OBJECTIVE

Seeking a position where I can efficiently contribute my knowledge, skills, and abilities for the growth of the organization and build my professional career with dedication and hard work. ACADEMIC DETAILS

Degree/Course Institution Year of Passing Percentage / CGPA

B.E./COMPUTER

ENGINEERING

N.Y.S.S. DATTA MEGHE COLLEGE OF

ENGINEERING, Airoli 2020 8.12 CGPA

H.S.C ROYAL JR COLLEGE, Dombivali 2016 72.46%

S.S.C SAI TRUST SECONDARY ENGLISH

SCHOOL, Dombivali 2014 84.40%

WORK EXPERIENCE

H-Bots Robotics (June 2020 - Present)

~ Role: DevOps Cloud Engineer and ChatBot Developer (Full-Time)

~ My Job as a DevOps Cloud Engineer is to deal with entire Cloud Infrastructure system of my company whenever new project is assigned, Worked on setting up Live system on-premises and cloud hosted both as per company use-case. Worked on various AI Robots by building models and helping with integration for Robots with Amazon AWS and ROS software.

~ As a Chatbot Developer, My job is to deal with chatbot development and deployment from scratch to advance using Dialogflow, voice-apps, rasa, python and django framework. Worked extensively to build various chatbots for clients from various industries.

Katonic.ai Pyt Ltd. (August 2020- September 2020)

~ Role: AIOps Engineer (Contractual Work)

~ My Job was to deal with building platform which can solve Chain Risk and Incident Rise Predictions problems faced by companies by using Technologies Like Kubeflow, Amazon Web Services, Ansible, Service Now, App Dynamics, and etc.

LinuxWorld Informatics Pvt. Ltd. (July 2020 - August 2020)

~ Role: Hybrid MultiCloud Student Intern (Training and Internship)

~ In Hybrid Multi Cloud Internship, Experienced and learned various technologies like Amazon AWS services, Amazon AWS - EKS & EFS, OpenStack, GCP, Kubernetes, Terraform.

~ Integrated all technologies to build Infrastructure as Code(IAC) to build entire infrastructure with just one click and built Multi-node and Farget cluster using EKS and scaled it using ELB and stored in EBS. Projects:

- Amazon EKS service to deploy WebApp: https://bit.ly/RG-eksproj

- Terraform to build IaC: https://bit.ly/RG-terraIaC

- Setup WEbserver using AWS EFS Service: https://bit.ly/RG-EFS

LinuxWorld Informatics Pvt. Ltd. (May 2020 - July 2020)

~ Role: DevOps Assembly Lines Student Intern (Training and Internship)

~ Under DevOps Assembly Lines Internship learned and used my skills related to DevOps tools like Github, Jenkins for CI/CD, Groovy, Docker, Podman, Kubernetes, Openshift for automation and Also monitoring was done by ELK Stack for Log Monitoring, Prometheus, Grafana and Chrome Extension for Metrics Monitoring.

~ Used Assembly Lines plugins like Delivery, Build and Pipeline for Developer and Master Insights. Developed Multi-node clusters and Developer Integration like 6 projects to solve real-world use cases and one complete project which covers all DevOps concepts. Projects:

- WebApp deployment using Docker-Compose: https://bit.ly/RG-Docker

- Kubernetes & Jenkins: https://bit.ly/RG-KubeJen

- Docker & Jenkins T2: https://bit.ly/RG-DockJen

ROHIT GHUMARE

08, Gaondevi Prasad Soc.,

Dombivali-West, Thane-421202

E-mail: adi2gp@r.postjobfree.com

Mobile no: 828-***-****

https://www.linkedin.com/in/rohit-ghumare

https://medium.com/@ghumare64/

https://www.hackerrank.com/Rohit_Ghumare

https://github.com/rohitg00

LinuxWorld Informatics Pvt. Ltd. (April 2020 - May 2020)

~ Role: MLOps Student Intern (Training and Internship)

~ It was world’s first MLOps (Machine Learning on DevOps) training and Internship program, Learned various skills related to Machine Learning, Deep Learning, Data Analysis and Data Visualization techniques using Python, Computer Vision, Deployed ML and DL models using DevOps tools like Docker, Jenkins, Github, and Kubernetes for AutoML to solve real world use-case of manual work by Data Scientist.

