Software + AILondon, United Kingdom

Software Engineer / AI Engineer

Manoharan Thushantha Sanju

Software Engineer with 3+ years of experience building scalable full-stack and AI-powered applications across product engineering, cloud delivery, and automation-focused platforms.

Scalable systemsAI / MLNLPCloud deliveryCI/CD automationMicroservices
Manoharan Thushantha Sanju

Current focus

Currently pursuing an MSc in Artificial Intelligence, with practical focus on reliable machine learning, transformers, NLP, conformal prediction, and explainable AI.

Product-focused engineering with measurable outcomes

Reliable delivery across frontend, backend, and infrastructure

Strong practical toolkit spanning AI, DevOps, and system design

0+

Years of experience

Shipping full-stack and AI-enabled systems

0%

Faster deployments

CI/CD automation and release workflow improvement

0.0%

Platform uptime

Monitoring, testing, and resilient delivery

0+

Key production roles

AI, healthcare, automation, and platform engineering

About

Software engineering, AI systems, cloud delivery, and production reliability.

I work across React, Next.js, Node.js, Python, microservices, CI/CD, and cloud infrastructure, with hands-on delivery in AI systems, NLP, healthcare software, marketing automation, and production reliability. Currently pursuing an MSc in Artificial Intelligence, with practical focus on reliable machine learning, transformers, NLP, conformal prediction, and explainable AI.

Location

London, United Kingdom

Skills

Technical depth presented with clarity.

Skills are grouped for recruiter readability across product engineering, AI, backend systems, cloud delivery, and testing.

Languages

Python92%
TypeScript90%
JavaScript89%
SQL82%

Frontend

React92%
Next.js90%
Responsive UI Systems87%

Backend

Node.js90%
NestJS86%
Express84%
Flask82%
REST APIs91%
Microservices88%

AI / ML / NLP

PyTorch87%
TensorFlow79%
Scikit-learn84%
Transformers (BERT)86%
NLP88%
Explainable AI80%

DevOps / Cloud

Docker92%
GitHub Actions90%
Jenkins83%
AWS (EC2, S3)84%
Monitoring82%

Databases & Tools

PostgreSQL84%
MongoDB83%
Git91%
Linux86%
Jest / PyTest81%
Experience

Production roles with measurable outcomes.

Experience across AI platforms, automation systems, healthcare software, and engineering operations.

CueCard AI

Software Engineer

Built AI-assisted product workflows combining frontend delivery, backend services, and automated content systems.

Jan 2025 - Mar 2025

San Francisco, USA

  • Built an AI sales assistant using React, Node.js, and Python, reducing content production time by 50% and improving engagement by 35%.
  • Designed modular architecture integrating CMS, social, and analytics APIs for scalable automation workflows.
  • Implemented monitoring and automated testing that supported 99.9% uptime.

Bconic

Software Engineer

Delivered a workflow-oriented marketing automation platform focused on reliability, analytics, and faster campaign execution.

Aug 2024 - Dec 2024

Toronto, Canada

  • Developed a marketing automation platform using Next.js, Node.js, and TypeScript, reducing campaign setup time by 45%.
  • Implemented workflow builder features, email automation pipelines, and real-time dashboards.
  • Supported a more reliable execution model for client campaigns and analytics workflows.

Level 33 Solutions

Software Engineer

Modernized healthcare software with better performance, cleaner user experience, and service-oriented system improvements.

Jun 2023 - Jul 2024

Brasilia, Brazil

  • Modernized a hospital management system using React, NestJS, and microservices, improving latency by 30%.
  • Optimized UX and system performance, contributing to a 20% improvement in user satisfaction.
  • Worked across full-stack delivery in a production healthcare environment.

OREL IT

Trainee Software Engineer

Improved delivery operations and engineering workflows through CI/CD automation and reliability-focused platform work.

Apr 2022 - Feb 2024

Colombo, Sri Lanka

  • Built CI/CD pipelines using Docker and GitHub Actions, reducing deployment time by 60%.
  • Supported microservices migration that improved reliability by 40%.
  • Contributed to frontend and engineering workflow improvements across internal products.
Services

Premium engineering capabilities, packaged clearly.

Service framing based on the factual strengths in the CV and aligned to recruiter and freelance positioning.

Full-Stack Engineering

Responsive, production-grade web products built with React, Next.js, Node.js, and API-first architecture.

AI / ML / NLP Integration

Practical machine learning workflows using transformers, deep learning, and explainable AI for product and research use cases.

DevOps / CI-CD Automation

Release automation, deployment acceleration, and reliability improvements through Docker, GitHub Actions, Jenkins, and monitoring.

Cloud / Microservices Architecture

Scalable service design using REST APIs, distributed components, and cloud-backed delivery patterns.

Projects

Selected builds spanning machine learning and full-stack engineering.

Where public project links were not provided in the CV or your message, placeholders are shown explicitly instead of invented URLs.

AI Research
Project

Reliable ICD Code Recommendation

NLP system for automated clinical coding using transformer models with uncertainty-aware prediction and token-level explainability.

PythonPyTorchTransformersNLP
GitHub link placeholderLive demo placeholder
Machine Learning Platform
Project

Stock-Crypto Prediction Platform

MERN and Flask-based application for financial market recommendation workflows and machine learning-driven prediction.

MERNFlaskMachine Learning
GitHub link placeholderLive demo placeholder
Full-Stack Application
Project

Movie Ticket Booking System

Full-stack booking application with secure JWT authentication and end-to-end user flows.

MERNJWT Authentication
GitHub link placeholderLive demo placeholder
Healthcare NLP
Project

Clinical Notes NLP Analyzer

Transformer-based NLP pipeline for clinical note entity extraction and structured analysis.

PythonTransformersEntity Extraction
GitHub link placeholderLive demo placeholder
Publications

Research presented with the same level of polish.

Research publication on machine learning-driven recommendation for stock and cryptocurrency market analysis.

Research Publication

Recommendation System for Stock and Cryptocurrency Market Using Cutting Edge Machine Learning Technology

International Research Journal of Innovations in Engineering & Technology (IRJIET)

November 28, 2023

Education

Academic foundation in software engineering and AI.

Formal education presented in a clean recruiter-friendly format.

2025 - 2026

MSc in Artificial Intelligence and Human Factors

Coventry University, United Kingdom

2020 - 2023

BSc (Hons) in Information Technology (Software Engineering)

SLIIT - Sri Lanka Institute of Information Technology, Sri Lanka

Contact

Let's talk about roles, products, and platform engineering.

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