BDD automation test suites (Selenium + Java) for large-scale web app
- Defect triage and lifecycle management at scale (200+ defects) with clear prioritization and environment-specific reporting
- Cross-functional collaboration with dev/devops/BA/PM to ship releases without delays
- Full-stack delivery at early-stage startup: improved UI load speed by 30% (Next.js/React/Tailwind/shadcn)
- Designed and implemented AI automation/orchestration workflows in n8n integrated with FastAPI endpoints
- Scalability patterns: Redis caching + RabbitMQ queues; workflow tagging for fast retrieval
- Designed production FastAPI backend with JWT + RBAC, versioned APIs, layered exceptions, and pytest coverage
- Designed multi-tenant PostgreSQL schema with normalized collaboration entities, async job/run tracking, and JSONB metadata
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