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.
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.
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.
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.
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.
Academic Background & Learning Journey
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
Bachelor of Technology, Information Technology
Aug 2016 – May 2020
CGPA: 6.76
Core Skills: App Development, Software Lifecycle, Networking, DBMS, Frontend & Backend Systems
Fine-tuned large language models, built RAG systems, and deployed adaptive AI agents using Python, LangChain, and MLOps best practices.
Solved over 1000 problems, demonstrating advanced mastery of algorithms, data structures, and consistent daily commitment.
Achieved three AWS certifications: Solutions Architect Associate, Machine Learning Specialty, and AI Practitioner. Validates expertise in designing scalable cloud systems, building and deploying machine learning models, and implementing AI-driven solutions on AWS.
Developed a predictive model for loan default using SAS Viya, showcasing business insight generation from real-world datasets.
Fine-tuned large language models, built RAG systems, and deployed adaptive AI agents using Python, LangChain, and MLOps best practices.
Solved over 1000 problems, demonstrating advanced mastery of algorithms, data structures, and consistent daily commitment.
Achieved three AWS certifications: Solutions Architect Associate, Machine Learning Specialty, and AI Practitioner. Validates expertise in designing scalable cloud systems, building and deploying machine learning models, and implementing AI-driven solutions on AWS.
Developed a predictive model for loan default using SAS Viya, showcasing business insight generation from real-world datasets.
Key focus areas aligned with industry innovation and career vision
Deploying scalable AI solutions on AWS using services like SageMaker, Kinesis, and Bedrock.
Fine-tuning LLMs, building RAG pipelines, and deploying adaptive AI agents for production.
Transforming data into actionable insights with Python, EDA, ML models, and statistical methods.
Building supervised and unsupervised models using PyTorch, TensorFlow, and scikit-learn.
Automating build, test, and deployment pipelines with Docker, Kubernetes, and CI/CD tools.
Technical competencies across Generative AI, data systems, and cloud engineering
Consistent learning through problem-solving and algorithmic thinking
Coding daily for one full year, showing commitment and discipline.
Recognized in global competitive rankings among LeetCode users.
Mastered a wide range of data structures and algorithms.
Earned elite badges in consistency, contests, and problem milestones.
A hands-on walkthrough of creating and deploying an AI Assistant on AWS
I recently delivered a live, hands-on webinar for DevOps Career Hub, where I showcased how to architect and deploy a real-world AI assistant — Tayal AI — using the power of AWS cloud services.
The session was practical, innovative, and focused on building and shipping production-ready AI products.
Watch Full WebinarHave a project, question, or just want to chat? I’d love to hear from you!
+61 481 700 945
tayalarajan45@gmail.com