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Sreekanth V
Software Engineer
Hi There!
I'M Sreekanth Vinodkumar
I am a passionate software engineer with a strong focus on coding, software design, and creating high-end solutions. I thrive on leveraging my technical skills to solve complex problems, enhance user experiences, and contribute to innovative and scalable applications.
About me
Name : Sreekanth Vinodkumar
Date of Birth : 25/05/1998
Designation : Software Engineer
Download CV
11Completed Projects1 Award Won
Work Experience
09/2022 - Till now
Senior Full Stack Developer
Company : Heyrides
Location : Windsor, ontario, Canada
05/2023 - 09/2023
Software Engineer (RA)
Company : University of Windsor
Location : Windsor, ontario, Canada
5/2021 - 7/2022
Software Engineer
Company : QBurst Technologies
Location : Kochi, India
27/05/2020 - 08/11/2021
Software developer
Company : Riafy Technologies
Location : Kochi, India
04/2020 - 05/2020
Internship
Company : Pricesenz
Location : Kochi, India
2017
Internship
Company : Nest Cyber Campus
Location : Kochi, India
My Projects
2024
WordArc
Developed and launched a multiplayer word puzzle game inspired by Wordle, utilizing JavaScript, React Native, Firebase, and MongoDB. Implemented secure user authentication, a dynamic leaderboard, and a user profile section to track progress and win percentage. Deployed the backend on a self-hosted server with data stored in MongoDB and connected a custom domain. Enhanced player engagement through challenge features and ensured Play Store compliance by addressing policy violations for smooth deployment.
2024
Heyrides
Accomplished the development of Heyrides, a comprehensive ride-sharing application facilitating seamless commuting between diverse locations. Successfully integrated an intuitive user interface, featuring user-specific pages and an efficient admin dashboard. Users can effortlessly book rides from one location to another, with the added convenience of receiving notifications via email.
2023
Impact of People’s Emotion on the Crypto Market
Conducted an in-depth analysis of a Twitter dataset related to the Russian-Ukraine War, obtained from Kaggle, to gain insights into public sentiments and reactions. Utilized advanced data cleaning techniques to ensure the dataset's accuracy and reliability. Leveraged TextBlob and IBM Watson NLP for sentiment analysis on the tweets, assessing the emotions expressed by users during the conflict. Developed visually compelling data visualizations depicting the variations in cryptocurrency trends in response to people's emotions during this period.
2023
Mini-terminal
Designed and implemented robust client-server connections using the TCP protocol. Implemented load balancing techniques to effectively distribute network traffic between primary and secondary servers. Handled client-side requests, processed them on the server side to deliver requested data and files, and implemented secure, scalable solutions to cater to diverse client needs.
2023
NoSQL Injection detection in MongoDB using Machine Learning
Conducted research to determine the most effective machine learning methods for detecting injection attacks on MongoDB databases using a NoSQL injection dataset. Compared the performance of various classifiers, including Logistic Regression, Decision Tree, Support Vector Machines, Naive Bayes, Gradient Boosting, and Random Forest, based on F1 Score, Recall, Precision, and Accuracy. Concluded that the Random Forest classifier was the best for NoSQL injection detection in MongoDB.
2022
Diary Application
Developed a cutting-edge text editor for a diary application using React.js, integrating visually appealing themes and a dark mode feature to enhance the user experience. Strengthened application security by implementing JWT token authentication to safeguard user data and prevent unauthorized access. Ensured top-level data protection by implementing robust password encryption techniques for secure storage of sensitive information in the database.
2021
Logistic Application
An application to efficiently manage logistics transportation, ensuring seamless delivery of goods. Featured an integrated Google Maps function for real-time vehicle tracking, comprehensive transaction details reports for enhanced data visibility, and Firebase push notifications for timely updates. Implemented multi-language functionality and right-to-left (RTL) support, improving accessibility for diverse users. Utilized service workers to enable notifications even when the website was inactive, enhancing user engagement and convenience.
2020
Working model of Self-driving Vehicle
A self-driving vehicle embedded with a convolutional neural network and shortest path algorithm for predicting the best path and direction which enables safe travel from one location to another.
2020
TicTacToe puzzle Game Android App
Tic-tac-toe is a game for 2 players, X and O, who take turns marking the spaces in a 3×3 grid. The player who succeeds in placing three of their marks in a horizontal, vertical, or diagonal row is the winner. Features include Single player (play with android) with two difficulty levels and Multiplayer.
2020
Speech Text Converter Android App
Utilized Android's built-in Text-to-Speech (TTS) engine to deliver seamless and interactive speech capabilities, enhancing user experience and accessibility. Integrated text-to-speech and speech recognition functionalities into various communication channels, including SMS, Email, and cross-application copying, empowering users to effortlessly communicate and interact with the app's content.
2018
Life Source - Blood Bank Management System
A simple and efficient system for Blood bank management. This system has a real-time geo-powered network of blood donors which allows the hospital to search directly for nearby blood donors thus reducing the middle-man and saving time.
My Education
01/09/2022 - 31/12/2023
Master of Applied Computing
Institution : University of Windsor
Location : Windsor, ontario, Canada
01/08/2016 - 31/07/2020
Bachelor of Technology(Honours) in Computer Science and Engineering
Institution : A P J Abdul Kalam Technological University
Location : Mar Athanasius College of Engineering, Kothamangalam, India
01/06/2014 - 31/03/2016
Higher Secondary Education
Institution : Holy Cross Higher Secondary School
Location : Kottayam, India
2013 - 2014
Secondary Education
Institution : Gayathri Central School
Location : Puliyannoor, Kottayam, India
Publications
2020
Self-Driving Car using Convolutional Neural Network
Published in International Journal for Research in Applied Science and Engineering Technology (IJRASET) Volume 8,Issue IV, April 2020
Awards
17/02/2019
Project presentation(V-Hack) – APJ Abdul Kalam Technological University
First prize for Life Source project in University level Project presentation.