Sai Meghana
Full Stack Developer
I'm a computer science graduate student with 1+ years of hands-on experience,
fueled by a love for coding. Currently on the lookout for exciting opportunities in Web Developement,
Fullstack, Data Science, and Mobile Application Development. I'm eager to bring my skills and enthusiasm to a dynamic team.
About
Coding Experience
2 Years
Certifications
Paper Publications
As a child, I was captivated by movies featuring coding wizards, finding their ability to interact with computers utterly mesmerizing- a unique connection between myself and the machine. Dreaming of becoming a software developer, I yearned to bring my visions to life through lines of code. As I begin to share my journey, I invite you to get to know me better. Welcome to my portfolio!
"Download ResumeSkills
Programming Languages
Java
Python
C++
Kotlin
Java Script
C
HTML 5
CSS 3
Frame Works
React Js
SprintBoot
Angular
React Native
Express.js
Django
Flutter
Vue.js
DataBase Technologies
Mango DB
MY SQL
FireBase
Postgre SQL
SQLite
Fire Store
No SQL
AWS
cloud/devops
AWS
Docker
Kubernetes
Vue.js
Github Actions
AWS Architecture
Jenkins
GitLab CI/CD
Qualification
My JourneySaint Louis University
Masters in Information SystemsAditya Engineering College
Bachelors in Information TechnologyVidhya Vikas
Senior High SchoolGlobal Graduate Assistant
Saint Louis UniversitySoftware Engineer
Nerd PinePower BI Engineer Intern
Nerd PineProjects
Recent Projects
DailyTasks – Save & Track Your To-Dos
Developed a responsive To-Do List web application that allows users to add, cross out, and delete tasks. Implemented persistent state management using the browser's LocalStorage, ensuring that all tasks and their status remain intact even after refreshing the browser. Designed for intuitive task interaction with dynamic DOM updates and user-friendly styling. This project showcases practical front-end development skills including event handling, state persistence, and UI/UX design.
Recruitment Funnel Dashboard
The Recruitment Pipeline Analytics Dashboard is a Power BI-based solution designed to streamline and optimize the hiring process by addressing key challenges such as inefficient sourcing, candidate misalignment, and delayed hiring decisions. By integrating Blockchain technology, the system ensures secure, tamper-proof recruitment data, enhancing trust and data integrity. The interactive dashboard provides real-time analytics on recruitment funnel performance, time-to-hire, candidate evaluation, sourcing effectiveness, and location-based trends. It also features predictive scenario modeling and automated alerts to support proactive, data-driven hiring strategies—ultimately reducing time-to-hire and improving overall recruitment outcomes.
City Weather Tracker
Built a dynamic weather application that fetches and displays real-time weather data including temperature, humidity, and windspeed based on user-inputted city names. Utilized the OpenWeatherMap API to retrieve live weather metrics and implemented error handling for invalid or misspelled city names. Designed a clean and responsive UI for a seamless user experience. The project demonstrates API integration, user input handling, and real-time data visualization.
Project-4
This PERN stack project facilitates library management with distinct roles: students can rate, search, sort, and check out books, while librarians manage functionality including adding, deleting, updating, filing, and processing book returns.
Project-5
This PERN stack project facilitates library management with distinct roles: students can rate, search, sort, and check out books, while librarians manage functionality including adding, deleting, updating, filing, and processing book returns.
Cloud Mart
Developed a multicloud application during The Cloud Bootcamp DevOps & AI Challenge using AWS (EC2, EKS), Azure, GCP, Docker, and Kubernetes. Deployed backend and frontend services, configured DynamoDB, and tested full-stack functionality. Built AI Assistants using OpenAI and Amazon Bedrock for customer support and engagement. Integrated Sonnet 3 LLM for advanced sentiment analysis to automatically evaluate customer conversations and trigger escalations via CloudMart Ticket Director. Gained hands-on experience in deploying scalable, intelligent cloud-native applications.