Sign in Development Engineer Intern)

Irvine, CA
January 11, 2020

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Irvine, California +1-949-***-**** OBJECTIVE

A passionate new grad seeking full-time opportunities, with prior experience in Software Development, Cloud Operations, DevOps and an aim to learn technologies and progressive vision to contribute towards the growth of the organization. EDUCATION

University of California, Irvine September 2018 – December 2019

M.S in Computer Science, Networked Systems, GPA: 3.51 Relevant Courses: Computer Networks, Machine Learning, Artificial Intelligence, Middleware for Networked and Distributed Systems Dayananda Sagar College of Engineering, India 2012 – 2016

B.E in Computer Science

WORK EXPERIENCE, San Diego Software Development Engineer Intern (June 2019 – September 2019)

Developed new notifications as part of the Amazon’s UltraFastFresh program and relevant changes in the Notification event management architecture

Wrote use cases in JAVA, GitHub was used for version control. JUnit, Mockito JAVA testing frameworks were used for testing

Designed the UI for the notifications using FreeMarker template language Immerse, Irvine DevOps Intern (January 2019 – March 2019)

Designed the infrastructure using AWS Cloud Formation, deployed development and production environments as Kubernetes cluster on AWS EKS. Used Helm Charts as the package manager and automated deployments using ansible. Pegasystems, Bengaluru Technical Solutions Engineer – Cloud Operations (2016 - 2018)

Actively managed, improved, and monitored cloud infrastructure on AWS, EC2, S3, and RDS, including backups, patches, and scaling

Wrote and maintained custom shell scripts to increase system efficiency and lower human intervention time on tasks, Upgraded all the infrastructure API’s and cloud servers as per security policies University of California, Irvine Graduate Teaching Assistant (September 2018 – December 2019)

Teaching Assistant for Data Structures in C++, Probability, Statistics, Boolean Algebra and Logic

Responsibilities include conducting office hours to answer students doubts, holding discussion sessions, designing question papers and grading exams


Operating Systems: Windows, Linux

Programming Languages: C, C++, Java, Python

DevOps Practices: Ansible, AWS EKS, Kubernetes, Jenkins, Helm Charts

Other technologies: Amazon Web Services, SQL, Shell scripting, GitHub, Docker containers PROJECTS

Distributed Broker Network System in Cloud

Containerized Distributed Brokers Nodes in a highly scaled, Publisher Subscriber based Emergency notification system and deployed them on the cloud

Tech expertise – AWS Services, Docker Containers, GCP Container Registry Analysis of the Street View House Numbers dataset

Preprocessing the SVHM data set using t-Distributed Stochastic Neighbor Embedding technique

Leveraged Convolutional Neural Networks and Deep Learning techniques to tackle the problem of classifying the SVHN digits as accurately as possible

Conducted experiments using Stochastic Gradient Descent algorithm, Adam Optimizer, and Dropout technique to arrive at the right model for feature extraction and image classification Tech expertise – Python, TensorFlow’s Embedding Projector Inference Technique for Analysis of Video Footage to Detect Anomalous Activities

Aimed to develop an intelligent surveillance system that detected anomalous activities in retail domain

The system generated warnings on detection of a suspicious person / activity Tech expertise - HTML, PHP, Bootstrap, Jess engine, XSLT processing CERTIFICATIONS

Pega Certified System Architect

AWS Certified Solutions Architect – Associate

Oracle Certified Professional, Java SE Programmer

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