Hello World! I'm Vishal
"Never, ever give up on something you really want.
It's difficult to wait, but more difficult to
regret"
"Never, ever give up on something you really want.
It's difficult to wait, but more difficult to
regret"
Full-Stack Developer
Computer Science Enthusiast
Experienced Engineer
Determined Optimist
Implemented an HR offer letters automation system using MS Power Automate, reducing manual processes by 89% and integrating with O365 Applications. Providing technical support for hardware and software issues, and contributing to setting up and maintaining IT infrastructure, including classrooms and computer labs.
Working on “Internal Batch Management System App” ( from sprint 10 [2023] to sprint 13 [2023] releases).
Worked on “Internal Batch Management System App” (MVP version + upto sprint 17 [2022] releases + upto sprint 10 [2023] releases) and “Fitness App Admin Portal”.
Worked on “Mobile Banking Application”.
Worked on “Meetings Application”, “Sabka Bazaar App” and "Project Audit Tool App".
Worked on “Predicting The Readmission To Hospital For Diabetes” and “Determine The Quality of a Wine”.
Worked on “Image to Text Conversion”.
Computer Science
Computer Science and Engineering.
Mathematics, Physics and Chemistry - Telangana State Board of Intermediate Education.
Board of Secondary Education - Telangana, India.
Technical and Professional Skills.
HTML, CSS, SASS, TypeScript, Express js, Angular JS, PHP, jQuery, React js, Node js, Next js, Redux, AJAX, REST APIs, Webpack, Babel, ES5, ES6, ESLint, GraphQL, Apollo Client, React Testing Library (Jest).
AWS (EC2, S3, Rekognition).
Eclipse, Dev C++, Arduino, Python IDLE, VM Ware, Bootstrap, Sublime, Spyder, MS Visual Studio, VS Code, MS PowerPoint, MS Excel, MS Word, Jupyter Notebook, Oracle 10g/11g, MySQL, phpMyAdmin, XAMPP, CodePen, Heroku, 000webhost, Cloudinary, Android Studio, Postman, GIT, Docker, Microsoft Team Foundation Server, JIRA, Bitbucket, Jenkins.
NumPy, NLTK, Pandas, TensorFlow, Keras, OpenCV.
JavaScript, Python, Java, C#, C, C++, SQL, R.
MySQL, MongoDB, Apache Cassandra.
What you focus on grows !
LinkedIn Learning / October, 2021
IEEE ICATMRI-2020 Conference / December, 2020
IBM / May, 2020
Ethnus / April, 2020
Udemy / February, 2020
Microsoft / September, 2019
Verzeo / August, 2019
Verzeo / July, 2019
SmartBridge / May, 2019
SmartBridge / May, 2019
SmartBridge / May, 2019
The Association of Mathematics Teachers of India (AMTI) / July, 2014
SmartBridge / May, 2019
SmartBridge / May, 2019
DataCamp / November, 2018
SV InfoTech / June, 2018
Manac Infotech Private Limited / July, 2017
DataCamp / August, 2018
Vellore Institute of Technology - AP University / March, 2019
Vellore Institute of Technology - AP University / March, 2018
Vellore Institute of Technology - AP University / March, 2019
Udemy / June, 2023
Coursera / December, 2024
LinkedIn Learning / December, 2025
LinkedIn Learning / December, 2025
LinkedIn Learning / December, 2025
AWS Skill Builder / January, 2026
Design is not what it looks like and feels like, design is how it works - Steve Jobs.
An interactive urban analytics project that studies the relationship between nighttime crime, light pollution, and streetlight outages in Chicago. By combining crime records, satellite-based lighting data, and outage reports, the system visualizes street-level vulnerability patterns through maps and charts, enabling spatial and temporal exploration of high-risk areas.
A bias-aware image search system that analyzes and mitigates gender bias in professional image search results. The project applies deep learning–based gender classification and fairness-driven re-ranking algorithms to reorder image results, improving gender balance while preserving relevance across multiple search engines.
An interactive data visualization project analyzing traffic congestion across Chicago using historical CTA bus GPS data. The project features single-view, linked-view, and spatial visualizations to explore traffic speed variations by time, day, and street segments, helping identify congestion hotspots, temporal trends, and street-level traffic patterns.
A capstone website project developed as part of the Meta Front-End Developer Professional Certificate on Coursera. It showcases a responsive, restaurant-style web interface with structured layouts and navigation, demonstrating portfolio-ready front-end development using modern web technologies.
HangOut is a multi-user Node.js web app that features secured user signup and login functions and allows logged-in users to post, edit, delete and comment places. Platforms used for building this Web Application are GoormIDE, Heroku, Cloudinary and MongoDB Atlas.
DigiAd is an easy-to-use multi-user web app that provides a peer-to-peer advertising network and content management system that connects owners of public displays with brands. It allows the users to advertise their product easily and content verification of the advertisement is personally checked by Admin for approval or rejection.
It is a multi-user Android mobile app that helps the users by providing a temporary car for on-demand usage by allowing to search for details of the car and book it according to their convenience. It also allows the users to rent their cars to other users by filling out necessary details and provides live tracking of the car to the tenant, owner and driver.
It is a Wireless Home Automation System built using ESP8266 Wi-Fi Module and Arduino Uno that employs the integration of Web Server, IP Protocols, wireless communication to provide the user with remote control of lights, fans, and other appliances within their home.
It uses the Fingerprint technology, Arduino System and allows users to submit Fingerprints at the polling booth. It reads the data from the Fingerprint and verifies the data which is already stored in the database. If the given data matches with the database data, then the system allows the person to cast their vote. Otherwise, it immediately activates the display and alerts the security authorities.
By utilising a model created with Python and Node-RED and following the steps of data exploration, feature engineering, building training/validation/test samples, model selection, and evaluation, this app aids in the prediction of readmission. Users can enter information about any new patient along with their patient data into the database, and the model will determine whether a patient has to be readmitted within 30 days or not.
It makes use of OpenCV, a computer vision algorithm, and features like the Canny Function that enable edge detection. A zero-intensity mask is prepared, the region of interest is mapped using bitwise operations, the Hough Transform technique is used to find straight lines in the image, polar coordinates are used to determine the slope of vertical and horizontal lines, and the lane lines are identified by combining the lane image with the zero-intensity image.
It is a intrusion detection system built on model that is based on facial recognition, the solution is based on a set of authorised people, it exploits a facial recognition algorithm to determine if the person entering the monitored environment belongs to the set of authorised or not.
Research is creating new knowledge - Neil Armstrong
Published in: IEEE International Conference on Advent Trends in Multidisciplinary Research and Innovation (ICATMRI-2020).
This paper proposes the comparison of deep learning architectures available in Keras for emotion detection using deep facial features in images using Transfer Learning from famous pre-trained models like VGG-16, ResNet152V2, InceptionV3 and Xception. It has been accepted at IEEE ICATMRI-2020 and published in IEEE Xplore.
Get in Touch !