Kunal

+91 8235324567
kunalsingh2703@gmail.com

Education

University of Petroleum and Energy Studies (UPES)

Dehradun, India
2020 - 2024

Bachelor of Technology in Computer Science and Engineering

Cumulative GPA :- 8.56

Experience

Careers360 | DevOps Engineer I

Sep 2024 - Present

● Migrated half of the existing applications from traditional servers to Amazon EKS, improving scalability, fault tolerance, and resource optimization.
● ⁠Consolidated two existing load balancers into a single load balancer, streamlining traffic management and reducing infrastructure complexity.
● Improved CDN performance by separating subdomains into individual CloudFront distributions, optimizing content delivery and enhancing security.
● Led the upgrade of Amazon EKS clusters from version 1.24 to 1.28 and then from 1.28 to 1.29, across staging, beta, and production environments, ensuring minimal downtime and consistency.
● ⁠Replaced the use of env-based access and secret keys with an RBAC role-based approach, improving security and compliance across all environments (staging, beta, and production).
● Managed end-to-end release and deployment processes across staging, beta, and production environments, ensuring smooth and timely application rollouts with no disruptions.
● Optimized AWS resources and services, reducing overall AWS billing by 40 percent through cost-effective management of instances, load balancers, and cloud services.

Careers360 | DevOps Engineer Internship

March 2024 - August 2024

● Utilized a comprehensive suite of AWS services (EC2, RDS, CloudWatch, Route53, CloudFront, VPC, etc.) to manage and optimize cloud infrastructure.
● Employed Devtron for streamlined build and deployment processes and automated tasks and workflows using Jenkins cron jobs, enhancing operational efficiency.
● Migrated CloudWatch metrics and logs to Grafana, reducing monthly 70 percent cost.

Visvesvaraya National Institute of Technology (VNIT Nagpur) | Internship

June 2023 - July 2023

● Implemented a smart irrigation system using Machine Learning, optimizing plant watering      decisions with sensor data.
● Achieved significant improvements in water usage efficiency and agricultural practices through     automation.

PwC | Internship Trainee

Mar 2023 - July 2023

● Completed the PwC Analytics Insights Launchpad program, gaining comprehensive training     in Python, Oracle RDBMS, and Data Engineering techniques.
● Attained proficiency in Python, Oracle RDBMS, and Data Engineering through participation in     the rigorous PwC Analytics Insights Launchpad training program.

F13 Technologies | Internship

July 2022 - Oct 2022

● Conducted a case study on McDonald's home delivery service, focusing on their usage of AWS    technologies such as EC2, ECR, Elasticache, RDS, S3 and ELB to optimize their operations and     improve customer satisfaction.
● Completed a final presentation of the findings to the team.

LetsGrowMore | Internship

June 20212 - July 2022

● Developed a tool to convert images from RGB to grayscale and create pencil sketches, using the     cv2 library in Python.
● Implemented the image conversion algorithm and tested it on various sample images to ensure     its accuracy and effectiveness.
● Developed a tool to extract text from articles and perform text analysis, using Python and     Excel.
● Implemented the text extraction algorithm and tested it on various sample articles to ensure its     accuracy and effectiveness.

Ethical Edufabrica Pvt. Ltd | Internship

Sept 2021 - Oct, 2021

● Developed a banking management system with an interface for logging in and signing up, as     well as a dashboard for personal details and performing transactions.
● Designed and implemented the user interface and dashboard using HTML, CSS, and JavaScript.
● Implemented the back-end logic using Python and SQL to manage user accounts and perform     transactions.

Paridhi - NGO | Social Internship

June, 2021 - July, 2021

● Create a survey instrument to collect data from community members. The survey instrument     included questions on demographics, education, income, health, access to services, and other     relevant topics.
● Collected the data in a structured and systematic manner, ensuring that all questions were     answered and all responses were recorded accurately.
● Analysed the data collected from the survey to identify key issues and potential solutions. Used     statistical tools and techniques to analyze the data and generate insights.
● Reported the findings of the survey in a clear and concise manner. Used tables, charts, and     graphs to present the data and highlight key insights. Give a recommendations for potential     solutions based on the survey results.

Skills

  • Programming Languages:- Python C++ C
  • Cloud Platforms:- AWS
  • Databases:- MYSQL MYSQL Workbench Oracle
  • Operating System:- Windows macOS Linux CentOS
  • Tools/ Technology/ Platforms:- Git/GitHub Docker Kubernetes Devtron Grafana Jenkins Visual Studio

Relevant Courses

Data Structures and Algorithms, Operating System, Computer Graphics, Computer Networks, Databases, Automata Theory(Compiler Design), Software Engineering, Cloud Computing, Machine Learning.

Projects

All projects available on git : https://github.com/Kunal2703

  • QuillPost: A Microservice Based Blog Posting App

    - Four services under development: Django for authentication/comments, Spring Boot for posting, and React for the front-end.
    - Services communicate via REST API calls, ensuring efficient data exchange and seamless operations.
    - All services are Containerized using Docker for easy deployment and management.
    - Kubernetes is employed for deploying and orchestrating the containerized services, ensuring scalability and reliability.

  • Cloud Provider Advisor

    - Designed and implemented a system using SDKs to retrieve VMs data from various cloud providers.
    - Stored the collected VMs data in a centralized database.
    - Developed a UI enabling clients to search, filter, and compare VMs based on memory, storage, and price.

  • Parking Spot Assigner with License Plate Detector

    - Designed a tool to automatically detect and recognize the license plate numbers of vehicles    at the entry gate via a camera which is connected to a computer.
    - The number is extracted from the image and is then checked with a database which contains    the details of the employee and assign a token for a parking slot.
    - Assigning of the parking slot will be according to the respective seating of the employee, the    system will check for available slots near that sitting and will assign the parking slot.
    - Done using computer vision and machine learning algorithms and trained data to identify the    specific characters and patterns on license plates.

  • Custom Compiler

    - Designed and implemented a compiler that can parse and analyze source code, generate    intermediate code or assembly code, and finally produce machine code that can be executed    by a computer.
    - Involves a combination of lexical analysis, syntax analysis, semantic analysis, and code    generation algorithms, which are implemented using Python and C++ programming    languages.

  • Carbon Footprint Calculator

    - Developed a carbon footprint calculator web application which calculates your carbon    footprint due to transportation and domestic activities and uses a CI/CD model to automate    the software development process.
    - Implementing the CI/CD pipeline to ensure efficient and reliable code delivery. This involved    setting up automated testing, building and deploying code, and managing version control    using tools like Jenkins, Git, AWS and docker.

Certifications

Honors & Awards

Kunal
kunalsingh2703@gmail.com