Aditya SureshAditya Suresh

2025 - Present

Self-employed

AI Engineer

Sydney, Australia

• Designed SkyBook AI as a full-stack agentic travel system, turning natural-language trip requests into structured search flows, API-backed offers, and resilient price-tracking workflows
• Building PolicyPilot RAG, an enterprise HR policy assistant that converts unstructured policy documents into context-aware answers with semantic retrieval, employee metadata filtering, and source-backed responses

2023 - 2025

University of New South Wales

Master of Information Technology - Artificial Intelligence

Sydney, Australia

• Achieved WAM: 81 - Excellence with a focus on AI, machine learning, data systems, and applied software engineering
• Built practical depth across neural networks, computer vision, NLP, statistics, databases, and modern web systems
• Delivered applied university projects across biomedical NLP, computer vision, analytics, and production-style applications
• Contributed beyond coursework through Arc volunteering, Wellness Warriors, Culture Café, and student community programs

2020 - 2023

Infosys

Specialist Programmer

Technopark, India

• Top 1% at Infosys - selected into the Power Programmer track and trusted with complex, business-critical engineering work for enterprise clients
• Owned offshore delivery for a Fortune 500 rail client, bridging stakeholders, engineering teams, and production operations across high-volume data systems
• Built scalable data workflows across Python, SQL, Snowflake, and AWS, turning large operational datasets into reliable analytics foundations
• Developed predictive and optimization models for routing efficiency, asset utilization, anomaly detection, and decision intelligence
• Deployed production-grade training and batch inference pipelines across AWS S3, EC2, Lambda, SageMaker, and Athena
• Improved workflow reliability by productionizing ML pipelines with MLflow, Docker, Kubernetes, Jenkins, and GitHub Actions, cutting manual validation effort by 40%

2016 - 2020

APJ Abdul Kalam Technological University

Bachelor of Technology - Computer Science and Engineering

Trivandrum, India

• Campus-selected by both Infosys and TCS, converting CS fundamentals into early enterprise engineering opportunities
• Developed depth across algorithms, databases, machine learning, and software engineering - the systems base behind my later AI/data work
• Gained early industry exposure at Flytxt, a telecom-focused company using analytics and AI/ML concepts around customer engagement, retention, and lifecycle intelligence
• Delivered a final-year stock market prediction platform using RNN-LSTM models to transform historical market data into prediction-driven dashboards