Hi, I'm Tayala Rajan—a full-stack web and API engineer with a passion for turning complex ideas into secure, scalable software. I have 4+ years of experience delivering AI-driven features across health, enterprise SaaS, and high-scale platforms. I excel at turning ambitious concepts into MVPs and pushing them into production with strong security, reliability, and observability. I enjoy building grounded, privacy-conscious AI solutions and collaborating with cross-functional teams to ship value quickly. My approach blends hands-on software engineering with AI workflows, including LLM-enabled features, RAG pipelines, and evaluation. I’m comfortable designing end-to-end data and AI pipelines on AWS, containerized with Docker and Kubernetes, and I value clear communication and stakeholder alignment to deliver practical, production-ready products.

TayalaRajan Thamodararaj Ramanujadurai

Hi, I'm Tayala Rajan—a full-stack web and API engineer with a passion for turning complex ideas into secure, scalable software. I have 4+ years of experience delivering AI-driven features across health, enterprise SaaS, and high-scale platforms. I excel at turning ambitious concepts into MVPs and pushing them into production with strong security, reliability, and observability. I enjoy building grounded, privacy-conscious AI solutions and collaborating with cross-functional teams to ship value quickly. My approach blends hands-on software engineering with AI workflows, including LLM-enabled features, RAG pipelines, and evaluation. I’m comfortable designing end-to-end data and AI pipelines on AWS, containerized with Docker and Kubernetes, and I value clear communication and stakeholder alignment to deliver practical, production-ready products.

Available to hire

Hi, I’m Tayala Rajan—a full-stack web and API engineer with a passion for turning complex ideas into secure, scalable software. I have 4+ years of experience delivering AI-driven features across health, enterprise SaaS, and high-scale platforms. I excel at turning ambitious concepts into MVPs and pushing them into production with strong security, reliability, and observability. I enjoy building grounded, privacy-conscious AI solutions and collaborating with cross-functional teams to ship value quickly.

My approach blends hands-on software engineering with AI workflows, including LLM-enabled features, RAG pipelines, and evaluation. I’m comfortable designing end-to-end data and AI pipelines on AWS, containerized with Docker and Kubernetes, and I value clear communication and stakeholder alignment to deliver practical, production-ready products.

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Work Experience

Data Scientist at Cancer Institute NSW
July 1, 2025 - November 1, 2025
Delivered an on-prem privacy-preserving AI Knowledge Assistant for internal PDFs, policies, web pages, and spreadsheets, producing grounded, source-linked answers without external APIs. Built a hybrid FAISS + ontology-driven Knowledge Graph and LangChain/LangGraph agentic flows to plan multi-step retrieval, enforce groundedness checks, and apply safe fallbacks. Deployed with Docker, Kubernetes, Terraform and traced using RAGAS + OpenTelemetry to track quality, citations, and failure modes.
Machine Learning Engineer at AirLabOne
June 1, 2025 - July 1, 2025
Built high-frequency telemetry ingestion for lab devices using AWS IoT Core + Kinesis, landing data to S3 and curating datasets with AWS Glue Data Catalog for traceable analytics. Enabled device health investigation and reporting with Athena + Redshift-backed datasets and service endpoints for operational dashboards. Deployed on Docker + EKS with Terraform and operationalised anomaly detection with MLflow, with monitoring via EventBridge/Lambda/SNS.
LLM - Python Engineer at Turing
August 1, 2024 - August 1, 2025
Evaluated and improved Google Gemini using SFT and RLHF/HFL workflows, focusing on reasoning quality, instruction adherence, and agentic behavior to guide iterative training decisions. Built automated quality gates to validate formatting and policy criteria at scale, improving dataset acceptance consistency. Engineered a high-throughput AWS data workflow (S3, Glue, Spark, Athena, Redshift, dbt) to ingest, validate, and query 15k–20k+ samples/day; containerised pipelines with Docker for reproducibility.
Security Software Engineer at Deneka IT
May 1, 2024 - November 1, 2024
Built ERP & CRM platform capabilities with multi-tenant onboarding and RBAC; implemented JWT-based SSO and RBAC across services. Integrated CRM pipelines with Google Contacts and Microsoft Outlook, using Snowflake as the hub to consolidate activity data for analytics-ready reporting. Implemented data quality logic (deduplication, conflict handling, incremental sync) and delivered APIs/services via Node.js/Express with CI/CD to support product iteration.
Software Development Engineer at Jio Platforms Limited (JPL)
November 1, 2022 - January 1, 2024
Built core modules of Jio SecureID, a multi-tenant digital identity + MFA platform, focusing on secure boundaries, reliability, and low latency under high concurrency. Implemented secure client onboarding using mTLS, API key exchange, and allowlists for authenticated access to REST endpoints. Delivered production readiness with Docker, Kubernetes, Terraform, and observability via Prometheus + Datadog to monitor latency, errors, throughput, and client activity.
Specialist Programmer at Infosys
November 1, 2020 - October 1, 2022
Built and enhanced Auto Data, a full-stack vehicle and compliance platform using Java/Spring Boot and React to support end-to-end operational workflows. Developed data engineering pipelines for high-volume vehicle/policy data using AWS services (S3, Kinesis, Glue, Athena, Redshift) to enable transformation and analytics-ready querying. Improved production readiness through JUnit testing, hardened microservice contracts, and deployment/monitoring using Docker, Kubernetes, Terraform/CloudFormation, Prometheus, and Datadog.

Education

Master of Science, Data Science at Macquarie University
February 1, 2024 - December 1, 2025
Bachelor of Technology, Information Technology at Sri Ramakrishna Engineering College
January 11, 2030 - January 24, 2026

Qualifications

AWS Certified Solutions Architect
August 1, 2025 - August 1, 2028
AWS Certified Machine Learning - Specialty
August 1, 2024 - August 1, 2027
AWS Certified AI Practitioner
January 1, 2025 - January 1, 2028
AI Agents Course (Hugging Face)
May 1, 2025 - January 24, 2026
Australian Visa: 485 Temporary Graduate Visa
January 11, 2030 - January 1, 2029

Industry Experience

Software & Internet, Healthcare, Professional Services, Life Sciences