About

Senior GenAI Engineer & AI Systems Specialist

6+ years of industry experience designing and delivering
production-grade software and AI platforms

A Senior GenAI Engineer and AI Systems Specialist with 6+ years of industry experience designing and delivering production-grade software and AI platforms used by global teams across Europe, the UK, the US, and Asia.

My work sits at the intersection of scalable backend engineering, full-stack product development, and applied Generative AI. I specialize in building agentic AI systems, LLM-powered platforms, and cloud-native SaaS architectures where reliability, explainability, security, and long-term maintainability are critical.

Over the past several years, I have led and delivered high-impact systems across multiple domains, including healthcare, fintech, ESG risk intelligence, ERP, and multi-tenant SaaS platforms.

From a technology standpoint, I work end-to-end across Python (Django, FastAPI), TypeScript-based full-stack systems (React, Next.js), cloud platforms (AWS), and modern GenAI stacks including LLM orchestration, retrieval systems, and evaluation layers.

My core interest lies in bridging traditional software engineering with modern GenAI capabilities — building systems that are scalable today, explainable in production, and intelligent by design.

Education

  • M.Sc in Data Science - Kingston University London (Expected 2026)
  • B.Sc. (Hons) in Information Technology & Software Engineering - Sri Lanka Institute of Information Technology (SLIIT), 2018-2021
Professional Experience

Reliance Utilities, New Zealand

Oct 2025 – Present

Senior Software Engineer (Remote)

Architectural & Backend Engineering (Python/Serverless)

  • Design backend services using Python, FastAPI, and serverless for performance and reliability
  • Contribute to system architecture decisions focused on scalability, maintainability, and multi-tenant support
  • Build key modules for the energy ERP platform, including billing automation, CRM flows, and document processing

Generative AI, RAG, and LLM Integrations

  • Develop GenAI workflows for document parsing, billing classification, and automated reporting with OpenAI models
  • Implement RAG pipelines using vector databases to improve reasoning accuracy and domain-specific knowledge retrieval
  • Create retailer-specific RAG, validation layers, and structured LLM outputs for energy billing documents
  • Apply prompt engineering techniques to ensure consistency and reduce hallucination risks
Impact: Key contributor to GenAI-powered document automation pipelines, cutting manual processing time significantly and improving billing classification accuracy.

Mediconsult Oy, Finland

Jun 2023 – Oct 2025

Senior Full Stack Engineer (Remote)

Core ERP Healthcare System & GenAI Workflow Development

  • Developed and maintained the Mediconsult Homecare ERP system, ensuring performance, scalability, and reliability
  • Designed responsive UI components and backend services to streamline workflows for healthcare professionals
  • Implemented GenAI-powered workflow enhancements, integrating LLM-based components for data summarization and decision support
  • Built multi-agent GenAI workflows with specialized agents for data validation, document processing, and workflow routing

Agentic Architecture & Workflow Orchestration

  • Designed workflow-based GenAI pipelines, coordinating multiple agents using rule-driven orchestration
  • Integrated GenAI agents with existing ERP services via APIs, enabling automated task execution
  • Implemented RAG, CAG, and fallback logic to ensure reliable AI-assisted workflows
Impact: Improved system usability, reduced workflow bottlenecks, and lowered defect rates through structured development practices and multi-agent AI integration.

IFS, Sri Lanka

Feb 2022 – Jun 2023

Software Engineer II - Global Consulting (Hybrid)

ERP System Engineering & Multi-Technology Development

  • Customized and configured ERP systems improving operational efficiency and reducing manual interventions by 30%
  • Developed enterprise applications using Python (Django, Flask), React.js (TypeScript), and Next.js
  • Managed PostgreSQL and MySQL databases, streamlining data flows and cutting processing time by 15%
  • Improved data processing speed by 40%, reducing technical debt by 25%
Impact: Achieved 100% on-time delivery with 15% increase in client satisfaction, and managed cross-border payment integrations with 25% improved efficiency.

