CV

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Education

• Ph.D in Computer Science, Syracuse University, 2023 (expected)
• M.S. in Computr Engineering, Stevens Institute of Technology, 2019
• B.E. in Biomedical Engineering, University of Mumbai, 2017

Work experience

• Research Assistant, S4Lab, Syarcuse University August 2020 - Present
  • Storage Systems Research. Currently working on NSF grant – CPR for Flash-Based Storage Systems under Prof. Bryan Kim.
  • Studying big data Key Value databases like LevelDB, RocksDB, Redis in depth in order to advance the database field.
  • Researching ways to make distributed storage more resilient and intelligent to understand heterogeneity and ageing of SSDs.
  • Developing an open source tool for remote monitoring of storage devices like SSD’s to study their Performance and Reliability.
  • Supervisor: Professor Bryan Kim
• Software & Data Engineer, Practo Technologies June 2019 - September 2020
  • Developed and maintained the user behavior and events ingestion pipeline that forms the backbone of Data Analytics, Machine Learning and powers the Recommendations infrastructure at practo.com.
  • Worked on bringing in depth visibility on the production Kubernetes cluster using Prometheus, Grafana
  • Deployed and maintained Apache Airflow on Kubernetes in a novel configuration; Wrote in house libraries & deployment automations.
  • Developed ETL workflows for massive data cleaning operations; trained the business analytics teams on ETL (Extract Transform Load)
  • Managed a multi-terabyte, production, database cluster for efficient data analysis, built data visualization tools for analysts.
  • Supervisor: Abhinav Lal, CEO, Practo Technologies
• Software Engineering Intern, Delos Labs, Delos Living June 2019 - September 2020
  • Designed and implemented a cloud native system for a cloud connected IoT platform.
  • Working with an R&D team at Delos Labs, my work included designing and building cloud-based infra and IoT tools to build an indoor wellness ecosystem.
  • Developed a data pipeline to record data from a heterogenous set of wearables and Environmental sensors (1000 data pts/hr). This forms the backbone of the POC and research evaluation efforts at the R&D lab to create advanced models of human stress and sleep. This data also powers the Machine learning efforts in home automation.

Skills

• Core
  • Systems Engineering
  • Operating Systems
  • Databases
  • Distributed Systems
  • Data engineering
  • Flash based storage
  • IoT
• Language Expertise
  • C
  • C++
  • Python
  • Java
• Systems
  • Unix File Systems, RAID, NVMe
  • LevelDB, RocksDB
  • Kubernetes, Nginx
  • Apache
    • Airflow
    • Kafka
    • Hadoop

Publications

Home Automation Using Wi-Fi and Sensor Networks

Bhatt Parth, Desai Omkar. (2017). "Home Automation Using Wi-Fi and Sensor Networks" DJSCE Technofocus. ISSN:2321-0532.

Talks

ALEX: An Updatable Adaptive Learned Index

September 18, 2020

Talk at Syracuse University, EECS, Syracuse, New York

A Study of SSD Reliability in Large Scale Enterprise Storage Deployments

October 30, 2020

Talk at Syracuse University, EECS, Syracuse, New York

DeuceDB: Smarter categorizing and scheduling to amortize background IO costs in LevelDB

November 07, 2020

Talk at Syracuse University, EECS, Syracuse, New York

Service and leadership

• Contributer at Apache Airflow (https://github.com/apache/airflow). See my Pull Requests
• Contributer at iovisor bcc (https://github.com/iovisor/bcc). See my Pull Requests