I have completed MS in CS at USC.
I work at Coinbase as a ML Engineer.
I enjoy learning, exploring and building things realted to
Machine Learning!
Publications
Trajectory Forecasting of Entities using Advanced Deep Learning
Techniques, KH Apoorva, R Dhanya, AK Anjana, S Natarajan - Springer AISC Series. ICACCP 2017 - Springer 2017.
Workload characterization and green scheduling on heterogeneous
clusters, A Jivrajani, D Raghu, KH Apoorva, HL Phalachandra, D Sitaram. - IEEE 2016 22nd Annual International Conference on
Advanced Computing and Communication (ADCOM)
Information Retrieval as a Domain: Visualizations Based on
Two Data Sets, KS Raghavan, KH Apoorva, A Jivrajani - Knowledge Organization(KO) v. 42 no. 8 2015.
Ontology-based Retrieval system for Hospital Records, A Jivrajani, KH Apoorva, KS Raghavan -
14th International ISKO Conference 2016 - Knowledge Organization(KO).
Dynamic Models for Entity Trajectory Prediction using Deep Learning, D Raghu, KH Apoorva, AA Kumar, S Natarajan -
10th ICCSIT 2017 - To be published in Journal of Computers (JCP).
Awards
MITACS Scholar Fellowship - Received MITACS Globalink Research International Fellowship 2016, one among 100 researchers in India and 500 across world.