New Updated Resume

1. Shashikumar K L raghavshashikumar@gmail.com
+91-9738528589
+91-9663145329
PROFILE SUMMARY
 5 months of experience in Continuous Integration and Continuous Delivery using the Jenkins.
 Hands on experience with some frameworks like Django, Spring and hibernate.
 Hands on experience of Build tools to deploy application using Maven and Ansible.
 Strong hold on SQL and PL/SQL.
 Knowledge on Data Structures, Algorithms, and OOPS concepts.
 Knowledge on Automation Testing.
 Strong knowledge on Java and Python.
WORK EXPERIENCE
CME GROUP
INTERNSHIP(FEB 2019 - JUNE 2019)
 Jenkins pipeline adoption
* Development of Continuous Delivery Pipeline to deploy various application in non controlled
and controlled environment.
* Tools and Technology used - Jenkins, Ansible, BitBucket, Chef, Git, Nexus repository, Groovy,
JSON,YAML.
 Cucumber smoke test / Dynamo Adoption
* Development of Smoke Testing pipeline to check deployment.
* Tools and Technology used - Jenkins, BitBucket, Git, Cucumber, JSON.
-- Benefits
* Reduced overhead on Operations and Development teams.
* Greater efficiency through automation of Saturday check-out testing.
* Reduced overhead on Development team through automation of build process from code check-in.
EDUCATIONAL DETAILS
Master of Computer Applications
RV College of Engineering, Bangalore.
CGPA: 8.54
Aug 2016 - June 2019
Bachelor of Computer Applications
Vivekananda Institute of Management, Bangalore.
Percentage: 79.5%
July 2013 - May 2016
TECHNICAL SKILLS
Software and programming skills Java, Python, C, Django, Spring, hibernate, PL/SQL
Database MySQL, oracle 11g, Firebase
Tools and Technology Maven, Git, Ansible, Selenium, Jenkins

2. PROJECTS
WEB APPLICATION
SecureMedi
* The projects aims at developing a web application to provide medication to patient and store
medication details in chain fashion.
* Roles - FrondEnd Development, Connect to Firebase Realtime Database, Hosting it using Firebase
hosting.
* Tools and Technology - Bootstrap, HTML, CSS, JavaScript, Firebase CLI.
IOT APPLICATION
Face and object Recognition system for visually challenged people
* The projects aims at developing a product which helps visually challenged people to recognize and
detect the object and faces.
* Roles - Design the prototype model, training the model with datasets.
* Tools and Technology - Raspberry PI 3 model B, Camera Module, speaker Module, Ultrasonic
Sensor.