JOYNISSY MADDURI
Professional Summary
Results-driven AI Engineer with over 3 years of experience in building production-grade LLM infrastructure and AI-native developer platforms. Proficient in Python and AWS with a focus on deploying scalable AI systems and optimizing workflows.
Technical Skills
Work Experience
- Built end-to-end AI-assisted developer workflows, reducing manual review times by 50%.
- Architected multi-agent orchestration pipelines, improving collaboration speed by 40%.
- Designed architectural guardrails, increasing code quality adherence by 35%.
- Integrated APIs with structured outputs, enhancing system reliability and safety.
- Built CI/CD workflows in AWS, reducing deployment processing time by 35%.
- Developed anomaly detection workflows, decreasing mean-time-to-debug by 40%.
- Optimized real-time inference endpoints, achieving sub-100ms response times.
- Delivered defined reusable architecture patterns for consistent deployment across teams.
- Developed backend APIs, supporting workflows for over 1,000 users.
- Led architecture refactoring initiatives, improving response efficiency by 25%.
- Delivered strengthened production reliability, achieving 99.9% uptime.
- Delivered collaborated cross-functionally, delivering scalable systems under tight deadlines.
Projects
- Architected an AI platform that automated engineering workflows, saving 30% in deployment times.
- Implemented AI-powered CI/CD integrated with real-time observability, enhancing deployment accuracy.
- Established version-controlled artifacts, improving codebase reasoning and modularity.
- Architected a centralized context layer improving retrieval relevance by 30%.
- Designed templates enabling rapid iteration for retrieval and generation workflows.
- Integrated API workflows for seamless developer experience and output generation.
Education
Certifications
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