A focused full-stack studio that ships production software
Founded in 2024, Pandasdroid is a small engineering practice building Go backends, Python data pipelines, React dashboards and mobile apps — designed, built and deployed end to end, with live systems to prove it.
- Founded 2024
- Full-stack, end to end
- Live demos, not decks
Small by design, production-grade by default
Every system we ship — from a 12M-record pipeline to a polished dashboard — is owned by the engineer who built it.
Pandasdroid is a solo full-stack engineering practice. Every project is designed, built and deployed by the same person — no handoff delays, no miscommunication, no layers of management between you and the code.
The stack spans Go for high-performance backends, Python and FastAPI for data pipelines and AI integrations, React 19 with TypeScript for frontends, and Kotlin with Jetpack Compose for Android. Data lives in PostgreSQL — including a 21GB, 12M+ record enrichment database — or embedded SQLite where it fits, with Kafka handling event streams between services.
Twenty-five production projects have shipped since 2024: an enterprise CRM with 40+ data models, an email campaign engine sending 50K messages a day, a security monitoring portal with live WebSocket feeds, and business dashboards running as public live demos. Speed is part of the practice — recent client builds went from brief to deployed in one to two weeks.
Three things we build, three ways we work
The same disciplines run through every engagement — real systems over prototypes, and one accountable engineer over a delivery chain.
Operational dashboards
React 19 + TypeScript control panels over live data — machine management, security monitoring, CRM pipelines — with real APIs behind every screen.
Data pipelines & engines
Go and Python services that have enriched 12M+ records: DNS/RDAP engines, Kafka streams, certificate-transparency scanners and 21GB PostgreSQL datasets.
AI & automation tools
AI-powered reply classification, voice and vision assistants, and workflow bots — built on production LLM APIs and local models, not slideware.
Direct to the engineer
You talk to the person writing the code. No project managers, no account layers, no handoff loss — decisions happen in one conversation.
Ship in days, not quarters
CutMaster shipped in 2 weeks, Stock Sync in 1 week, a product configurator in 1 day — each deployed with a live demo you can open today.
Full-stack ownership
Schema, backend, frontend, deployment and tests owned end to end. Every delivery includes source code, documentation and deploy scripts.
Production numbers, not marketing numbers
From first pipeline to live production systems
Two years of shipping — each stage building on infrastructure from the last.
- 2024
Founded — data pipelines & backend systems
Pandasdroid starts with hard infrastructure: a 12M+ record enrichment pipeline in Go and Python, RDAP and DNS engines, a Certificate Transparency scanner and Kafka as the backbone.
- 2024
Email & outreach infrastructure
Shipped a 50K/day campaign engine, SES delivery service and an email intelligence layer with multi-domain sender rotation and AI reply classification.
- 2025
Enterprise CRM & business platforms
Built an enterprise CRM from scratch — 40+ data models, Kafka workflows, RBAC and a Kanban pipeline — alongside company-monitoring and tender-monitoring platforms.
- 2025
AI & automation tooling
Voice intelligence assistant covering 2,210 industries, an AI camera-stream monitor, and automation bots built on the Claude API — all running against real data.
- 2026
Client builds & live deployments
CutMaster machine-management dashboard in 2 weeks, QuickSched, Stock Sync in 1 week and a product configurator in 1 day — every one deployed with a public live demo.
- 2026
25 projects across 5 languages
Go, Python, React/TypeScript, Kotlin and Java in production — from kernel-level packet analysis to polished dashboards, full-stack and end to end.
Want a system built end to end?
Tell us what you're running today and we'll scope the build — direct with the engineer, from first call to deployment.