About
I'm a .NET Full Stack Developer with proficient knowledge in algorithms and data structures.
Currently works for UST, India as Developer 1. I have good knowledge of Micro-service architecture and SOLID principles.
Bachelor's Degree in Computer Science & Engineering
Completed my B.Tech (Honours) in Computer Science and Engineering from SJCET, Kottayam under KTU University, Kerala.
- Phone: +91 86065 18095
- City: Kottayam, Kerala, India
- Email: royalbenny2@gmail.com
Skills
- Programming Language: C#, Python 3, Kotlin, Typescript, C, HTML, CSS, JavaScript
- Framework / Libraries: Angular, .NET, ReactJS, Bootstrap
- Database: SQL, SQLite, MongoDB, Firebase Realtime DB
- Machine Learning Tools: Numpy, Pandas, Keras, Matplotlib
- Cloud Technologies: AWS, GCP
- Other Technologies: Git, Visual Studio, IntelliJ IDEA, Postman, Android Studio, JSON, Micro-Services, SOLID Principles, OOPS concept
Resume
Hi, I am a 2021 B.Tech (Honours) graduate in Computer Science and Engineering. Currently, I am working as Developer 1 in UST. I have expertise in writing code from scratch to fully functional applications for Web, Android, and Machine Learning. Always passionate about solving challenging problems.
Sumary
Royal Benny
Passionate and hardworking Developer with good leadership quality and team player. Always want to explore the new era of technologies and life.
- Kottayam, Kerala, IN
- +91 86065 18095
- royalbenny2@gmail.com
Education
B.Tech (Honours) Computer Science & Engineering
2017 - 2021
APJ Abdul Kalam Technological University (KTU)
Graduated with 8.33 CGPA from St. Joseph's College of Engineering and Technology, Palai
HSE
2015 - 2017
Kerala Higher Secondary Examination Board
Scored 94% in higher secondary exam
Professional Experience
Developer 1
September 2021- Present
UST, Kerala, India
- Trained in .NET Full Stack Development with Angular & Azure Basics
- As part of training, developed a fully functional E-commerce web app
Machine Learning - Intern
July 2019 - August 2019
iDTech, Kerala, India
- Build Age Prediction model using Keras & OpenCV libraries
- Created a Traffic Signboard detection model using CNN & Python for helping blind people
Projects
- All
- .NET C#
- ReactJS
- Angular
- Python
- Kotlin
E-commerce Web API
December 2021
C#, .NET, REST API, SQL, Docker, NUnit test
Build a REST API for an E-commerce website called JeanStation as part of UST .NET training. Provide a role-based login mechanism. Admin was able to add new products, update product stocks. Users can log in with their username and password to add products to their cart or purchase order. The app is created using Micro-service architecture and deployed in Docker.
GithubE-commerce Web
December 2021
Angular, TypeScript, Bootstrap, HTML5
Created a responsive website as the front-end of the JeanStation eCommerce. The website displays the data received from the E-commerce web API (back-end) using REST API. A separate admin portal is provided for managers to maintain the product and stock details.
GithubCashbook Web API
January 2022
C#, .NET, REST API, SQL, LINQ, Entity Framework
An application that helps to record the in and out cash flow. Users can log in using the user id and password. REST APIs are used to communicate with the front-end. Layered architecture used. Cash flow details are stored in SQL and manipulated using Entity Framework.
GithubCashbook Web
January 2022
Angular, Bootstrap, HTML5
Created a responsive website as the front-end of the Cashbook. The website displays the data received from the Cashbook web API (back-end) using REST API.
GithubSentence Similarity Checker
July 2021
Python, JavaScript, Numpy, Pandas, Jupyter Notebook
A dynamic website in which users can check the similarity between two sentences. Implemented a machine learning model which extracts the semantic meaning of the sentence and then identifies the similarity between them. Quora Question Pair dataset used. The model produces an accuracy of 89%.
Github YouTubeSmart Frame for Visually Impaired Person
December 2020
Python, CNN, Image Processing, Google Cloud Vision API, Natural Language Processing, OCR, Raspberry Pi, Linux, OpenCV
An AI-powered smart-assistant frame for visually impaired people, developed as part of the Smart India Hackathon 2020. Using Deep Learning techniques like CNN and OCR, several features have added to the frame to makes their life more beautiful.
Github YouTubeLocation Based Reminder Application
October 2018
Android, Kotlin, Java, Google Map API, GPS, Firebase, SQLite
A real-time navigation Android application that helps users to recollect memories. Mainly focus on informing the user what all listed items to buy when the user reaches near to the proposed shop.
Public YouTube APKAchievements
Finalist in Smart India Hackathon 2020
Finalist in D3Code, UST
Gold Badge in Problem Solving, Hackerrank
Received Technical Support from Kerala Startup Mission
Winner in Idea Competition, SJCET
Finalist in IEEE MadC International Contest 2018
Certificates
AWS Partner: Cloud Economics Accreditation
Issued by Amazon Web Service
Issued on: October 2021
View Certificate
AWS Partner: Accreditation (Technical)
Issued by Amazon Web Service
Issued on: September 2021
View Certificate
Specialization Architecting with Google Compute Engine
Issued by Coursera
Issued on: November 2020
View Certificate