Burnaby, BC · Open to strong engineering teams

Software engineer · AI-assisted automation

Lavan
Thayaparendran

I turn complex systems into dependable, intelligent automation.

Computer engineer working across release engineering, Python automation, cloud infrastructure, and applied AI. Currently focused on agentic workflows and AI-assisted automation frameworks — most recently deploying LiteLLM and Hermes-based agents into real test pipelines at Fortinet.

Start a conversation Review experience
SELECTED WORK

Breadth, with a bias toward systems that work.

My work spans AI-assisted automation, software delivery, infrastructure, data engineering, and hardware-adjacent research. The thread is consistent: understand the system, automate the repeatable parts, and make reliability visible.

8 yearsacross software, cloud, and AI engineering
AI-integratedagentic workflows · LiteLLM · MCP tooling
Python-firstautomation, backends, data, and ML

AI-integrated release automation

FORTINET · SENIOR SOFTWARE RELEASE QA SPECIALIST

Own a centralized automation framework for application performance and feature testing across FortiGate, FortiClient, FortiSASE, and FortiStack — Python/Selenium automation, Airflow-orchestrated pipelines, Grafana performance monitoring, and per-build performance testing. Evolved the framework into an AI-integrated platform: deployed and manage LiteLLM for the team, drive testing with the Hermes agent (Qwen 2.5 VL), OpenCode, and Playwright MCP, design orchestrated multi-bot workflows where bots call one another, and generate AI-assisted root-cause analysis reports.

PythonLiteLLMHermes agentsPlaywright MCPAirflowSeleniumGrafana

Ocean data, made cloud-ready

MEMORIAL UNIVERSITY · PYTHON DEVELOPER, CO-OP

Developed a Python Flask backend and a containerized data pipeline that transformed Fisheries and Oceans Canada datasets from netCDF to Zarr for scalable visualization — with Terraform-automated cloud infrastructure on OpenStack, Prefect pipelines, and Dask/Xarray for multidimensional data processing.

PythonFlaskDockerTerraformPrefectZarr

Indoor robot localization

MSc RESEARCH · MEMORIAL UNIVERSITY

Built an indoor localization solution for mobile robots using HTC VIVE tracking to improve pose-estimation frequency and accuracy — Teensy and Raspberry Pi handled onboard processing, with the control logic developed in C++ and Python.

RoboticsHTC VIVEC++PythonRaspberry Pi

UAV systems design

BSc ENGINEERING · SLIIT

Designed and built an autonomous quad-copter system for remote monitoring of large agricultural sites — aerial imaging of crop and land conditions with remote access, built around Pixhawk with automation and cloud connectivity.

UAVPixhawkC#Embedded systemsAutomation
PORTFOLIO

Selected projects, in depth.

Nine projects across robotics, computer vision, cloud, and data — each with its own case-study page.

EXPERIENCE

From infrastructure to release engineering.

Hands-on experience across the software lifecycle, from building cloud platforms and data services to validating production releases.

DEC 2021 — PRESENT

Senior Software Release QA Specialist

Fortinet · Burnaby, BC, Canada

Developed the centralized automation framework for application performance and feature testing. Python/Selenium/API automation, Airflow orchestration, Grafana performance monitoring, and per-build performance testing across FortiGate, FortiClient, FortiSASE, and FortiStack. Deployed and manage LiteLLM for the team; drive the framework with Hermes agents (Qwen 2.5 VL), OpenCode, and Playwright MCP; design orchestrated multi-bot workflows; and produce AI-assisted root-cause analysis.

APR — DEC 2020

Python Developer, Co-op

Memorial University · St. John's, NL, Canada

Built backend services and cloud infrastructure for the Ocean Navigator project (Fisheries and Oceans Canada): Flask backend, Docker-based deployment, Terraform automation on OpenStack, Prefect data pipelines, and netCDF-to-Zarr processing with Dask/Xarray.

APR 2017 — AUG 2019

Cloud Engineer

Dialog Axiata PLC · Colombo, Sri Lanka

VMware-based cloud solution design, managed-services operations, network architecture, and root-cause analysis for enterprise infrastructure — spanning datacenter operations, cloud planning, and product development.

TOOLKIT

A practical toolkit for varied technical problems.

No arbitrary percentages—just the technologies and disciplines I’ve used to build, automate, test, and investigate real systems.

CORE_01

Languages

Python, C, C++, TypeScript, Go, Java, JavaScript, MATLAB, Shell, Batch

CORE_02

AI & agentic systems

LiteLLM, Hermes agents, Qwen, OpenCode, Playwright MCP, agentic workflows, AI-assisted root-cause analysis

CORE_03

Quality & release

Test automation, release validation, performance benchmarking, regression analysis, bug triage, pipeline operations

CORE_04

Cloud & DevOps

AWS, Docker, Terraform, VMware, Hyper-V, OpenStack, Apache Airflow, Prefect, Grafana

CORE_05

Data & applied systems

Machine learning, computer vision, Flask, netCDF, Zarr, Dask, Xarray, PostgreSQL, robotics

CORE_06

Networking

TCP/IP, routing & switching, VLANs, network architecture, Cisco CCNA, CCNP Switch

CORE_07

Embedded & electronic design

Electronic design, embedded systems, Raspberry Pi, PIC, MSP430, FPGA

VMware VCP-DCV2019
Fortinet NSE Level 32018
Cisco CCNP Switch2017
Cisco CCNA2016
Oracle Java Programmer2013
Diploma, Hardware & Network Engineering2013
CONTACT

Have a difficult system to understand, improve, or ship?

I’m open to conversations across software engineering, AI integration, automation, cloud, networking, data, robotics, and electronic design. Tell me what your team is building and where you need leverage.

lavan012@gmail.com
Based in Burnaby, British Columbia