Designed and implemented a scalable monitoring dashboard integrating tools like Azure DevOps Services and Jenkins, boosting team performance visibility by 70%, while simultaneously enhancing system reliability through an AI-powered anomaly detection system for workflow logs.

Engineered distributed, automated data pipelines from over 5+ providers using React, PostgreSQL, Docker, Node.js, and REST APIs, supporting predictive analytics, real-time log analysis, and root cause detection with Elasticsearch for high-speed querying.

Led and mentored a cross-disciplinary team of 4 interns, driving innovative design strategies and successfully deploying scalable solutions, improving operational efficiency by 60% and ensuring robust failure detection with NLP-powered models leveraging LSTMs and Transformers.

Led the development of high-scale applications, including a multi-tenant platform for 1M+ users, utilizing Next.js, Prisma, AWS, and NestJS. Directed a team to build an innovative report generation system with LLMs and worker threads, enhancing efficiency and scalability.

Engineered a scheduling infrastructure akin to Calendly and developed a UI component library on AWS S3, CloudFront, and Cloudflare, boosting booking efficiencies and frontend development speed by 83%.

Orchestrated custom domain integration for 200+ partner's multi-tenant applications in a Partners App, streamlining processes and enhancing user experience.