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Software Engineer with 3+ years of experience building scalable full-stack and AI-powered applications across international teams. Currently pursuing an MSc in Artificial Intelligence & Human Factors at Coventry University, focused on NLP, Explainable AI, and uncertainty-aware prediction. I build software that ships — from healthcare systems and marketing platforms to AI-powered products — with a focus on reliability, clean architecture, and measurable impact. |
name: Thushantha Sanju
location: London, United Kingdom
role: Software Engineer
focus:
- Full-Stack Product Engineering
- Applied AI & Machine Learning
- Clinical NLP & Explainable AI
- Production Systems & Delivery
currently:
- Researching uncertainty-aware ML
- Building transformer-based NLP
- Shipping production AI workflows |
| 🏗️ Production Systems | 🧠 AI & ML Pipelines | ☁️ Cloud & DevOps |
|---|---|---|
| Full-stack apps with React, Next.js, Node.js & NestJS | NLP, transformers, explainable AI & conformal prediction | Docker, CI/CD, AWS, monitoring & microservices |
| REST APIs, microservices & distributed systems | Deep learning, BERT fine-tuning & clinical NLP | GitHub Actions, Jenkins & production deployment |
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Conformal Prediction & Explainable AI Transformer-based clinical NLP system for ICD code recommendation with uncertainty-aware prediction and token-level explainability. Built to support safer clinical decision-making.
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MERN + Flask ML Product Full-stack market prediction platform with ML-powered recommendation engine. Real-time data pipelines, model serving, and interactive dashboards.
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Transformer-based NLP Pipeline Entity extraction and structured analysis pipeline for clinical note data using transformer architectures. Production-grade pipeline for healthcare text processing.
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Full-Stack MERN Application End-to-end booking platform with JWT authentication, real-time seat selection, and complete transaction flows.
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| Company | Role | Impact |
|---|---|---|
| CueCard AI | Software Engineer | Built AI sales assistant · 50% faster content production · 35% higher engagement |
| Bconic | Software Engineer | Marketing automation platform · 45% faster campaign setup · Real-time dashboards |
| Level 33 Solutions | Software Engineer | Hospital management modernisation · 30% latency improvement · Microservices architecture |
| OREL IT | Trainee Software Engineer | CI/CD pipelines · 60% faster deployment · Microservices migration support |
🎓 Education
- MSc Artificial Intelligence & Human Factors — Coventry University
- BSc (Hons) IT in Software Engineering — SLIIT
📄 Publication
Recommendation System for Stock and Cryptocurrency Market Using Cutting Edge Machine Learning Technology
Published in IRJIET — November 28, 2023