~ Also made one complete project and around 6 tasks which covers every concept related to Machine Learning on DevOps.

Projects:

- Docker & Jenkins T1: https://bit.ly/RG-JenDock

- Supervisely on AWS: https://bit.ly/RG-nocodeML

- MLOps for Machine Learning Automation: https://bit.ly/RG-mlops

Crio Launch (Feb 2020 - April 2020)

~ Worked as a Student Developer at crio.do for Crio Launch program i.e. is a 10-week online merit-based applied to learn program to acquire skills in Java, Databases, Maven Repo, OOPs, Rest API, Jackson, Gradle, Code Refactoring, Applied Data Structures, Linux, OS & Networking, and more. It provides projects as curated modules that together form three types of products QBox, QMoney, and QCharm which helped me to learn by doing.

~ Completed being a Teaching assistant at crio.do by working for 85 hours and achieving the Completion Certificate for the same. Currently working as Lead Teaching assistant at crio.do in which mentoring students and other TAs solving problems like removing errors, providing hints and step by step approach to achieving their milestones.

Projects:

- Verified Portfolio: https://criodo.github.io/Crio-Launch-Feb-2020-ghumare64/

- Graduation Certificate: https://bit.ly/RG-criocerti

GSC - Infotech (Dec 2020-March 2020)

Build two projects during this internship role viz. Mask and Gun Detection using Deep Learning with Computer Vision in Python for ATM Security System project, and other project was based on Self- driving Car System, where developed Object detection algorithm for Cars, Traffic lights and etc. PROJECT DETAILS

1. PREDICTION OF DISEASE & PESTICIDES USING IMAGE PROCESSING OF UNHEALTHY CROPS (March 2020)

In this project, our aim was to make a application which can be used by farmers to detect the disease affected unhealthy crop by just clicking the image of the leaf of that plant and then using CNN (TF+Keras) model made from scratch(accuracy 95%) connected to Application developed using flutter will show the Confidence, Disease and Pesticides recommendation to cure the disease.

Technology Used: Python, Google Colab Notebooks, Tensorflow, Keras, CNN, Flutter 2. DISEASE PREDICTION USINGMACHINELEARNING (March 2019) In this project, our aim was to predict the diseases of a person by providing various types of symptoms. We used two types of algorithms viz. Naive Bayes and Decision tree for classification of classes to predict the disease.

Technology Used: Python, Jupyter Notebook, Tkinter CERTIFICATIONS

• Coursera certified Introduction to Data Science Specialization by IBM.

• Certification for Introduction to Machine Learning Nano-Degree program by Udacity.

• Edugrad Intro to Database Tools and Python for Data Science course.

• RedHat Training Certification for Ansible for Automation (RH294).

• RedHat Training Certification for Introduction OpenShift Applications (DO101).

• MLOps and DevOps Assembly Lines Training Certification by LinuxWorld Informatics Pvt. Ltd. TECHNICAL SKILLS

• Programming Languages: Python(most preferred), C, C++, Groovy

• Web Development: HTML, CSS, Bootstrap, PHP

• Database: MySQL, IBM DB2, DynamoDB, Amazon S3

• Operating Systems: Windows, RedHat Linux, CentOS, Ubuntu, Amazon Linux 2. ACHIEVEMENTS/PARTICIPATION

At International Event PRISM 2020, Got recognized as 2nd prize for Agri-Tech Project mentioned above.

Honored by Best Student of The Year Award in School.

Participated in various Coding Leagues & Events by Hackerrank in College.

IBM Badges: Python for Data Science Badge, Data Science Foundation Specialist Badge.

Silver Badge for Problem Solving & Gold Badge for Python Challenge on Hackerrank.

Achieved various Badges & Quests of Google by completing challenges and labs fromQwiklabs.

Data Science Mentor Role for TechTable and Student CodeIn tech.

Crio Lead Teaching Assistant and Core Team member for Crio Dev Community. POSITION OF RESPONSIBILITY

Planning Head – Computer Society of India Student Branch (July 2019 – June 2020)

Co-Founder and Data Science Mentor – Start-up from IIT Madras (Dec 2019 – June 2020)

Founder - Trainings&Internships (Nov 2019 - Present)

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