Question 1

Is Sandaruwan Jayasundara available for hire?

Accepted Answer

Yes — available for full-time roles, contract engagements, and freelance projects, working remotely with teams worldwide from Sri Lanka.

Question 2

What technologies does Sandaruwan specialize in?

Accepted Answer

Full-stack and AI engineering: React, Next.js, TypeScript, Node.js, Java, Spring Boot, PostgreSQL, AWS, Docker, and applied AI with LangChain, RAG, and the OpenAI API.

Question 3

Does Sandaruwan work with clients outside Sri Lanka?

Accepted Answer

Yes — remote collaboration with startups and companies across the United States, United Kingdom, Europe, and Australia, with async-friendly communication and timezone coordination.

Question 4

Can Sandaruwan build an AI-powered feature or product?

Accepted Answer

Yes — applied AI engineering including retrieval-augmented generation (RAG), LangChain-based applications, and OpenAI API integrations, built and shipped as production software rather than prototypes.

Question 5

What kind of projects is Sandaruwan best suited for?

Accepted Answer

SaaS products, MVPs for startups, enterprise backend systems, and AI-powered applications — anything spanning frontend, backend, database design, cloud infrastructure, or applied AI.

Question 6

How many years of experience does Sandaruwan have?

Accepted Answer

5+ years as a software engineer, working across companies including Decryptogen, Mobitel, Ovinway, and Wenthura Solutions on production systems and technical initiatives.

Question 7

What is Sandaruwan's educational background?

Accepted Answer

A BSc (Hons) in Software Engineering from SLIIT (Sri Lanka Institute of Information Technology), with a focus on scalable web applications, AI integration, and cloud solutions.

Question 8

Does Sandaruwan contribute to open source?

Accepted Answer

Yes — alongside client and employer work, Sandaruwan contributes to open-source projects and stays current with new technologies outside of paid engagements.

Question 9

How many projects and certifications does Sandaruwan have?

Accepted Answer

25+ projects delivered and 8+ professional certifications, spanning full-stack development, cloud architecture (AWS), and applied AI.

Question 10

Is Sandaruwan available for remote work right now?

Accepted Answer

Yes — currently available for full-time, contract, and freelance engagements, working remotely with teams across different time zones.

Question 11

What kinds of software projects are showcased here?

Accepted Answer

A selection of production work spanning AI assistants, enterprise systems, booking platforms, administration portals, commerce, and cloud applications — built for real users and operations, not demos.

Question 12

Are any of these projects AI-powered?

Accepted Answer

Yes — several featured projects are AI-powered, including retrieval-augmented generation (RAG) assistants and AI-driven applicant tracking systems built with LangChain and the OpenAI API.

Question 13

What technologies are used across these projects?

Accepted Answer

React, Next.js, Node.js, Java, Spring Boot, AWS, MongoDB, PostgreSQL, Docker, and LangChain/OpenAI for AI-powered features — matched to each project's requirements.

Question 14

Are detailed case studies available for these projects?

Accepted Answer

Yes, for select projects — look for the "Read the full case study" link in a project's details, which leads to an in-depth blog write-up.

Question 15

Can I hire Sandaruwan for a similar project?

Accepted Answer

Yes — available for full-time roles, contract engagements, and freelance projects. Get in touch via the contact page to discuss your requirements.

Question 16

What does an AI engineer do that's different from a data scientist?

Accepted Answer

A data scientist typically focuses on model research and analysis. An AI engineer takes language models and turns them into production software: retrieval pipelines, API integrations, evaluation, monitoring, cost control, and the surrounding application architecture — the engineering work required to ship a reliable AI feature, not just a working prototype.

Question 17

What is retrieval-augmented generation (RAG) and do I need it?

Accepted Answer

RAG grounds a language model's answers in your actual data — documents, a knowledge base, product data — instead of relying only on what the model memorized during training. If you need an AI feature to answer accurately from your own content (support docs, internal wikis, product catalogs), RAG is almost always the right architecture.

Question 18

Can you add AI features to an existing product?

Accepted Answer

Yes. Most engagements involve adding an AI feature — search, a support assistant, document Q&A, summarization — to an existing React, Next.js, Node.js, or Spring Boot application, rather than building an AI product from scratch.

Question 19

How do you prevent an AI feature from hallucinating or giving wrong answers?

Accepted Answer

Through grounding (RAG with citations), constrained prompts that require the model to answer only from provided context, evaluation datasets that catch regressions before deploy, and human review for high-stakes outputs. No system eliminates hallucination entirely, but these reduce it to an acceptable, monitored rate.

