I'm a Software Engineer with ~3 years building production distributed systems at a Stealth Startup (Gurugram, India). I architect real-time data pipelines with Kafka, multi-database strategies (MongoDB, ClickHouse, PostgreSQL), and high-concurrency WebSocket infrastructure for IoT and NOC platforms — including enterprise deployments for Reliance and Altius Infra.
Previously: 1M+ daily notifications at JP Furnware, AI-powered SaaS at PinnacleWorks. B.Tech CS, CGPA 8.29/10.
This site exists because most content shows the clean answer. I show the seven approaches that failed first — real thinking, edge cases, and honest tradeoffs at scale.
I keep DSA sharp with LeetCode (~1,000 problems solved · contest rating ~1,577 (~top 27% globally)).
Kafka · WebSockets (10k+ connections) · ClickHouse · Multi-tenant IoT / NOC SaaS · LLM integration · AWS · Grafana/Prometheus · ~50% P99 latency reduction
AWS SQS · WebSockets · Firebase · 1M+ daily notifications · 900ms → 40ms query optimization
NLU engines · Node.js EventEmitter · Redis caching · 40% fewer redundant calls
~3 years in production software engineering roles What I ship with most often. Deeper on Node/TS; honest exposure on the rest.
Node/TS in production; Go for services, tooling, and performance-sensitive pieces.
REST + sockets under load.
Right store for the job.
Events, fan-out, backpressure.
AWS-first, repeatable deploys.
Know when things fail.
Wiring LLMs into real systems — not demos.
Consistent problem solving — keeps algorithms and data structures sharp next to production work.
Hiring, collaboration, speaking, or a question about something I wrote — email is best. I read everything.
amit.verma.codes@gmail.com→Opens your default mail app — no form, no tracking.