Anojan Yogenthiran

AI/ML Software Engineer

Self-driven, quick starter, passionate AI/ML Engineer with a curious mind
who enjoys solving complex and challenging real-world problems.

About Me

I'm an experienced Machine Learning Engineer with a Master's in Computer Science from Western University, specializing in Artificial Intelligence. Over the past 3+ years, I've developed and deployed AI-driven solutions across research, healthcare, and IoT—blending technical expertise with a passion for solving complex, real-world problems.

As a Research Assistant at the Intelligence Data Science Lab, I had the opportunity to work under the guidance of Dr. Apurva Narayan, focusing on generative AI research to accelerate drug discovery by identifying optimal aptamers. I'm driven by the mission to craft AI solutions that not only tackle challenges but also create a positive impact on millions of lives.

Outside of work, I enjoy playing soccer, hiking, experimenting with new recipes, and watching anime ⚽ 🏔️ 🍳 📺 🏆.

Education

Master of Science in Computer Science

Artificial Intelligence • GPA: 3.8/4.0

Western University

London, Ontario

Sep 2023 – Dec 2024

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

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.