Backend Engineering
at Scale.
Hi, I'm Rajesh Joshi. I build high-performance distributed systems, microservices, and AI/ML data pipelines. Currently optimizing latency and throughput at SupportLogic.
Distributed Systems
Designing event-driven architectures and microservices that handle millions of events.
Data Engineering
Optimizing SQL queries, managing pipelines, and reducing latency by up to 40%.
DevOps & CI/CD
Automating deployments with K8s, Docker, and GitHub Actions for zero-downtime rollouts.
Professional Experience
- Built high-throughput microservices processing millions of events/day.
- Led redesign of multiple data pipelines with FastAPI + async architecture, cutting P95 latency by ~40%.
- Implemented distributed job execution patterns, enabling 3x faster real-time insight generation.
- Built internal observability dashboards using Prometheus & Grafana that reduced MTTR by ~30%.
- Optimized SQL queries and schema design, decreasing heavy query execution times by 65%.
- Drove containerized deployments with Kubernetes, enabling zero-downtime rollouts.
- Built data-intensive microservices handling time-series and biomedical data across distributed systems.
- Designed an event-driven workflow to manage asynchronous pipelines, increasing system throughput by >2x.
- Implemented caching and query-level optimizations that reduced API P95 latency from 450ms to 150ms.
- Introduced automated CI/CD pipelines (GitHub Actions), reducing deployment time from hours to minutes.
- Led incident triage and root-cause analysis, contributing to a 25% reduction in production issues.
- Built backend infrastructure for the MVP, which directly supported the company securing initial seed funding.
- Developed core APIs using Django, PostgreSQL to support onboarding, auth and financial workflows.
- Deployed production services on AWS with automated backups, health checks, and environment isolation.
Projects & Achievements
A SaaS used by Shopify merchants to convert Instagram followers into returning customers.
- Built an async messaging workflow enabling real-time DM dispatch with fault-tolerant retry queues.
Turning websites into chat rooms. Commenting infrastructure for any webpage using Firebase and Chrome API.
- Built commenting infrastructure for any webpage using Firebase and Chrome API.
Redis Hackathon | Global Winner
Developed a distributed e-commerce microservices platform inspired by cloud-native patterns.
Implemented asynchronous payment workflows, invoice generation, and email delivery using Redis Stream.
Demonstrated scalable event-driven architecture with zero data loss under failure scenarios.