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AI/ML Backend Software Engineer Candidate

Location:
Sydney, NSW, Australia
Posted:
October 30, 2026

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Resume:

DAT NGUYEN

SOFTWARE ENGINEER

E :

P:

*********@*****.** m

+61-482******

W :

P:

LinkedIn.com/in/usn-da t

Github.com/believeinthewind

BIO

I am an AI/ML-focused software engineer with hands-on experience across back-end development

(Spring Boot, PostgreSQL), microservices architecture, applied AI research in system, fine-tuning and integrating ML models.

education experience

Bachelor of Computer Science

University of Wollongon g

2023 - 2025, Wollongon g

Major Artificial Intelligence and Big Data

Bachelor of Engineering, Computer Science

University of Information Technolog y

Birmingham Universit y

2022 - 2024, Vietnam

skills

AI / Machine Learning :

Pytho n

LLM fine-tuning and integration (Cogniss )

Audio signal processing (Wisdom )

Deep learning, neural network s

Backend & System s

Java (Spring Boot )

C/C+ +

System desig n

Microservices architecture (Eureka, API Gateway ) JWT authentication, role-based access contro l

Databases (PostgreSQL, MongoDB, SQL, Redis )

Cloud & Tool s

AW S

Google Clou d

Docke r

Gi t

RabbitMQ

Web Developer Intern Cogniss

Feb - May 2025, Sydne y

Responsibilities :

Read and analyse website's models .

Provide adjustments for current web app .

Run experiments and provide solutions to

implement and enhance chatbots for

customers’ websites.

Internship Study Australia Industry

Experience Program

Jan - Feb 2025, Wollongon g

Responsibilities :

Develop a solution to enhance user

engagement by re-designing the client's

website .

Collaborate with team members and the

client to ensure the changes align with

business goals.

AI Research, Developer Intern Wisdom

Robotic s

Oct 2024 - June 2025, Remot e

Responsibilities :

Read and analyse research studies on audio

signal processing using model-free

methods .

Explore and implement new techniques and

technologies in the field .

Develop and deploy algorithms and

solutions based on the research findings,

including coding and testing .

Collaborate with the engineering team to

enhance the performance and accuracy of

audio processing applications.

References available upon request



Contact this candidate