Ramika De Silva

Exploring the intersection of business and technology to build impactful software

I'm currently building Lumela, a full‑stack language learning platform built with Next.js (App Router), React, TypeScript, PostgreSQL, and Prisma, integrating OpenAI GPT‑4, embeddings, and pgvector for personalized, story‑driven learning.

I focus on building server‑rendered applications, RESTful APIs, relational data models, and production AI workflows, with attention to performance, reliability, and scalability.

Vancouver, BC · UBC

Proof of Work

From idea to shipped builds with measurable progress and learning

Featured

Lumela

Story-driven language learning app that personalizes lessons to the learner's interests and cultural context.

In progress • building MVP + waitlist

React Native
Python
OpenAI
PostgreSQL

About

Ramika De Silva

I've been building software since I was 13, starting with small side projects and gradually moving toward larger, production‑level applications. I'm currently a second‑year Business and Computer Science (BUCS) student at UBC, where my work sits at the intersection of software engineering, systems design, and applied AI.

Most of my experience comes from building full‑stack web applications and AI‑enabled systems end to end. I work primarily with React, TypeScript, Next.js (App Router), PostgreSQL, and Prisma, and I've built backend APIs and data pipelines using Node.js, FastAPI, and Java‑based systems. On the AI side, I've integrated LLMs, embeddings, and vector databases to support personalization, semantic search, and content generation in real user‑facing products.

I'm especially interested in how modern web architecture, relational data models, and applied AI techniques come together in production systems. I enjoy working close to the codebase, iterating on real features, and improving reliability, performance, and scalability over time.

Outside of work, I enjoy learning new languages 💬 and playing electric guitar 🎸

Ideas That Shaped My Work

Books that changed how I think about building products, managing attention, and creating leverage.

Product & Strategy

Principles of Building AI Agents

Sam Bhagwat

Designing AI systems as modular, goal-driven agents rather than static features.

Applies to: AI product architecture

The Mom Test

Rob Fitzpatrick

Good products come from good questions and honest user conversations.

Applies to: user interviews & validation

Focus & Mental Models

Deep Work

Cal Newport

Sustained focus is a competitive advantage in a distracted world.

Applies to: daily routine

Atomic Habits

James Clear

Small systems, repeated consistently, compound into meaningful change.

Applies to: habit-building & consistency

What Stuck With Me

Moonwalking with Einstein

Joshua Foer

A look into memory, learning, and how much skill is shaped by training and systems—told through a compelling personal journey.

Applies to: memory & learning systems

Writing

Notes on building, learning, and figuring things out as I go.

Featured

Why am I building a language learning app?

December 19, 2025