• Dashboard development for user‐behavior and cohort analytics using REST architecture, Presto, complex SQL. • Migrated a service from Django to Falcon which helped in reducing the SLAs by 35%. • Improved code efficiency by 25% by stocking commonly used APIs.

Python

Falcon

MongoDB

<ul><li>Worked on low memory‐footprint and fast startup‐time based Soc with limiting memory by 65%.</li><li>Implemented aggregated features to minimize the CPU loads and accelerate data streams for a L3 packetprocessor for scaling to 5G tput‐rates(7 ̃GBps).</li><li>Drove bringup in several premium tier and value tier QCOM chips(SDM8*, SDM7*) for packet accelerator driver.</li><li>Initiated upstream upgrade of a downstream QC Modem driver for Chromebook and scaled 20% faster CPUperformance.</li><li>Programmed v4 to v6 address translation for data pkts for v6 only networks. SoC bringup.</li></ul>

Embedded Systems

App Dev

Firmware

Bash

<ul><li>Toolkit development for Log‐monitoring and security information. and event management(IBM Qradar, HP ArcSight).</li><li>Reduced man power and cost for operations by 0.6 factor.</li><li>Implemented features like Failover errors, CPU Utilization.</li><li>Deployment in Cisco and CheckPoint Firewalls, Bracuda WAF, BlueCoat and IronPort Proxy.</li></ul>

Flask

MySQL

Docker

Elasticsearch

• Updated an android app to include rich UI(fragments). • Upgraded functionality to make app dynamic • Created chat interface using Firebase SDK. • Integrated Retrofit for network layer

Android

Java

Retrofit

Firebase

Backend dev, Python 

A machine learning model which is single end‐to‐end system consisting of lexical and similarity features fed through a multi‐layer perceptron with one hidden layer

Praveen Kurapati

Backend dev, Python