Backend Engineer architecting event-driven systems in Delhi/NCR, India. 4+ years building real-time data pipelines, compliance infrastructure, and Kubernetes-native platforms.
Callsign: V1SH. Role: Backend Engineer · Security Systems. Location: Delhi/NCR. Tier: Apex · SDE-II.
Architecting event-driven systems that don't blink under pressure. From real-time pipelines to compliance infrastructure — building backend that holds the line.
Designing CERT-IN compliance infrastructure from scratch. Built the full event pipeline: Gateway → Collector → Pub/Sub → Normaliser → Compliance service. Multi-tenant, GCP-native.
Technologies: Java 21, Spring Boot 3, GCP, Pub/Sub, ClickHouse, Kafka, PostgreSQL, Redis
Impact: 12-week MVP · CERT-IN module · Multi-tenant architecture
Migrated Neo4j to PostgreSQL/ClickHouse, eliminating $80k/yr in licensing. Replaced batch with Kafka real-time ingestion. Built KEDA autoscaling on Kubernetes.
Technologies: Kafka, Neo4j, Redis, KEDA, Kubernetes, Go
Impact: −95% latency · −$80k/yr · 10M+ events/day
Academic XP: 91%
Coursework: Distributed Systems, Operating Systems, DBMS, Algorithms, Networks, System Design
Event ingestion gateway — schema-validated multi-tenant pipeline. Designed and shipped the event collector with Pub/Sub fan-out, replay, and audit trail. Handles 10M+ events/day across tenants.
Technologies: Java, Kafka, PostgreSQL. Status: Shipped.
Kubernetes autoscaling fabric — KEDA-driven, GCP-native. Built event-driven scaling for the platform: KEDA + Pub/Sub triggers, custom metrics adapter, and zero-downtime rollouts.
Technologies: GCP, Kubernetes, KEDA, Terraform. Status: WIP.
Compliance ops dashboard — alerts, incident routing, audit logs. React + Spring Boot console for SOC operators. Realtime via Redis pub/sub, role-based access, regulatory PDF export.
Technologies: React, Spring Boot, Redis. Status: Shipped.
Immutable 5-year log archive — SHA-256 tamper-evident chain. GCS Coldline WORM storage with hash-chained manifests, replay tooling, and regulator-friendly export workflows.
Technologies: GCS, Java, SHA-256. Status: WIP.
OSS contribution — async tracing helper for Kafka consumers. Patched correlation-id propagation for batch consumers. Merged upstream; used internally across two production services.
Technologies: Java, Kafka, OpenTelemetry. Status: Shipped.
Personal experiment — slow-burn note system with semantic search. SQLite + embedding-based retrieval. Vim bindings, markdown-first.
Technologies: Go, SQLite, Embeddings. Status: Archived.
| Rank | Achievement | Impact | Scale | Stack | Status |
|---|---|---|---|---|---|
| MVP | Kafka Real-time Pipeline | −95% latency | 10M+ per day | Kafka · ClickHouse | Shipped |
| 02 | Neo4j to PostgreSQL/ClickHouse Migration | −$80k per year | Full production | PostgreSQL · ClickHouse | Shipped |
| 03 | KEDA Autoscaling on Kubernetes | −60% cost | Cluster-wide | Kubernetes · KEDA | Shipped |
| 04 | Redis Caching Layer | −70% DB load | Analytics | Redis | Shipped |
| 05 | CERT-IN Compliance Module | MVP scope | Multi-tenant | GCP · Java | Live |