• Performed Twitter-based sentiment analysis to determine the winner on the 2020 US elections
• Predicted sentiments with 93.48% accuracy using GOT3 API to fetch tweets and built model using Long-short term memory
• Build a model to detect human movement using Wi-Fi in a closed room using LSTM model
• Used Amazon Sagemaker notebook instances to train and deploy a model
• Developed Machine Learning application to recommend food items using available ingredients. • Performed multi-variate linear regression and K-Means clustering to recommend food items made from the list of available ingredients • Recommended similar food items based on the searches of the user by comparing the ingredients in other food items • Developed website using Spring Framework and Hibernate in Java which enables Alexa to automatically generate a form based on user inputs • Deployed the model in EC2 & S3 and created AWS Lambda functions for sending the user input to the web application
• Developed an ecommerce website for the apparels using SpringBoot Framework in Java • Created APIs for fetching the apparels based on the user request and integrated payment gateways into the website • Integrated Login APIs of Facebook and Google and leveraged Twilio API for authentication • Developed user interface using ReactJS and handled cross-browser compatibility issues using ReactJS
| Name | Description | Completed |
|---|---|---|
| Learn to Program in Java: A Review of the Basics | An online course from Microsoft Virtual Academy on basics of JAVA Programming | Jan 2017 |
| Relational Algebra | An online course from Stanford University on Relational Algebra | Apr 2017 |
| SQL | An online course from Stanford University on SQL | Apr 2017 |
| Empowering Your Journey to the Cloud | An online course from Microsoft Virtual Academy on basics of cloud | Sep 2017 |
| Cybersecurity Reference Architecture | An online course from Microsoft on Cybersecurity | Oct 2017 |
| Contributing to the Live Project, Microsoft's New AI Chatbot - Ruuh | Development of ChatBot Ruuh | Jun 2018 |
| Predictive Modeling Fundamentals | Level 1 course by IBM | Oct 2018 |
| Social Media Marketing | Guided by Casio and Oyster | Nov 2018 |
| Cloud Computing | Techgig.com | Dec 2018 |
|
• Currently working as a Graduate Research Assistant at Cal State University - San Marcos • 2 years of professional experience as a Software Engineer and as a Software Developer • Master's student in Computer Science at California State University - San Marcos graduating in May 2021 • Machine learning enthusiast with experience in all phases of SDLC using Agile Methodologies • Strong understanding of object-oriented programming/design, data structures and algorithms • Full-Stack Web Developer having experience in building web applications in Spring, Hibernate Java, MVC, React.JS, Node.JS • Have experience in Cloud technologies, have used Amazon EC2, S3, Lambda, EBS, CloudTrail, Sagemaker on enormous occasions |
|---|
| Name | Description |
|---|---|
| Smart Bell | • Developed an Android application using Android things and connected it with a front-door camera • Using Firebase, owner can access live footage to allow or deny the person trying to enter the apartment • Trained model using Cloud Vision API with 98% accuracy to allow access to family members or close friends permanently • Integrated Google Calendar with the Android Application to reschedule a meeting with a person who has been denied entry |
| Profitable Dustbin | • Created a trashcan with Arduino and Biometric SDK for collecting Biometric information of the user • Used Cloud Vision API to train the ML model which predicts whether the trash is disposable or not • Stored the Biometric data of the user in MySQL • Created a point-based system for giving credits to users throwing proper disposable waste in the trashcan |
| Coder Alexa | • Developed website using Spring Framework and Hibernate in Java which enables Alexa to automatically generate a form based on user inputs • Deployed the model in EC2 & S3 and created AWS Lambda functions for sending the user input to the web application |
| Flight Recommendation System | • An application which recommends user to choose best flight possible at lowest cost and in minimum time • Created an API which fetches current flight prices of different airlines between two cities alone with differnt stopes |
| Planet Wars | • Created an AI game that can defeat opposing AIs to win Planet Wars game • A game in which two AI's play against each other in order to win the game |
| Real-time device tracker | • An android application with firebase real-time database, which tracks device and shows current location. It also generates path for given time-frame. |
| Advanced Security Camera | • Security camera installed in room to detect unusual movement. If anything wrong detected by camera, it'll send notification to local authorities and also neighbours. |
| Text Encryption with Image | • Developed Desktop application in C++ which takes texts as input and allows users to select image file and encryption algorithm • Developed a web version in PHP as an alternative to Desktop application • Encrypted text using the algorithm selected by the user and embedded into the image without compromising the image quality • Developed decryption process using the image file and the algorithm provided by the user which results in the plain text on successful decryption or leads to deletion of the image |
| Students portal | • Developed web application using Spring boot Framework in Java through which students can exchange reading materials • Stored files in Azure blob storage, and data in MySQL database • Used Azure’s Virtual Machine to host the web application and integrated SendGrid’s services for email authentication |