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Typically a social media app for book lovers
The Library of Pals Share books with friends, discover new reads, and build your personal library in a decentralized community of book lovers.
- Full Stack Developer
Full-Stack Engineer AI Agent Developer I'm a Software Engineer with proven expertise in building high-scale distributed systems that process 50M+ daily events and 2TB+ data at Wingify.
Full-Stack Engineer | Distributed Systems Expert | AI Agent Developer
I’m a Software Engineer with proven expertise in building high-scale distributed systems that process 50M+ daily events and 2TB+ data at Wingify. I specialize in full-stack development (React, Node.js, GraphQL), backend architecture (Spring Boot, Kafka, ClickHouse), and AI agent development. My track record includes reducing query times by 67%, achieving 99.99% system accuracy, and cutting operational costs by 40% through strategic architectural decisions.
I bring deep expertise in modern tech stacks (Go, Java, Python, JavaScript), cloud platforms (GCP, AWS), and databases (PostgreSQL, Redis, Cassandra). Whether you need a complex distributed system, responsive web application, or intelligent AI automation, I deliver production-ready solutions that scale. With experience serving millions of users and reducing support tickets by 35%, I focus on building robust systems that drive real business impact.
Let’s transform your technical challenges into competitive advantages.
Link : https://www.twine.net/signin
Typically a social media app for book lovers
The Library of Pals Share books with friends, discover new reads, and build your personal library in a decentralized community of book lovers.
Link :https://www.twine.net/signin
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Led development of a real-time analytics system processing 50M+ daily events; optimized ClickHouse queries using window functions, CTEs, and indexing, reducing recording time from 300ms to 100ms. Built an interconnect layer unifying three APIs into one endpoint and implemented 35-step window funnel analysis. Moved BigQuery workloads to ClickHouse. Designed a deduplication pipeline handling 2TB+ daily data with 99.99% accuracy and 40% cost reduction. Improved reliability and reduced customer issues by 25% and tickets by 35% through cross-functional collaboration. Tuned PostgreSQL and Kafka deployments across five regions, boosting throughput by 40% and cutting latency by 60%. Implemented GraphQL and Cassandra-backed APIs and built a 100K+ daily sessions tracker with 99.9% reliability. Enhanced mobile insights for 2M+ monthly users with 30% accuracy gain and 25% faster processing.
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