I TURN COMPLEX
PROBLEMS INTO
SOLUTIONS.
I build systems, tools and intelligent applications that create real impact.
Currently open to meaningful opportunities.
02 /EXPERIENCE
Software Engineer
Software Engineer
@ ZenliseArchitecting automated app publishing microservices, deployment pipelines in Go & Python, task queues with Redis, and Azure cloud infrastructure.
Engineering Intern
Engineering Intern
@ WSO2Contributed to enterprise middleware & identity management solutions, REST API integrations, and cloud-native backend service optimization.
Full Stack Developer
Full Stack Developer
@ FreelanceBuilding scalable web & mobile apps for international clients using React, Next.js, Flutter, and cloud database architectures.
03 /SELECTED WORK
01Zenlise: Automated App Publishing
Microservices platform in Go & Python automating app deployment and store compliance checks with Redis task queues & Azure cloud.
02Northstar Face Recognition System
Edge-based facial recognition entry system using Flutter & MobileFaceNet with real-time anti-spoofing and liveness detection algorithms.
03Fuel-Master Quota Management
3-tier monorepo system with Spring Boot backend, JWT RBAC, React admin dashboard, and Flutter mobile app with real-time field operations.
04Northstar Production Fitness Suite
Full-featured iOS & Android fitness management suite deployed to production stores with HealthKit/Google Fit telemetry sync.
05DocuMind AI - Intelligent PDF Assistant
Enterprise PDF document intelligence system with vector embeddings, semantic RAG search, and interactive AI chat assistant.
06Distributed Task Queue Engine
High-throughput asynchronous job processing engine written in Go with Redis queue backend, failure retries, and metrics dashboard.
04 /MY APPROACH
Modular Microservices
Designing decoupled, event-driven architectures with Go, Python & Redis queues.
High-Performance Backends
Optimizing REST APIs, Spring Boot services, and database queries for low latency.
Cross-Platform Mobile
Engineering native-like Flutter mobile apps for iOS and Android.
Clean Code & Testing
Enforcing test coverage, CI/CD pipelines, and rigorous software architecture.
TOOLS I USE
23 active technologies05 /RESEARCH & PUBLICATIONS
READ PAPERA Methodology for Investigating AI Pattern Prevalence in Software Repositories
Best Paper Award (PATTERNS 2026)Proposed an empirical methodology to measure AI design patterns using call-graph community chunking and active learning strategies.
HippoCortex: Continual Learning & Data-Efficient Memory Architecture
Ongoing ResearchDeveloping a novel neural architecture for continual edge-based facial recognition and liveness detection with fast, data-efficient memory management.
06 /HONORS & AWARDS
01Best Paper Award
— PATTERNS 2026 International ConferencePublication Award(2026)Awarded for empirical research on AI pattern prevalence using call-graph community chunking & active learning strategies (arXiv:2607.00558).
021st Runner-Up
— Junior Hack 2025 (SESA)Hackathon(2025)Secured 2nd place in the nationwide software hackathon organized by Software Engineering Students Association.
034th Place Finalist
— Sansatech ChallengeCompetition(2025)Ranked 4th place in competitive software engineering innovation and rapid prototyping challenge.
04IBM Machine Learning Certified
— IBM CredentialCertification(2024)Certified in supervised learning, neural networks, feature engineering, and predictive AI modeling.
05Explainable AI (XAI) Specialization
— Duke UniversitySpecialization(2024)Specialized in model interpretability, feature importance attribution, SHAP/LIME tools, and transparent ML systems.
07 /ABOUT ME
Hasinthaka Piyumal
Software Engineer & Final-Year Undergraduate
Final-year Software Engineering student at University of Kelaniya. Specializing in distributed backend microservices, applied machine learning pipelines, and full-stack web/mobile application development.
With 3+ years of freelance experience delivering web and mobile apps alongside enterprise engineering experience at WSO2 and Zenlise, I build software that balances technical rigor with real-world product reliability.
My academic research in AI design pattern prevalence won the Best Paper Award at PATTERNS 2026 and is published on arXiv.
TECHNICAL FOCUS
Backend & Distributed Systems
Architecting high-throughput microservices in Go & Python, Redis queues, REST APIs, and PostgreSQL database schemas.
Applied AI & Vector Embeddings
Hands-on experience at WSO2 building active learning pipelines, graph clustering, LLM vector ingestion, and edge AI.
Full-Stack & Mobile Delivery
Designing responsive Next.js web applications and production Flutter mobile suites deployed to iOS and Android stores.
08 /LET'S CONNECT
Have an interesting project or just want to connect? I'd love to hear from you.
Whether you need backend microservices, applied AI solutions, or full-stack web and mobile development, my inbox is always open.