Available · Vancouver, BC

Shalitha
Senanayaka

9+ years in the engine room. Designing and shipping the cloud infrastructure, distributed backends, and AI systems that ambitious products run on. Built to hold.

track_record.live
UPDATED 2026
  • 9+yrs
    years in engineering
  • 20+
    AI systems in production
  • 100+
    enterprise systems shipped
  • 5k+
    concurrent users at peak load
  • 6yrs
    cloud architecture
  • 70+%
    avg performance lift delivered

01 / Experience

Where I've worked

Joined as a contractor through TEKsystems and converted to permanent staff within six months. Leading the decomposition of a large monolithic system into a distributed microservices architecture on Azure, delivering a measurable 70% performance improvement while keeping traffic routing seamless for end users.

  • Decomposed a large monolith into microservices — 70% performance improvement
  • Managed traffic routing during live migration with zero downtime for end users
  • Converted from contractor to permanent engineer within six months
  • .NET Core
  • Azure
  • Microservices
  • Docker
  • Kubernetes

02 / Selected work

What I've built

01 · AI · Automation 2023

Autonomous AI Sales Engine

Lead Architect & Developer

An end-to-end intelligent sales automation platform built from scratch. The system initiates prospect outreach, conducts multi-turn AI-driven conversations to qualify leads, then autonomously coordinates all downstream activity — scheduling, task assignment, progress tracking, and client communication — with minimal human touch. People step in only where judgment matters.

  • Azure OpenAI
  • Azure AI Search
  • Multi-agent Orchestration
  • HubSpot
  • Redis
  • Power BI
  • React
  • Azure
Prospect to signed deal. The system handles it.
02 · Cloud · Enterprise 2022

Healthcare Audit Compliance Platform

Lead Architect

Mission-critical audit management system for major Canadian healthcare providers. Inherited a brittle .NET 4 WebForms monolith on-premise and re-architected it end-to-end: full AWS migration, decomposed into secured microservices, with modern observability throughout. Outcomes: 75% performance improvement, 40% cost reduction, 5,000+ concurrent users.

  • AWS ECS
  • AWS Lambda
  • RDS
  • SQL Server
  • Redis
  • CloudWatch
  • GuardDuty
  • .NET Core
75% faster · 40% cheaper · 5,000 users at once
03 · SaaS · Full-stack 2024

Law Firm SaaS Platform

Lead Engineer

A fully integrated SaaS platform purpose-built for law firms — one subscription covering everything. Web application, mobile app, desktop client, and a secure client portal all under a single unified platform. Currently live and in active feature rollout.

  • ASP.NET Core
  • React
  • SQL Server
  • Redis
  • LLMs
  • Azure API Management
  • Azure Container Apps
  • Azure Entra ID
  • Bicep IaC
  • Azure DevOps
Live in production · shipping new features
04 · AI · Automation 2024

AI Employee Onboarding System

Lead Engineer

An intelligent onboarding platform that automates the entire new-hire journey. Handles account provisioning, delivers personalized training sequences tailored to each role, and guides employees through a structured pre-staging process until fully work-ready — all AI-driven with minimal HR involvement. Eliminates manual steps and compresses time-to-productivity.

  • LLMs
  • Azure OpenAI
  • .NET Core
  • Automated Workflow Orchestration
  • Azure
Offer letter in, day-one-ready out. No HR bottleneck.

03 / Toolkit

The stack, end to end

Grouped by where they live in the system. Pick a layer to see what I reach for.

AI & ML

Highlight Built a multi-agent sales engine that runs prospect outreach, qualifies leads through multi-turn conversation, and hands off only the moments that need a human.

Four AI systems shipped to production so far: an autonomous sales engine, an Azure OpenAI lead generator built solo at minimal cost, an end-to-end employee onboarding system, and an in-app assistant inside a live SaaS platform. RAG pipelines, vector search, and agent orchestration are the muscle underneath; prompt engineering and evaluation are how I keep them honest.

Tools
Azure OpenAILLMsLangChainRAG PipelinesFine-tuningPrompt Engineering
Also fluent in
Azure AI SearchFunction callingEmbeddingsTool useGuardrailsEval harnessesHugging Face

04 / Research & credentials

Where I've published

IEEE Xplore · 2022

Continuous American Sign Language Recognition Using Computer Vision and Deep Learning Technologies

S.A.M.A.S. Senanayaka · R.A.D.B.S. Perera · W. Rankothge · S.S. Usgalhewa · H.D. Hettihewa · P.K.W. Abeygunawardhana

Research into real-time, continuous ASL recognition using computer vision and deep learning. Addresses the challenge of interpreting continuous sign sequences — not just isolated gestures — with the goal of building more inclusive human-computer interaction systems.

Read on IEEE Xplore ↗

Certifications

AZ-900
Microsoft Azure Fundamentals Microsoft
AZ-204
Developing Solutions for Microsoft Azure Microsoft
AZ-400
Designing and Implementing Microsoft DevOps Solutions Microsoft

05 / Contact

Open for new work

I take on senior engineering and architecture work — backend systems, cloud infrastructure, AI integrations. Drop me a line if something fits.