01Consulting02Founder scorecard03Story04Operating record05Professional profile06Builds07Writing08Creative
LinkedIn ↗GitHub ↗Email ↗
Evan D'Souza
LocationBengaluru, India
BuildingOdessis · Dszape · BeckyOS
Background10+ Years Startup Ops
Currently IntoAI Agents · Local LLMs

The Decade in Operations

Over ten years in early-stage companies, I have built onboarding, support and operating processes. As WeavedIn's first operations hire, I supported its growth from 4 to approximately 500 accounts before the Paytm acquisition. At Paytm, I built the Smart Retail operations process and led the online team that onboarded 2,500 merchants. At UrbanPiper (February 2020 to April 2021), I managed 50+ restaurant-platform implementations. As Head of Global Operations at Aviyel, I built a 2,000+ member developer community.

At Fluidworks, my work spanned growth, content, launches and early-user onboarding. From June 2025 to June 2026, I worked at Wardenera as Solutions Consultant : Customer Onboarding and Success, helping property operators across India and the Middle East with implementation, training and ongoing support.

Odessis: From Music to Brand

Since November 2025, I have been building Odessis. It began with music and grew into a creative practice spanning sound, film, visual identity, websites and brand communication. It brings my creative work and startup operating experience together.

Then AI Changed the Maths

I studied computer science but never worked as an engineer. In 2026 that stopped mattering. I am building Dszape as a personal hospitality SaaS learning project, exploring reservations, room management and billing. It is under development. The work helps me practise product requirements, user flows and AI-assisted development.

Building solo forced me to solve AI's management problem, so I built BeckyOS, a multi-agent coding OS published on npm. Specialist agents with separation of duties, evidence tiers instead of self-reported "done", and rules compiled from real production incidents. The agent that builds can't grade its own work.

The Lab: Local LLMs

Alongside the products, I experiment with what runs on my own machine: local models via Ollama, a local text-to-speech voice for my always-on assistant, file-based long-term memory for agents, an offline AI vocal mastering chain for my music label, and an MCP server that lets agents write MIDI straight into FL Studio. Local models where privacy and iteration speed matter; frontier models where capability does.

And Still Consulting

I keep three consulting seats for early-stage startups. It is the same hands-on systems work I've always done (ops, funnels, onboarding), now with AI adoption added. If you want the playbooks without the engagement, they're all on the blog.

Key Highlights

Dszape: Personal SaaS Project

A hospitality SaaS learning project exploring reservations, room management and billing. Under development, with a focus on product requirements and AI-assisted development.

BeckyOS: Multi-Agent Coding OS

Published on npm. Specialist agents with separation of duties, DONE/VERIFIED/AUDITED evidence tiers, and rules compiled from real production incidents.

4 → ~500 Accounts at WeavedIn

Built onboarding, helpdesk and training as the first operations hire, supporting growth to approximately 500 accounts before the Paytm acquisition. Later led Paytm’s online team in onboarding 2,500 merchants.

50+ B2B SaaS Launches at UrbanPiper

Ran 50+ onboarding projects across web, Android, and iOS for a leading Indian restaurant-tech platform, including compliance, stakeholders, and training.

Community From Zero at Aviyel

As Head of Global Operations, built a 2,000+ member developer community and onboarded 200+ technical writers and 1,500+ open-source contributors.

The Local LLM Lab

Ollama on Apple Silicon, a local TTS voice for a persistent assistant, agent memory systems, offline AI vocal mastering, and an FL Studio MCP server.

Let's Talk

Building something with AI, or want hands-on help scaling? I answer every serious email.