Designed a serverless architecture with AWS Lambda and API Gateway, ensuring scalable and cost-effective backend operations.

Deployed frontend via Elastic Beanstalk and used S3 for secure image storage, integrating user-facing elements with server-side logic.

Enhanced reliability with SNS and SQS integration for robust messaging, and implemented AWS CloudWatch for comprehensive monitoring and debugging.

We developed a mobile application designed to enhance the travel experience for tourists. This comprehensive tool offers several features to ensure a seamless and enjoyable journey

Recommendation System: Provides personalized suggestions for places to visit, eat, and stay based on user preferences and location.

Tourist Support Chatbot: An AI-powered chatbot available 24/7 to answer queries, offer travel tips, and provide real-time assistance.

Translator: Facilitates easy communication with locals by translating text and speech between multiple languages.

Storytelling Feature: Delivers rich historical and cultural information about various attractions through engaging narratives.

This mobile application was created to streamline the process of renting and buying pre-owned items. I worked on

Calling System: Allows users to directly contact sellers or renters via in-app calling using Zegocloud

User Authentication: Ensures secure login and registration processes using firebase AUth

User Profiles: Enables users to create and manage personal profiles with their listings and preferences.

Homepage: Features a user-friendly interface displaying the latest items available for rent or purchase.

Developed the backend of a social media and events platform with robust features to enhance user interaction and engagement:

Authentication: Secure login and registration system to protect user data by using Spring Security and JWT

User Profiles: Comprehensive profile management allowing users to customize their online presence.

Posts (CRUD Operations): Full suite of Create, Read, Update, and Delete functionalities for user posts.

Chat Functionality: Real-time messaging system to facilitate communication between users.

Worked in Test Driven Development and Agile Environment with Code Coverage of 85%

Developed an Online Test feature enabling teachers to create and manage tests, and students to attempt them.

Implemented a Question Bank feature for easy access to a pool of questions and Test Creation functionality for teachers.

Designed algorithms for automatic test creation based on specified parameters and implemented secured attempts and result generation features.

Deployed the Application using AWS Elastic Beanstalk for frontend and backend.

Developed a collaborative task management platform with user authentication and robust data storage, focusing on coding, debugging, and system consistency.

Deployed using AWS services for scalability and reliability, including EC2 instances, Elastic Beanstalk, and VPC.

Integrated RDS for database deployment and AWS Cognito for secure authentication, ensuring a seamless user experience.

Implemented AWS Backup for data protection, optimizing performance, and following emerging technologies.

Loaded a pre-trained GPT-2 model and evaluated its performance.

Performed parameter-efficient fine-tuning using the PEFT library with LoRA configuration.

Conducted inference using the fine-tuned model and compared its performance to the original model.

Used convolutional neural networks (CNN) to identify images as 'dogs' or 'not dogs'.

Evaluated the algorithm's effectiveness in correctly identifying a dog's breed.

Timed the algorithms to balance accuracy with runtime efficiency.

Two microservices developed in Spring Boot. Implemented CI/CD pipeline in GCP using Cloud Build, Cloud Source Repository and Artifact Registry. Created Kubernetes cluster using terraform.

Created cloudbuild.yaml which will package the source code, containerize it and deploy the workload to Kubernetes cluster using deployment yaml files, when a new commit is pushed to the repository.

Attached persistent volume to the kubernetes cluster accessible by both microservice containers. Exposed one microservice as a service to the internet.