Anupam Ojha

Vavetek.ai

Sep 2025 - Present • Current

Architected and optimized a high-performance Spring Boot backend, reducing API latency from 800ms to 20ms (97.5% improvement) using R-tree spatial indexing and parallel processing. Scaled to handle 40x higher request throughput, improving system accuracy by 10% and driving 5% revenue growth. Engineered a distributed, event-driven system to process average 1GB+ payloads per request using Apache Kafka, OctTree-based data partitioning, and cloud stream processing pipelines with Cloudflare R2. Ensured fault tolerance with idempotent consumers, retry, with Dead Letter Queues while maintaining low memory footprint (200MB/node). Controller Designed and implemented a scalable authentication and licensing infrastructure supporting online/offline activation. Enforced concurrent device limits via FIFO-based session eviction, preventing misuse and ensuring license compliance and revenue protection. Developed a secure geo-aware pricing and fraud detection system with VPN detection, usage analytics, and rate-limiting mechanisms. Prevented OTP abuse through request sequencing, timestamp validation, and hashing, and safeguarded IP via code obfuscation.

Hugohub

Jan 2025 - Jun 2025 • 0.4 yrs

Designed a configurable multi-tenant onboarding system for banking clients using Spring Boot enabling dynamic KYC workflows with tenant-specific business rules and long-running state management; that also supported concurrent client deployments with YAML-based configurations. Built a scalable asynchronous pdf report generation pipeline for financial data (spend analysis, asset holdings, Passbook) supporting both scheduled and on-demand reports with fanout model. With chunk and cursor based processing using SQS, S3, OpenPDF to handle large datasets reliably, without duplication or data loss. Built a recurring payments backend system with mandate lifecycle APIs and a scheduler-based execution engine, enabling validated pull-based debits with reliable and consistent processing.