Question 20

Do you work with LangChain specifically, or other frameworks too?

Accepted Answer

LangChain, direct OpenAI API integration, and custom retrieval pipelines, chosen based on what the project actually needs — a thin, hand-written integration is often more maintainable than a heavy framework for straightforward retrieve-and-answer use cases.

Question 21

Why choose Spring Boot for an enterprise backend?

Accepted Answer

Spring Boot pairs a mature ecosystem (Security, Data JPA, Cloud) with strong conventions for transactions, dependency injection, and testing — well suited to systems where reliability and long-term maintainability matter more than moving fast at any cost, such as financial, telecom, and enterprise platforms.

Question 22

Do you work with legacy Java systems, or only greenfield projects?

Accepted Answer

Both. A significant part of Spring Boot work is modernizing existing Java systems — cleaning up architecture, adding test coverage, migrating databases, and introducing CI/CD — rather than only starting from a blank repository.

Question 23

Should I use microservices or a modular monolith?

Accepted Answer

For most teams, a well-structured modular monolith is the right starting point — it's faster to develop, easier to deploy, and simpler to debug. Microservices earn their complexity when team boundaries, independent scaling, or deployment isolation become real, measured needs.

Question 24

What databases do you work with alongside Spring Boot?

Accepted Answer

PostgreSQL, MySQL, Oracle, and Informix, with attention to schema design, indexing, connection pooling, and migration discipline (Flyway/Liquibase) so the database scales alongside the application.

Question 25

Do you provide support after the initial build is deployed?

Accepted Answer

Yes — ongoing maintenance, feature development, and production support are available after launch, not just the initial build.

Question 26

Should I use Next.js or a plain React SPA?

Accepted Answer

If search visibility, fast first load, or shareable link previews matter — marketing sites, blogs, most SaaS products — Next.js (or a comparable SSR framework) is the right choice. A client-side-only React SPA is fine for authenticated, logged-in-only dashboards where SEO doesn't apply.

Question 27

Can you improve an existing site's Core Web Vitals and SEO?

Accepted Answer

Yes — this typically starts with an audit of rendering strategy, bundle size, image handling, and metadata, followed by targeted fixes rather than a full rewrite. Most performance and SEO issues trace back to a handful of root causes.

Question 28

Do you build a custom design system or use an existing one?

Accepted Answer

Both, depending on the project — Tailwind CSS with Radix/shadcn primitives for a consistent, accessible component library, or working within a design system the team already has in place.

Question 29

Can a React/Next.js frontend integrate with my current backend?

Accepted Answer

Yes — React and Next.js frontends are framework-agnostic on the backend side and integrate cleanly with Node.js, Java/Spring Boot, or any REST/GraphQL API you already run.

Question 30

Do you handle accessibility (WCAG) requirements?

Accepted Answer

Yes — semantic HTML, keyboard navigation, focus management, and ARIA attributes are built in from the start using accessible component primitives (Radix UI), rather than retrofitted at the end.

Question 31

What does hiring a full-stack developer in Sri Lanka actually mean?

Accepted Answer

A single senior engineer covering frontend (React/Next.js), backend (Node.js or Java/Spring Boot), database design, and cloud deployment — reducing coordination overhead compared to hiring separate frontend and backend specialists, especially for early-stage products.

Question 32

Do you work with clients outside Sri Lanka?

Accepted Answer

Yes — remote collaboration with teams in the United States, United Kingdom, Europe, and Australia, with clear async communication, documented milestones, and timezone-aware scheduling.

Question 33

What's the typical engagement model — hourly, fixed price, or retainer?

Accepted Answer

All three, depending on project shape: fixed price for well-scoped builds, hourly for exploratory or evolving work, and monthly retainers for ongoing product development and support.

Question 34

Can you take a project from idea to production?

Accepted Answer

Yes — from initial architecture and MVP build through to production deployment, monitoring, and post-launch iteration, rather than handing off an unfinished prototype.

Question 35

Why hire a full-stack developer from Sri Lanka instead of locally?

Accepted Answer

Sri Lanka's software engineering talent pool combines strong computer-science education and years of experience serving international startups, at a materially lower cost basis than local hires in the US, UK, Europe, or Australia — without a drop in engineering quality.

Frequently Asked Questions

General

About Sandaruwan

Projects

AI Engineering

Java & Spring Boot

React & Next.js

Full-Stack Development

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