• Building AI-driven hiring SDK for fully automated interviews (prescreening → evaluation). • Engineering data ingestion scripts integrating multiple hiring platforms into a standardized pipeline. • Automating candidate ranking,screening,analytics with realtime scripts, cutting manual effort significantly. • Refactored 15K+ lines of legacy code, improving scalability and reliability. • Designed AI/LLM automation pipelines leveraging n8n and LangChain for intelligent orchestration.

Worked on a high-fidelity Java-based layout engine that automated the transformation of 1,000+ Figma Auto Layout nodes into responsive CSS, boosting design-to-code efficiency by 40%. Engineered robust backend algorithms to convert Figma constraints (padding, gap, flex-direction) into accurate CSS flexbox with 95% layout fidelity. Resolved Figma plugin styling inconsistencies to ensure clean, production-ready CSS output. Reduced manual front-end layout work by 60% and cut layout processing time by 30% via optimized recursive node traversal. Containerized backend modules, explored CI/CD pipelines, and handson experience on scalable microservices using AWS as part of full DevOps integration.