Trissaan A Shanmugasundaram
AI/Data Scientist | LLM Systems | ML Pipelines
LLM APIs • Agentic Systems • ML Pipelines • Python • AWS Certified
Production AI engineer building LLM-powered automation agents, ML pipelines, and data quality frameworks. 2+ years designing data assurance systems and agentic AI workflows.
About Me
I'm an AI/Data Scientist specializing in production-grade LLM systems, ML pipelines, and data assurance frameworks. MS in Data Science (Deakin), AWS Certified Data Engineer, with 2+ years building enterprise AI/data systems.
I engineer data quality gates, anomaly detection systems, and observability frameworks for high-volume data workflows. Built agentic AI systems using LLM APIs, FastAPI, and Playwright. Developed SQL/Python pipelines processing 15,000+ daily records with automated validation.
Delivered production data systems for enterprise clients including Mondelez (~$2M), Nestlé, L'Oréal, and Asahi. Passionate about building reliable, observable AI systems and production-grade ML infrastructure.
Actively seeking roles in AI systems, ML engineering, data science, and AI assurance. Full Australian work rights (485 visa, valid to Feb 2028), Melbourne-based, open to relocation.
Location
Melbourne, VIC, Australia
Work Rights
Full Australian (485 visa, valid to Feb 2028)
Status
Open to Work
Skills & Expertise
AI & LLM Systems
ML & Data Science
Pipelines & Assurance
Data Engineering & Cloud
Certifications
✓ AWS Certified Data Engineer - Associate
✓ Master of Science in Data Science, Deakin University (2024)
Professional Experience
Data Scientist & Analytics Engineer
Packcentre Marketing Services
- ▸Pipeline Engineering & Quality Gates: Engineered SQL and Python data pipelines processing 15,000+ daily records with automated validation checks acting as quality gates
- ▸Anomaly Detection & Observability: Implemented systematic data validation and reconciliation workflows that detected anomalies and data drift early in pipeline lifecycle
- ▸Automated Testing & Workflow Automation: Replaced manual Excel processes with automated Python and SQL workflows, increasing reliability and reducing human error
- ▸Dashboard & KPI Instrumentation: Built Power BI dashboards with DAX-based KPI measures across financial, logistics, and client performance data
- ▸Cross-functional Delivery: Partnered with operations, finance, and C-suite to translate requirements into data products with clear acceptance criteria
- ▸Production System Ownership: Owned full lifecycle of reporting systems from schema design through deployment, documentation, and maintenance
- ▸Power Automate Integration: Built notification and distribution workflows, reducing manual handoffs and accelerating data delivery cycles
Project Engineer - Data & Automation
Wipro
- ▸Supported enterprise data migration project from legacy systems to AWS
- ▸Developed SQL queries for data extraction and validation across environments
- ▸Performed dataset reconciliation to ensure data integrity
- ▸Collaborated with senior engineers and stakeholders on complex migrations
- ▸Gained experience with enterprise-scale data integration workflows
Featured Projects
AI Job Application Automation Agent
End-to-end AI-powered platform that scrapes job listings, generates tailored resumes and cover letters using LLM APIs.
Enterprise Operations Data Platform
Relational data platform with normalised schema for enterprise operations, featuring ETL pipelines and analytics-ready datasets.
Speech Emotion Recognition using CNN
Machine learning model that detects human emotions and affective states from speech using convolutional neural networks.
Autonomous Warehouse Robot
Prototype of an automated robot using computer vision for warehouse operations with minimal supervision.
Heart Disease Prediction Model
Machine learning classification model for predicting heart disease risk using health indicators.
Parkinson's Disease Prediction
Applied ML classification models to biomedical gait sensor data for predicting Parkinson's disease progression.
Road Sign Classification
Deep learning model using convolutional neural networks for traffic sign recognition and classification.
Check out more projects on GitHub
Visit GitHub ProfileEducation & Certifications
Master of Science in Data Science
Deakin University
Bachelor of Engineering - Electronics & Communication
Anna University
AWS Certified Data Engineer - Associate
Amazon Web Services
Specialized Training
Coursework included advanced data science, machine learning algorithms, statistical analysis, big data processing, cloud computing, and generative AI applications.
Open to Work
Actively Seeking
Recently transitioned out of my previous role and am actively exploring opportunities in:
- ✓Data Science
- ✓Machine Learning Engineering
- ✓Generative AI
- ✓Data Engineering
Quick Facts
- 📍 Location: Melbourne, VIC (Open to relocation)
- 📄 Work Rights: Full Australian (485 visa, valid Feb 2028)
- 🎓 Education: MS Data Science (2024)
- 🏢 Experience: 2+ years enterprise analytics
- 📧 Email: trissaan@gmail.com
- 📱 Phone: 0434 549 364
What I'm Looking For
- ▸Building machine learning models and data pipelines
- ▸Designing and optimizing data architectures
- ▸Creating AI-powered automation solutions
- ▸Leading analytics projects end-to-end
- ▸Collaborating with cross-functional teams
- ▸Translating data into business insights
Job Search Resources
Ready to Discuss Opportunities?
I'm eager to talk about how I can contribute to your team's data science and AI initiatives. Reach out directly or connect on LinkedIn!
Blog & Articles
Insights on data science, machine learning, and AI development.
Building Production ML Pipelines
Lessons learned from building scalable machine learning systems in production environments.
Optimizing Power BI Performance
Best practices for designing efficient data models and improving dashboard performance.
Generative AI for Data Analysis
How to leverage LLMs and generative AI to accelerate data analysis and insights.
Blog articles coming soon!
I'm working on detailed articles about my experiences with ML engineering, data architecture, and AI applications. Subscribe for updates.
In the meantime, check out my GitHub projects and LinkedIn for updates on my work.
Let's Connect
I'd love to discuss opportunities, collaborate on projects, or just chat about data science and AI.
About Me
Location
Melbourne, VIC, Australia
Quick Facts
- • MS Data Science (Deakin, 2024)
- • AWS Certified Data Engineer
- • 2+ years enterprise analytics
- • Full Australian work rights
- • Open to relocation
Ready to Work Together?
Whether you have a job opportunity, project collaboration, or just want to chat, I'm always open to connecting with fellow data enthusiasts!
Send Me an Email© 2024 Trissaan A Shanmugasundaram. Built with Next.js, Tailwind CSS, and Framer Motion.
Also view my portfolio on datascienceportfol.io