Arshfod Captano
Arshfod Captano

Senior AI & Full-Stack Engineer

Actively looking · Member since 29 Sep 2026
Location
Nairobi, Kenya
Desired salary
5000–7000 USD/monthly
Work preference
Remote Only / Full Time, Contract
Experience level
Senior

About

Professional summary

I'm a full-stack engineer with 8+ years in production, now focused on AI-native development. I spent five years at Pesapal, a multi-tenant payments SaaS, owning products end-to-end: backend services, REST APIs, dashboards, and CI/CD on Google Cloud Platform. Today I build production AI systems, shipping React/TypeScript frontends against Python and Node backends, with LLM agents and n8n pipelines that replace hours of manual work. I also built the RAG layer, per-tenant data isolation, and the self-hosted inference stack behind it, and I own all of it in production.

AI-assisted development is how I work, not something I've trialled. Claude Code, Cursor, and Copilot run through my whole build cycle, while I keep the judgment on architecture, failure modes, and what reaches production.

I'm comfortable inheriting a codebase, forming a view on it, and shipping fast without breaking things. I work independently and think in terms of product and systems.

Portfolio: https://captano.dev/

Notice period: Immediately

Skills

6 capabilities

Tech stack & tools

Working toolkit

Application Hosting

Data Stores

Experience

Career history

AI Engineer Early-Stage AI Platform

Sole engineer on a production browser voice agent (WebRTC, VAD, STT, LLM, TTS) achieving time-to-first-audio as low as 14ms on common turns. Built multi-tenant RAG retrieval with pgvector and row-level security. Self-hosted GPU inference (vLLM), cutting container cold start ~30%. Delivered outbound automation engine, React/TypeScript client dashboard, and billing service.

Software Engineer Pesapal

Led development across three payment products serving 30,000+ merchants in East Africa. Owned backend services, REST APIs, mobile apps, and dashboards. Optimized queries to reduce latency and database load. Implemented CI/CD on Google Cloud Platform, reducing deployment time. Worked across Kotlin/Jetpack Compose (Android) and Swift/SwiftUI (iOS) alongside Python and Node backends.

Education

Learning history
No education data available.

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