Prabhat Raghav | DevOps Engineer

Hi, I'm Prabhat Singh Raghav

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"Seeking a challenging position as a DevOps Engineer to leverage my experience in automating and optimizing cloud based application deployments. I offer strong skills in CI/CD pipelines, containerization, and infrastructure provisioning."

About

"I aim to drive innovation in an environment that nurtures my skills, promotes continuous learning, embraces new challenges, and fosters personal, professional and organizational growth."

As a Computer Science graduate with a Bachelor's in Computer Application from Sikkim Manipal University, I combine fast learning abilities with a strong work ethic. I consistently go above and beyond to ensure project success, dedicated to developing and implementing robust, scalable, and efficient solutions. Currently, I'm expanding my expertise in DevSecOps and Cloud-DevOps to stay at the forefront of cloud computing and security. My hands-on experience spans a wide range of DevOps tools and major cloud platforms including AWS, GCP, Azure, and Digital Ocean.

Highly motivated DevOps professional, proactive in solving cloud-based challenges, with a passion for automating infrastructure and a keen curiosity for continuous learning in cloud technologies and CI/CD practices.

Education

Sikkim Manipal University

Gangtok, Sikkim

Degree: Bachelor of Computer Application (BCA)
Year: 2013-2015
Percentage: 71.12% aggregate

Relevant Courses:

Programming in C
Java Programming
Computer Networking
Data Structures and Algorithms
Database Management Systems
Multimedia and Graphics
Advanced Web Design
Software Project Management

Central Board of Secondary Education

Delhi, India

Certificate: 10+2/Intermediate
Year: 2000-2001
Percentage: 62.2% aggregate

Central Board of Secondary Education

Delhi, India

Certificate: 10^th/Matriculation
Year: 1998-1999
Percentage: 63.8% aggregate

Experience

Zhiffy

Software Engineer

Developed and managed the backend of an e-commerce platform using Flask, MongoDB, and AWS.
Worked on three web applications targeting customers, selling vendors, and admin users; built 50+ RESTful APIs with functionalities such as login/sign up, view a product, add a product to cart, checkout the order, etc.
Improved the response time by 20% by refactoring the codebase and changing database design and queries.
Added a bulk upload feature which reduced the manual work of adding products into a database.
Tools: Python, Flask, MongoDB

July 2020 - Nov 2020 | Hyderabad, India

Meditab

Programmer Analyst

Customized a tree-based optimization algorithm that separates drugs into distinct groups to maximize the concurrent execution of drug dispenser robots; improved an optimization algorithm that reduced the cycle-time of the automation process by 25%.
Devised a customized recursion algorithm to extend the functionality of the current environment to a multi-robot and multi-system environment
Built a modular video analytics app using Flask, OpenCV that tracks the location of each human in a multi-camera environment; utilized perspective transformation, object detection, and object tracking to find the location of a human.
Increased the speed of the video analytics app by 20% by using a customized YOLOv3 algorithm to perform object detection and DeepSORT algorithm for multi-object tracking.
Tools: Python, Flask, OpenCV, Keras, Tensorflow, PyTorch

Dec 2018 - July 2019 | Ahmedabad, India

Mtag Innovations

DevOps Engineer

Programmed a cloud-based web app using Flask and JavaScript aimed at storing, visualizing, and tracking temperature and humidity of each drug container to estimate the degradation of the drug.
Created an alert system to send notifications and emails when the parameters exceed the threshold.
Tools: Python, Flask, JavaScript

July 2018 - Nov 2018 | Ahmedabad, India

CIGNEX Datamatics

Project Trainee

Designed a library management system for a local library, where we undertook activities like requirement elicitation, preparing Data Flow and Entity-Relationship diagrams.
Delivered a solution for a POC involving Automatic Financial Document Classifier using Natural Language Processing and Support Vector Machines with 96% accuracy on the company’s data.
Tools: Python, Scikit-learn, NLTK

June 2017 - July 2017 | Ahmedabad, India

Projects

                
Music Player Web-App
                  A music streaming web app based on Django
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite, AWS S3, Heroku
Register/login to the web app(with OAuth-based Google Sign-In).
Search and filter songs based on language and singer.
Create multiple playlists and add/remove songs to/from playlist.
Scroll through recently played/viewed songs.

Quiz Web-App
                  A quiz playing web app based on Django
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite, Heroku
Register/login to the web app(with OAuth-based Google Sign-In).
Play Quiz and see the leaderboard

Blog Web-App
                  A simple and extensible blog web-app based on Flask.
                
AccomplishmentsTools: HTML, CSS, Bootstrap, Flask, SQLAlchemy, Postgresql, Python
Users can view posts and contact the admin via Contact Page.
Admin can Add, Delete, Update posts.

Visual Question Answering
                  An attention-based classification model that aims at generating an answer for a given input image.
                
AccomplishmentsIncorporated Convolution Neural Networks (CNN) for extracting image features and Long Short Term
                    Memory for extracting question
                    embeddings.
Tested the model on the COCO dataset, abstract scenes images, and got 69% overall accuracy on the
                    VQA evaluation metric.

Video Summarizer
                  A Seq2Seq model that generates a short summary of the given input video.
                
AccomplishmentsIncorporated CNN to detect and classify objects in the video frames and Long Short Term Memory for
                    generating a summary.
Evaluated the model on MSVD (Microsoft Video Description Corpus) dataset; achieved 0.77, 0.71,
                    0.52 scores respectively on ROGUE,
                    BLEU, METEOR evaluation metrics.

Image Generator
                  An image generator based on the concept of adversarial networks (GANs)
                
AccomplishmentsDeveloped system was tested on a human-face database and loss was calculated by comparing the PCAs
                    of generated and original image.
Calculated difference in PCA was less than 10%, depicting the successful generation of an image by
                    the generator.

Head Counting System
                  A system that calculates the attendance of the class from a panoramic image of a live classroom.
                
AccomplishmentsUsed Singular Value Decomposition for image compression; applied various image processing
                    techniques and morphological operations to
                    detect the number of heads.