Engineering the software behind ambitious ideas.
We're a team of experienced software engineers building AI-first products end to end — web and mobile applications, backend services, and the distributed systems underneath them. We think in architecture and ship in production.
3 engineers · 5+ years professional experience · web · mobile · backend · distributed systems
Data & AI First. Engineering Always.
We care about architecture, scalability, performance, reliability, and maintainability — not just shipping features. The systems we build are meant to still make sense a year after we hand them off.
Four kinds of hard problems.
Most engagements land in one of these — often more than one at once.
Product Engineering
Software people actually want to open twice.
- Web applications
- Mobile applications
- Design systems & component libraries
- API integration & internal tooling
AI & Agentic Development
LLMs wired into systems that hold up under real usage, not demos.
- LLM application architecture
- Agentic workflows & tool use
- Retrieval-augmented systems
- Model evaluation & prompt engineering
Backend & Distributed Systems
The parts users never see are where the engineering actually happens.
- API design & service architecture
- Queues, workers & async processing
- Caching & performance tuning
- Observability & reliability
Architecture & Data
Decisions made early that a team is still living with in year three.
- Data modeling & pipeline design
- System architecture & technical strategy
- Database design & migration
- Infrastructure & deployment
What we actually work with.
Languages
- TypeScript
- Python
- Go
- SQL
- Rust
- Java
Frameworks
- React
- Next.js
- Node.js
- FastAPI
- Django
- Spring Boot
Infrastructure & Data
- PostgreSQL
- Redis
- Kafka
- RabbitMQ
- MongoDB
- Docker
- Kubernetes
- AWS
Problems our engineers have solved in production.
Professional experience gained through years of industry experience.
High-throughput data pipelines
Moving and transforming data at volumes where naive approaches fall over.
Distributed task processing
Queues and worker fleets that process asynchronously without losing jobs.
LLM-backed product features
Shipping AI features that behave predictably against real user input.
API design for external consumers
Versioning, rate limits, and contracts other teams and clients depend on.
Database scaling & migration
Schema changes and read/write splits on systems that can't go down.
Caching strategy
Reducing load on primary systems without serving stale or incorrect data.
Authentication & authorization
Session and permission systems that need to be correct, not just working.
Observability & incident response
Instrumenting systems well enough to know what broke and why.
CI/CD & deployment pipelines
Getting code to production safely and repeatedly, not just once.
Real-time systems
Websockets and event streams, and the ordering problems that come with them.
Legacy system modernization
Untangling and replacing systems too load-bearing to rewrite outright.
How we actually work.
Understand before you build
We don't start writing code until we can explain the problem back correctly.
Simple until proven otherwise
Complexity is a cost we take on deliberately, not a default we reach for.
Production is the only environment that counts
Code that works in a demo and code that works in production are different achievements.
Own the outcome, not just the ticket
We think about what happens after we ship, not only whether it ships.
Write it so someone else can read it
The next person to touch this code didn't write it, and we design for them too.
Say what we don't know
Precision about uncertainty is part of the engineering, not a weakness in it.
Three engineers, no middle layer.
Every project is scoped and built by the people doing the work. No account managers, no bench.
Apoorv Yadav
Senior Software Engineer - Backend
5+ years building backend services and distributed systems in production. Focused on architecture that stays correct under load.
- Rust
- Golang
- Python
- Django
- Docker
- MongoDB
- PostgreSQL
- SQL
- REST
- gRPC
- GraphQL
- K8s
- RabbitMQ
- Redis
- Kafka
Shubham Verma
Senior Software Engineer - Frontend
5+ years building scalable web products with React, Next.js, TypeScript, and Rust. I turn complex product requirements into fast, polished, production-ready experiences.
- React
- Next.js
- TypeScript
- Rust
- Node.js
- Docker
- Mongo DB
- Tailwind CSS
- Redux
- REST
- gRPC
Anish Jain
Senior Software Engineer - Backend
I build scalable, production-grade systems with Java, Spring Boot, ML, Kubernetes, and agentic AI—transforming complex problems into reliable software and intelligent, automation-driven solutions.
- Java
- Spring Boot
- PostgreSQL
- Agentic Development
- Machine Learning
- Kubernetes
- AWS
- Java Messaging Queues
- CI/CD Pipelines
Coming Soon
We're building the next generation of tools for developers, researchers, and tech communities. Be the first to know when we launch.
Five steps, no surprises.
Discovery
We start by understanding the problem, the constraints, and what "done" actually means.
Architecture
Before writing code, we agree on the shape of the system — data model, boundaries, what needs to scale.
Build
Iterative development with visibility into progress — working software, not status updates.
Ship
Deployed, monitored, and handed off with the operational knowledge to run it.
Support
Available after launch, because a system's real lifecycle starts once it goes live.
Have something worth building?
Tell us what you're working on. We'll figure out the technology.