CodeGen International, Sri Lanka

Nov 2019 – Feb 2022

Software Engineer I

May 2021 – Feb 2022
  • Led the design and implementation of scalable backend systems using Python, Django, and REST APIs
  • Refactored legacy codebases to improve performance, maintainability, and testability
  • Optimized database queries and ORM usage for high-traffic workloads
  • Owned deployment pipelines for production Django applications on AWS
  • Mentored interns and associate engineers on Python best practices and system design

Associate Software Engineer

May 2020 – May 2021
  • Designed and maintained backend services using Python and Django, building RESTful APIs
  • Implemented Django REST Framework serializers, views, permissions, and JWT-based authentication
  • Designed relational schemas using PostgreSQL and MySQL ensuring performance and data consistency
  • Deployed Django applications on Linux-based AWS environments using Nginx and Gunicorn

Intern Software Engineer

Nov 2019 – May 2020
  • Contributed to backend services using Python and Django, implementing RESTful APIs
  • Assisted in developing Django REST Framework serializers and authentication flows
  • Worked with PostgreSQL and MySQL, writing SQL queries and ORM-based data access logic
  • Participated in Agile ceremonies and collaborated with QA and product teams
Impact: Progressed from intern to Software Engineer I in 2+ years, contributing to scalable backend systems, mentoring team members, and delivering production-grade Django applications on AWS.
Impact Highlights

Healthcare & ERP

Architected and delivered secure, compliant, large-scale ERP modules supporting thousands of active users, improving operational efficiency, data integrity, and system reliability in regulated environments.

Fintech & ESG Risk Intelligence

Designed and implemented GenAI-powered risk analysis and automated reporting pipelines, integrating LLMs into mission-critical ESG workflows to accelerate insights and improve decision-making accuracy.

Multi-Tenant SaaS Platforms

Engineered high-performance, cloud-native SaaS systems with robust multi-tenant access control, scalable APIs, and optimized data pipelines built to support global users.

AI-Driven Automation

Designed and deployed LLM-based features, RAG pipelines, intelligent document extraction, and workflow automation systems that significantly accelerated business intelligence.

Core Expertise

Agentic AI Systems

Designing and implementing multi-agent AI workflows, LLM orchestration, rule-driven agent coordination, and intelligent task delegation patterns for production systems.

LLMs, RAG & XAI

Building RAG pipelines, vector database integration, prompt engineering, explainable AI systems (XAI), and reliable LLM-powered features with evaluation layers.

Advanced Full-Stack Engineering

End-to-end system development with Python (Django, FastAPI), TypeScript (React, Next.js), scalable APIs, and modern deployment practices.

Cloud-Native SaaS Architecture

Designing multi-tenant systems, serverless components (AWS Lambda, Step Functions), scalable cloud pipelines, and enterprise-grade integrations.

Security & Compliance

Building secure, compliant systems for regulated industries with robust authentication, RBAC, data integrity, and privacy-first architectures.

CML & Production ML

Continuous Machine Learning (CML) pipelines, model deployment, monitoring, evaluation frameworks, and production ML system reliability.

Technology Stack

Backend & APIs

  • Python: Django, FastAPI, Flask
  • APIs: RESTful, GraphQL
  • Background Tasks: Celery, Redis, Arc Jobs

GenAI & ML

  • LLMs: OpenAI API, GPT models
  • RAG: Vector databases, retrieval systems
  • Agentic AI: Multi-agent workflows, orchestration
  • XAI: Explainability, evaluation layers
  • Frameworks: LangChain, Pydantic
  • NLP: spaCy, Hugging Face
  • CML: Model deployment, monitoring

Cloud & Infrastructure

  • AWS: Lambda, S3, SQS, API Gateway, Step Functions
  • Containers: Docker, Kubernetes
  • CI/CD: GitLab, GitHub Actions, Jenkins
  • Monitoring: CloudWatch, observability tools

Frontend & Full Stack

  • TypeScript: React, Next.js
  • State Management: Modern React patterns
  • UI/UX: Responsive, accessible design

Databases

  • Relational: PostgreSQL, MySQL
  • NoSQL: MongoDB
  • Vector: Pinecone, Weaviate, pgvector
  • Caching: Redis

Security & Auth

  • Authentication: JWT, OAuth2
  • Authorization: RBAC, multi-tenant access control
  • Compliance: GDPR, HIPAA-ready architectures

Collaboration & Methods

  • Agile: Scrum, Kanban
  • Tools: JIRA, Confluence, GitLab
  • Remote: Distributed team collaboration
  • Code Quality: Reviews, testing, CI/CD