Ayush Bairagi

The Journey

How It Started

I started coding because I was curious, not because someone told me to. While still in college, I picked up freelancing on Fiverr and delivered 89+ projects across web scraping, bots, and full-stack applications — earning a 4.9-star rating. Those gigs taught me more about shipping real software than any classroom ever could.

That hustle led me to CubexO as the founding engineer. I built everything from scratch — the product, the deployment pipelines, the monitoring, the internal frameworks. If it needed to exist, I wrote it. From there, Deqode Labs, where I went deep into blockchain data infrastructure — the kind of system where a single misconfigured pipeline could corrupt terabytes overnight.

In 2023, I co-founded Gammaedge — we build and run engineering teams for companies who need to ship fast.

I’m still the person who’ll stay up until 3am debugging a production issue — because I genuinely find it fun.

200+ Projects Delivered

4.9 Fiverr Rating · 89+ Reviews

7+ Years Building

6 Continents Served

What We Build

Engineering That Ships

We don’t do demos. Everything we build runs in production.

AI & LLM Applications

Production RAG systems that serve thousands of queries daily with sub-100ms latency. Fine-tuned LLMs for domain-specific use cases. The hard part isn't calling the API — it's making the AI actually useful with private enterprise data without hallucinating.

Python LangChain Vector DBs FastAPI GPT / Claude

Real-Time Data Pipelines

Modular data infrastructure handling both streaming and batch workloads — millions of events daily. Born from building blockchain data systems at Deqode where existing tools couldn’t handle the scale.

Kafka Spark ClickHouse Airflow Kubernetes

Cloud Infrastructure & DevOps

Infrastructure-as-code at scale — Kubernetes clusters, CI/CD pipelines, monitoring stacks, and zero-downtime deployments. We've migrated monoliths to microservices, set up Rancher clusters from scratch, and built observability into systems that had none.

AWS / GCP Terraform Docker Prometheus Grafana

Managed Engineering Teams

You get a full engineering pod — dev, QA, DevOps, AI — that operates like your own team, not a vendor. We own the outcomes, not just the hours.

Full Stack QA Automation DevOps AI/ML PM Oversight

How I Think

Hills I’ll Die On

“Ship first, optimize later. I’ve watched too many perfect architectures die in planning.”

“AI won’t replace developers. Developers who use AI will replace those who don’t.”

“Outsourcing failed because it sold bodies, not ownership. Real engineering needs skin in the game.”

“If it doesn’t run in a container, it doesn’t run in production.”