Sidharrth Nagappan

Data Research

Distinction · 84% · Ranked 9th / 60

• Supervised by Prof. Mateja Jamnik and Dr. Nikola Simidjievski in the Artificial Intelligence Group.
• Awarded the Jardine Scholarship, a highly selective, full-ride merit scholarship.

• Engineered real-time streaming infrastructure using Kafka, MSK and Apache Iceberg to ingest and process 1.8 × 10¹² rows of financial telemetry into a centralised lakehouse, servicing high-throughput ML workloads.

• Built regression frameworks for non-invasive preoperative planning, mapping high-dimensional anthropometric data to volumetric estimates with 81.8% R², reducing patient reliance on MRI imaging at the University of Malaya Medical Center.Teo et al. · Health Information Science and Systems, 2026 ↗
• Built Audio Spectrogram Transformers fused with CNNs for speech-based depression detection; improved baseline accuracy by 16% in data-constrained settings.Nagappan*, et al. · APSIPA, 2023 ↗

• Parallelised hotel recommendation microservices in TensorFlow and Vertex AI, optimising inference graphs to reduce p99 latency by 40%; built automated Airflow DAG generators that accelerated pipeline provisioning by 80%.

CGPA 3.99 / 4.00 · Ranked 1st / ≈250 graduates