About

Let me introduce myself.

I'm a Full Stack Developer for Deloitte in Hyderabad, India. I have a severe passion for developing web applications with creating intuitive, dynamic user experiences. I'm quietly confident, naturally curious, and perpetually improving my chops. My Interest is also in Machine Learning, Artificial Intelligence, Deep Learning, and Blockchain.

Profile

I value simple code structure, clean design patterns, and thoughtful interactions.

Fullname: Rahul Guntha
Birth Date: November 27, 1997
Current City: Hyderabad, India
Email: guntha.rahul9@gmail.com

Skills

I tend to code things from scratch, and enjoy bringing ideas to life.

90%
Javascript
95%
Python
85%
Django
90%
NodeJs
90%
MongoDB
85%
React JS
85%
Postgresql
85%
Dockers and Kubernetes

Say Hi

Resume

More of my credentials.

I'm proud to have collaborated and worked with some awesome companies.

Work Experience

Advisory Analyst, Associate 4

July 2019 - Present

Deloitte

AppBot: Full-Stack Application: Designed and developed Appbot, an automation tool to run custom scripts on SAP client systems based on the role of the user. Used Django DRF for the back-end, PostgreSQL as the database, and deployed the tool on Amazon Web Services. Used AWS Elastic File Storage (EFS) to mount data for multiple peer sharing on a virtual private cloud, AWS Elastic Container Services (ECR) to store the built docker images for the CI/CD pipeline, AWS Elastic Kubernetes Services (EKS) to create a Kubernetes cluster in a different region with multiple servers and also integrated with AWS Fargate serverless architecture for automated scaling of application to cater to a large number of users.

Technologies used: Python, Javascript, HTML, CSS, jQuery, Bootstrap, Adobe XD.

Cloud Services: Azure (Microsoft Multi-Factor Authentication), AWS (EKS, EFS, ECR, Cognito).

Technical Intern

Jan 2019 - July 2019

AT&T

Mobile Tracker: Full-Stack Blockchain Application: Built a decentralized blockchain network using Hyperledger Fabric to track mobiles’ transfer from warehouses to retailers’ stores and finally to the buyers. Led peers in prototyping the application in multiple programming languages and creating the end-to-end architecture. Wrote the chain code in Solidity, and used Hyperledger Composer REST Server for its testing.

Technologies used: NodeJS, ReactJS, Solidity, MongoDB, CouchDB, Kubernetes, Dockers.

Cloud Services: GCP (Compute Engine).

Ticket Bucketing System: Machine Learning: AT&T customers sometimes raise tickets on mobile usability issues with incomprehensible text in the description which is originally intended to capture technical details. Used Natural Language Processing to categorize such tickets, integrated the algorithm with the existing ticket bucketing system and deployed the same in production.

Technologies used: Python, Pandas, NumPy, scikit-learn

Education

Bachelor Degree

July 2019

Vasavi college of engineering, Hyderabad, Telangana, India

Bachelor of Engineering in Computer Science, Aug-2015 to April-2019

History

Services

What Can I Do For You?

Full Stack Development

I have knowledge in creating backend architecture for Web Applications, including APIs for fetching and posting data and using a database such as MongoDB, PostgreSQL. I understand both the architecture and complexities of modern web applications rendering individual components by choosing appropriate frameworks like ReactJS.

Data Science

I develop real-world applications using Machine Learning, Deep Learning, and Artificial Intelligence.

Deployment

Having built many successful applications, I know about deploying an application with advanced architecture using dockers, Kubernetes, and cloud services such as AWS, GCP which help scaling up applications high-speed and easy.

Hello

I'm Rahul Guntha