Designing Distributed Architectures, PostgreSQL HA & High-Scale Infrastructure
AWS Certified Solutions Architect and Systems Reliability Lead based in Kathmandu, Nepal. Specializing in high-availability database clusters (Patroni/PostgreSQL), cloud-native microservices, automated ETL pipelines, and resilient distributed architectures.
Engineering fault-tolerant cloud infrastructures, mission-critical PostgreSQL databases, and high-throughput data distribution engines.
Architecting fault-tolerant PostgreSQL clusters with automated master failover, zero-data-loss WAL archiving, and connection pool optimization.
Designing containerized microservice topologies with automated GitOps deployment, gRPC inter-service communication, and infrastructure-as-code.
Engineering real-time data ingestion pipelines, vector feature extraction engines, and dynamic multi-bitrate HLS media streaming servers.
Implementing end-to-end telemetry pipelines with Prometheus metrics, OpenTelemetry distributed tracing, Grafana alerts, and incident post-mortems.
Officially verified cloud architecture credentials and enterprise engineering accreditations.
Issuer: Amazon Web Services Training and Certification
Earners of this certification have a comprehensive understanding of AWS services and technologies. Demonstrated ability to strategically design secure, scalable, resilient, efficient, and fault-tolerant distributed systems based on Well-Architected principles.
Production system blueprints, high-availability database clusters, and open-source infrastructure tools.
Enterprise automation blueprint for PostgreSQL HA clustering, Patroni consensus failover, pgBackRest S3 backups, and Grafana telemetry.
High-performance developer library delivering normalized geographical metadata for 77 districts, 7 provinces, and municipal divisions of Nepal.
High-performance HTTP Live Streaming (HLS) audio server leveraging Node.js streams and FFmpeg dynamic chunk transcoding.
Comprehensive architectural tutorial repository for low-level memory allocation, pointer arithmetic, linked data structures, and POSIX system calls.
Infrastructure-as-Code repository configuring Kubernetes cluster telemetry with Helm, ArgoCD, Prometheus, and OpenTelemetry.
Building reliable backend architectures and sharing engineering insights at global tech conferences.
Leading cloud infrastructure design, high-availability database cluster operations, microservices architecture, and SRE incident governance.
Designed scalable data processing pipelines, backend microservices for AI platforms, and analytical data stores.
Delivered technical keynote on scaling PostgreSQL clusters, connection pool tuning, and failover automation in production.
Spoke on modern web architecture, server-side caching strategies, and open-source software engineering.
Domain readiness, system scopes, and infrastructure tech stack governance verified in production environments.
Fault-tolerant data architecture, high-availability clustering, and performance tuning.
Microservices orchestration, containerization, and infrastructure-as-code.
End-to-end monitoring, alerting, tracing, and incident post-mortem leadership.
Data processing engines, package authoring, and machine learning infrastructure.
Author of open-source packages and developer tutorials powering applications across Nepal and globally.
A lightweight, zero-dependency Node.js/TypeScript metadata library providing complete administrative divisions of Nepal (77 districts, 7 provinces, zones) with dual English & Devanagari language support.
import { getDistricts, getProvincesByLang } from 'info-nepal';
// Fetch all 77 districts with English and Devanagari script
const districts = getDistricts();
console.log(districts[0]);
// Output: { id: 1, name: "Kathmandu", devanagari: "काठमाडौँ", province: "Bagmati" }
// Get provinces formatted in Nepali
const provinces = getProvincesByLang('np');
console.log(provinces);Deep dives into Google Cloud Platform (GCP), Serverless architectures, FinOps cost savings, Kubernetes, and high-availability database reliability.
How to design ephemeral preview environments for API servers using Google Cloud Run, Cloud Build, and GitHub Actions to isolate feature testing before production merge.
Proven engineering strategies to reduce Google Cloud infrastructure expenditure by 30% to 50% using Committed Use Discounts, Spot VMs, GKE auto-scaling, and idle resource cleanup.
Architecting event-driven microservices using Google Cloud Run, Cloud Functions, Eventarc, and Pub/Sub to pay only when your application code executes.
Query architecture blueprints, database specs, and engineering background via interactive terminal commands.
Available for SRE consulting, high-availability PostgreSQL architecture, backend development, or conference keynotes.