Stockholm, Sweden

Bhanuka Uyanage

I build

Software engineer and MSc student at Stockholm University. Three years of startup experience delivering production systems — now focused on AI-powered applications, data-driven backends, and intelligent software.

Get in touch Download CV ↓ LinkedIn ↗ GitHub ↗
Python Node.js React FastAPI RAG / LLM Machine Learning Docker
Bhanuka Uyanage

About

Background

I'm a software engineer originally from Galle, Sri Lanka, currently based in Stockholm where I'm pursuing an MSc in Computer and Systems Sciences at Stockholm University.

My background spans over three years of startup-driven full-stack development at IKON Labs, where I led a team of four developers and delivered 10+ production systems for clients across e-commerce, ERP, and data-driven applications.

I'm now focused on the intersection of software engineering and AI — building systems that are not just functional but intelligent. I'm open to full-stack, backend, and AI engineering roles in Sweden.

10+
Production systems shipped
3+
Years professional experience
1
IEEE publication (ICITR 2024)
~40%
Deployment errors reduced at IKON

Skills

Tech Stack

Languages
Python JavaScript PHP Java C
Backend & APIs
Node.js Express FastAPI Laravel Spring Boot REST APIs
Frontend
React Next.js Vite Tailwind CSS Radix UI
Data & ML
Scikit-learn TensorFlow PyTorch Pandas NumPy
NLP & AI
RoBERTa / BERT RAG MCP LLM integration Prompt engineering
Cloud & DevOps
Docker AWS CI/CD Linux Git

Experience

Work History

Sep 2025
Jan 2026

Visiting Instructor

University of Moratuwa
  • Designed and delivered a semester-long module on cross-platform mobile development (Flutter) and wireless communication to ~30 undergraduate students.
  • Bridged theory and practice by combining network principles with hands-on app development.
Sep 2022
Feb 2025

Lead Developer

IKON Labs
  • Architected and delivered 10+ client-facing production systems end-to-end, spanning e-commerce, ERP, and data-driven web applications.
  • Reduced deployment errors by ~40% by introducing CI/CD pipelines and standardising code review across a team of 4 developers.
  • Owned client requirements gathering, system design, and post-launch maintenance across tight startup timelines.
Jun 2021
Sep 2022

Full Stack Developer

IKON Labs
  • Built and shipped multiple client web applications using React, Node.js, and MySQL, including a customisable jewellery ordering platform with Stripe integration.
  • Developed an e-commerce platform for a local farm business, enabling their first digital sales channel.

Projects

Selected Work

Latest
Job Risk Assessor
Full-stack app that fetches Swedish job ads via JobTech API and streams a risk assessment using RAG over MCP for employment-law context and OpenRouter LLM inference. Implements fallback RAG queries and real-time SSE token streaming to the UI.
Node.js Express React Vite RAG MCP OpenRouter SSE
↗
RoleWise AMLR Engine
↗
AI compliance training prototype that indexes policy PDFs, infers role-specific AML risks via RAG, and generates validated quarterly training paths grounded in AMLR article references. Includes structured LLM output, validation rules, and a human review workflow (approve/reject/regenerate).
Python FastAPI Next.js TypeScript RAG Chroma OpenAI/Gemini
Issue Tracker
↗
Collaborative issue management dashboard with real-time statistics, advanced filtering, SSR, and full database integration built to production-quality standards.
Next.js TypeScript Prisma Radix UI
ERP System — Nexeyo Solutions
Industry-based university project in collaboration with Nexeyo Solutions. Led the team and served as primary developer for both frontend and backend of a full-stack ERP system.
React Node.js MySQL ERP Team Lead
Fake News Detection — IEEE ICITR 2024
↗
Developed and published the fake news detection module of a group research project on identifying video-based forgeries and fake news in social media. Ensembled RoBERTa with Random Forest, outperforming single-model baselines. Published as main author at IEEE ICITR 2024.
Python RoBERTa Scikit-learn NLP IEEE
Juice Vending Machine — Hardware Project
Led a team to design and build an automated juice vending machine powered by an ATmega32 microcontroller. Developed two companion Flutter apps — a customer-facing app for ordering and an admin app for inventory and machine management.
ATmega32 Flutter Embedded Hardware Team Lead

Education

Academic Background

MSc Computer & Systems Sciences
Stockholm University
Sep 2025 — Sep 2027
Focused on data science, machine learning, and intelligent systems.
Foundations of Data Science Machine Learning Data Mining Internet of Things Services Cyber Forensics Information Security Research Methodology Enterprise Computing & ERP
BSc (Hons) Information Technology
University of Moratuwa
2020 — 2024
Second Class Upper Division  •  CGPA 3.33 / 4.2
IEEE Publication Hardware Project

Contact

Open to opportunities in Sweden

Looking for full-stack, backend, or AI engineering roles in Sweden.

ubhanuka@gmail.com LinkedIn ↗ GitHub ↗