Jan 2018 – May 2018 · 4 mos

• Designed and developed real-time audio detection system with multiple Raspberry Pis to detect drones by sound using machine learning algorithms.
• Trained Convolutional Neural Networks and Support Vector Machines with various sound features
• Made dashboards monitoring detection rate using ElasticSearch and Kibana
• Deployed six Raspberry Pis in the field 50-100m apart and tested the real-time detection

Aug 2017 – Dec 2017 · 4 mos

• - Teaching assistant for an introductory Java course

Aug 2016 – Aug 2017 · 1 yr

• Configured proxy remote filesystem with NFS and NFS-Ganesha
• Analyzed bandwidth and latency of the proxy remote filesystems using IOzone and MDtest
• Conducted network performance test between Purdue clusters using Iperf and Netperf
• Tested on backup using AWS Glacier

Oct 2017 – May 2018 · 7 mos · West Lafayette

• Designed and implemented REST endpoints
• Helped building distributed systems.
• Managed API/authentication/database servers. Wrote server monitoring tools

Sep 2014 – May 2016 · 1 yr 8 mos

• Research on nonintrusive load monitoring(NILM), energy disaggregation, artificial intelligence
• Improved performance of an electricity load monitoring system by 7-8 % by providing correlation information to a factorial hidden Markov model - statistical machine learning and pattern recognition
• Integrated into a real-time pattern recognition system in C++ and Python
• Published one journal paper and a conference paper on the improved model