Anojan Yogenthiran

AI/ML Engineer

About Me

Hi, I'm Anojan!

I'm a Machine Learning Engineer at the Vector Institute, where I'm building and shipping production-grade agentic AI systems in healthcare. My work focuses on multi-agent orchestration, LLM evaluation, and deploying AI that holds up in the real world.

Previously, I was a Research Assistant at Western's Intelligence Data Science Lab under Dr. Apurva Narayan, fine-tuning LLMs on genomic data for drug discovery. Before that, I built medical imaging AI at HeHealth in Singapore and motion classification models for IoT analytics at Kaidu.ai. I'm also collaborating with a special team at Core MFG, applying AI to the manufacturing industry.

Outside of machine learning, I spend my time exercising 💪🏋️🏃, jogging 🏃, playing soccer ⚽🏃, hiking 🥾, and reading or writing blogs ✍️.

“If you can dream it, you can do it.”— Walt Disney

Education

Master of Science in Computer Science

Artificial Intelligence • GPA: 3.9/4.0

Western University

London, Ontario

Sep 2023 – Feb2 2025

Research: Generative AI-Driven Aptamer Discovery for Accelerated Drug Development

Bachelor of Science (Honours) in Electrical and Electronic Engineering

Sri Lanka Institute of Information Technology

Colombo, Sri Lanka

Jan 2018 – Dec 2021

Work Experience

Vector Institute

Machine Learning Associate

Toronto, Ontario

Jan 2026 – Present

Building an AI-powered doctor scheduling assistant—a conversational agent that lets doctors manage availability and preferences in natural language. Implementing a StateGraph-style ReAct agent with LangGraph, LangChain, and Azure OpenAI models, RAG over PostgreSQL for context retrieval, and deploying as a Docker containerized LangGraph server on Kubernetes in the GenAI cluster.

Kaidu.ai

Data Science and Engineering Intern

Toronto, Ontario

Jan 2025 – Apr 2025

As a Data Science and Engineering Intern, I developed and deployed an end-to-end pipeline for a real-time IoT project. I used a machine learning approach with technologies including FastAPI, Docker, PostgreSQL, and MLflow to deliver a high-performance motion classification system.

Intelligence Data Science Lab, Western University

Research Associate

London, Ontario

Apr 2024 – Dec 2024

Advancing genomic research by pioneering the use of frontier LLMs (LLaMA 3.1, Mistral-7B) and Deep Learning models (CNNs, VAEs) to automate DNA sequence processing and improve gene prediction accuracy.

HeHealth

Associate AI/ML Engineer

Singapore

Oct 2022 – Oct 2023

Core team member developing medical imaging models (ResNet, VGG16) and enhancing robustness with GAN-based augmentation (SinGAN, ConSinGAN), achieving 96% accuracy in STD detection.

I worked across MLOps pipelines (GitHub Actions, AWS SageMaker) and XAI methods (Grad-CAM), automating retraining, improving dataset balance, and integrating explainability into clinical dashboards.

SenzMate AIoT Intelligence

Associate ML Engineer

Colombo, Sri Lanka

Dec 2021 – Sep 2022

I worked on large-scale projects for the IoT sector. I used big data and deep learning approaches with PySpark, Dask, TensorFlow, and LSTMs to engineer distributed pipelines and deploy predictive models for real-time anomaly detection.

Skills

My expertise and technical proficiencies

Programming Languages

Python

SQL

JavaScript

C++

Java

MATLAB

AI & Machine Learning

LLM Fine-tuning (LoRA, QLoRA)

RAG

Prompt Engineering

CNNs

LSTMs

GANs

NLP

XAI

Statistical Modeling

LangChain

LangGraph

Libraries & Frameworks

NumPy

Pandas

Matplotlib

Scikit-learn

PyTorch

TensorFlow

Hugging Face

OpenAI API

NLTK

Dask

PySpark

TypeScript

React

Tools & Technologies

Docker

Kubernetes

FastAPI

Flask

Streamlit

Apache Airflow

Kafka

Git

CI/CD (GitHub Actions)

DVC

MLflow

Databricks

AWS

Azure

SageMaker

Vector Databases

Grafana

PowerBI

Tableau

React

Next.js

Node.js

Contact Me

Feel free to reach out if you'd like to discuss opportunities, have a quick coffee chat, or just say hi! I'm always looking forward to meeting new people.