/Resume

Experienced Software Engineer with a demonstrated history of working in the industry. Skilled in Python, C, Golang, MySQL Database, Requirements Analysis and Machine learning. Strong engineering professional with a Master's degree focused in Computer Science from Northern Illinois University.

Experience

Software Engineer III, Cisco Systems

Jun 2015 – Present

Zero Touch Provisioning Technologies - Python, shell

  • Automates the process of provisioning the routers with Day 0 configurations, reducing the operational costs.

SPNAC TechnologiesGo, InfluxDB, Kapacitor, Docker

  • Closed-loop Network automation using telemetry data from switches.
  • A network health monitoring app with auto remediation.

Telemetry TechnologiesC, Python.

  • Designed and implemented infra and backend for event/data collection on Nexus devices.

Java Developer, Kavi Associates

Jun 2013 – Jun 2015

Locomotive Road Failure Prediction TechnologiesCloudera, SpringMVC, Hibernate, Spark, SAS

  • Implemented data collection and aggregations tools to gather real-time data from various locomotive sensors and streamed them to HDFS.

Pretium Technologies - Java, Python, Scala, Spring MVC, Ajax, Hibernate, HighCharts.

  • Implemented a rule engine to define data preprocessing, cleaning rules.
  • Automated data collection, cleaning, integration, ETL and visualizations by auto generating scripts from a predefined set of rules.

Full-Stack Developer ,XL Academics Technologies - php, mysql, amcharts

Feb 2012 – May 2013

  • Implemented messaging system, financial manager and spend analyzer to allow users to create budget, create savings goals, track expenses and visualizations.

Education

  • MS in Computer Science - Northern Illinois University (GPA – 4.0/4.0)

May 2013

  • Bachelor of Engineering - JNTU Kakinada, India (GPA – 3.6/4.0)

April 2011

Technical Skills

  • Languages: C, Go, python, Java, Objective-C, SQL, PHP, JQuery
  • Databases: MySQL, PostgreSQL, InfluxDB, Prometheus.
  • ML/ DL Frameworks: Tensorflow, tflearn, keras, scikit-learn.
  • Key Areas: Data Structures and Algorithms, Linux, Neural Networks, Deep Learning
  • Cloud Technologies: Docker, AWS(EC2), Google cloud platform.

Certifications

  • Deep Learning Nano Degree Foundation Program
  • Cloudera Certified Administrator for Apache Hadoop (CCAH)

Side Projects