Hello, I'm

Tayalarajan

Shaping the future with Generative AI and Cloud Engineering

I craft robust AI solutions, architect scalable cloud infrastructures, and build dynamic, full-stack applications. Let's innovate together to create impactful tech that transforms industries.

About Me

I build and deploy scalable, secure Generative AI and Machine Learning systems by combining strong data engineering, model development, and MLOps. I work across healthcare, telecom, and enterprise environments with on-prem, AWS cloud, and hybrid deployments.

🤖 Generative AI & LLM Systems

I specialise in fine-tuning LLMs (SFT, LoRA), building RAG pipelines with Knowledge Graphs and AI agents, and turning them into domain-specific assistants—for example, a cancer research LLM at Cancer Institute NSW and evaluation/fine-tuning work on Google Gemini at Turing.

📊 Data Engineering & MLOps

I design batch and streaming data pipelines (Kinesis, Glue, lakes/lakehouses) and use MLflow, CI/CD, and automated evaluation to keep models versioned, observable, and safely rolled out into production with clear regression checks.

☁️ Cloud, Security & Real-World Impact

Using AWS (SageMaker, Bedrock, EKS, S3) with Docker, Kubernetes, and Terraform, I deliver resilient cloud and hybrid deployments. Highlights include a patented digital-twin compliance platform at AirLabOne and the Jio SecureID authentication ecosystem built for millions of users.




tayalarajan

EXPERIENCE

Designing, Building & Scaling AI, ML, Data & Software Systems

Data Scientist

Cancer Institute NSW

Jul 2025 - Nov 2025 · 5 mos
Sydney, NSW · Hybrid

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Machine Learning Engineer

AirLabOne

Jun 2025 - Jul 2025
Sydney, NSW

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AI / Python Engineer

Turing · Contract

Aug 2024 - Aug 2025 · 1 yr 1 mo
Sydney, NSW

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Software Engineer

Deneka IT

Feb 2024 - Aug 2024 · 7 mos
Sydney, NSW · Hybrid

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Software Development Engineer

Jio Platforms Limited

Nov 2022 - Jan 2024 · 1 yr 3 mos
Bengaluru · Hybrid

SecureID

Specialist Programmer

Infosys

Nov 2020 - Oct 2022 · 2 yrs
Chennai, Tamil Nadu, India · Remote

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Education

Academic Background & Learning Journey

Macquarie University
Macquarie University
Graduate

Master of Science, Data Science

Feb 2024 – Dec 2025

Grade: 3.6/4

Core Skills: Generative AI, Data Science, Advanced Machine Learning, Big Data, Data Mining

SREC
Sri Ramakrishna Engineering College
Graduate

Bachelor of Technology, Information Technology

Aug 2016 – May 2020

CGPA: 6.76

Core Skills: App Development, Software Lifecycle, Networking, DBMS, Frontend & Backend Systems

Certifications

Verified credentials across AI, Cloud, Data, and Engineering

AWS Certified Solutions Architect Associate

AWS Certified Machine Learning – Specialty

AWS Certified AI Practitioner

Certified Kubernetes Application Developer

SAS Viya for Learners Challenge Winner 2024

Microsoft PyTorch Fundamentals

Career Essentials in Generative AI

AI Agents Course

Kaggle – Pandas Essentials

Google Code Jam

Google Kick Start

Techgig Code Gladiators

NOTABLES

What I’ve Done

Domain Expertise

Key focus areas aligned with industry innovation and career vision

Cloud Computing

Deploying scalable AI solutions on AWS using services like SageMaker, Kinesis, and Bedrock.

84%
Generative AI

Fine-tuning LLMs, building RAG pipelines, and deploying adaptive AI agents for production.

81%
Data Science

Transforming data into actionable insights with Python, EDA, ML models, and statistical methods.

80%
Machine Learning

Building supervised and unsupervised models using PyTorch, TensorFlow, and scikit-learn.

78%
DevOps

Automating build, test, and deployment pipelines with Docker, Kubernetes, and CI/CD tools.

81%

Skills

Technical competencies across Generative AI, data systems, and cloud engineering

Generative AI & Machine Learning
Generative AI LLM Fine-Tuning (SFT / LoRA) RAG Systems AI Agents Knowledge Graphs LangChain / LangGraph LangFuse Prompt Engineering Vector Search (FAISS / Pinecone) PyTorch TensorFlow
Cloud, Data & MLOps
AWS/Azure SageMaker Bedrock EKS / EC2 / S3 Kinesis Glue Data Lakes & Lakehouse MLflow Airflow MLOps / LLMOps Experiment Tracking CI/CD Pipelines Monitoring & Observability Docker Kubernetes Terraform
Full-Stack & Systems Engineering
Python Java Node.js React.js Spring Boot REST APIs Microservices Authentication Systems SQL / NoSQL Redis Kafka Jenkins JFrog DataDog Promotheus

LeetCode Achievements

Consistent learning through problem-solving and algorithmic thinking

365 Streak
365-Day Streak

Coding daily for one full year, showing commitment and discipline.

Ranking
Top Global Rank

Recognized in global competitive rankings among LeetCode users.

1000+ Problems
1000+ Problems Solved

Mastered a wide range of data structures and algorithms.

Badges
Milestone Badges

Earned elite badges in consistency, contests, and problem milestones.

Webinar

Building Tayal AI
on AWS

I recently delivered a live, hands-on session for DevOps Career Hub, architecting and deploying a real-world AI assistant.

This walkthrough covers the full lifecycle: from Python code to scalable cloud infrastructure using AWS Bedrock, Lambda, and API Gateway.

Watch Full Webinar
CONTACT

Let’s Connect

Have a project, question, or just want to chat? I’d love to hear from you!

+61 481 700 945

tayalarajan45@gmail.com