Shreelakshmi Bharadwaj C-| - | www.linkedin.com/in/shreelakshmi-bharadwaj/
EDUCATION
Dr. Ambedkar Institute of Technology
Bachelor of Engineering, Computer Science, CGPA: 8.98
Sarvodaya PU College
Senior Secondary, 99.16%
Dec 2021 – Present
Jun 2020 – Apr 2021
EXPERIENCE
Full Stack Web Development: VMAPS Tech Pvt Ltd.
Dec 2024 – Feb 2025
• Developed an interactive landing page with personalized content delivery using React and Tailwind CSS, increasing
user engagement and enhancing the overall user experience
• Maintained database schemas using MongoDB, ensuring data integrity and optimized queries, and elevating database
retrieval speed by 15%
• Optimized SQL queries for complex reporting tasks, reducing query execution time and boosting database
functionality for large-scale data processing tasks
SKILLS
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Python
Java
React
JavaScript
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HTML
Tailwind CSS
Bootstrap
Node.js
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Express.js
MongoDB
SQL
Git/GitHub
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Flask
VS Code
PROJECTS
Health Pulse Kiosk
Jan 2025
• Developed an AI-driven Health Pulse Kiosk integrating non-invasive sensors (ECG, blood pressure, SpO2, and
temperature) and machine learning models (Naive Bayes, Random Forest, MobileNetV2) to provide real-time
diagnostics with 99.56% accuracy and 1.2s response time.
E-Commerce Website (Mern Stack)
Dec 2024
• Tech stacks: MongoDB, Express.js, React.js, Node.js
• Integrated a secure Stripe payment gateway using Node.js and Express, handling 50+ test transactions daily with a 0%
failure rate, ensuring flawless user experience during testing
• Mastered advanced Tailwind CSS techniques, designing 5 new web page templates and optimizing web page loading
speed by 1.2 seconds
Kidney Stone Detection (Deep Learning)
Apr 2024
• Tech stacks: Python, TensorFlow/Keras, OpenCV
• Created a Deep Learning model and classified kidney conditions (tumors, cysts, stones) from medical images,
achieving 94% precision in classifying ultrasound scans
• Implemented image processing techniques for noise reduction and feature extraction, improving model accuracy and
achieving a 90% accuracy rate in detecting kidney abnormalities
Courier Management System
Jan 2024
• Tech stacks: PHP, MySQL, HTML, CSS, JavaScript
• Designed a web-based courier tracking system, processing real-time order updates, ensuring timely and precise
delivery tracking for users
CERTIFICATIONS
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GEN AI by Ministry of MSME TDC PPDC, Gov of India (Autonomous)
Walmart USA Advanced Software Engineering Virtual Experience Program on Forage
Skyscanner Front-End Software Engineering virtual experience Program on Forage
Completed web development job simulation for Moreton Bay Council's innovation program
Mar 2025
Sep 2024
Jan 2024
Jan 2024
ACHIEVEMENTS
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Research paper titled “Health Pulse Kiosk: An AI-Driven IoT Solution for Comprehensive Health Diagnostics”
accepted for publication in IEEE (2025).
