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Bhupendra Yadav

+91 9942199618 | bhupendrayadav2077@gmail.com | linkedin.com/in/bhupendra-yadav-a968632b5 | github.com/bhupendrayv

Summary

Software Engineer (SDE) candidate and Full-Stack Developer with hands-on experience in the MERN stack (MongoDB, Express.js, React.js, Node.js), RESTful API design, and cloud-based Generative AI solutions. Built full-stack applications with JWT authentication, role-based access control (RBAC), and API integration (Stripe, Google Maps, Google Gemini). Applied Machine Learning, Deep Learning, and Computer Vision to real-world problems. Strong foundation in DSA, OOP, and Operating Systems.

Technical Skills

Programming Languages: C++, Python, Java, JavaScript, SQL, Solidity
Frontend: React.js, Next.js, HTML5, CSS3, Tailwind CSS, Responsive Web Design
Backend: Node.js, Express.js, Flask, RESTful APIs, API Integration, JWT Authentication, Role-Based Access Control (RBAC)
Databases: MongoDB, PostgreSQL, MySQL
AI/ML: Machine Learning, Deep Learning, Computer Vision, Image Classification, CNN, TensorFlow, Keras, Generative AI, Google Gemini API
Cloud & Platforms: Oracle Cloud Infrastructure (OCI), Salesforce (Apex, Lightning Web Components, Flows)
Tools & Integrations: Git, GitHub, Google Colab, Stripe API, Google Maps API, React-Leaflet, Web3Auth, Ethers.js
Core Computer Science: Data Structures and Algorithms, Object-Oriented Programming (OOP), Operating Systems

Projects

MediConnect-Assistant GitHub
MERN Stack: MongoDB, Express.js, React, Node.js, Tailwind CSS
  • Engineered a full-stack healthcare platform on the MERN stack offering AI-assisted symptom analysis and secure doctor appointment booking.
  • Implemented JWT authentication and role-based access control (RBAC) to secure RESTful APIs and protect user data.
  • Integrated the Stripe API for secure payment processing, handling transactions and post-payment redirection.
  • Automated PDF appointment receipt generation with embedded QR codes.
VeroGreen: AI-Powered Ecological Waste Verification Platform GitHub
Next.js, React, Tailwind CSS, PostgreSQL, Web3Auth, Google Gemini AI
  • Built a Next.js platform that uses computer vision to verify and reward ecological waste disposal.
  • Developed an image classification pipeline with the Google Gemini 1.5 Vision API for automated waste verification.
  • Designed an interactive geospatial reporting system using the Google Maps API and React-Leaflet.
  • Integrated a Web3 rewards system using Solidity smart contracts, Ethers.js, and Web3Auth to incentivize users with blockchain tokens.
CafeCore: Full-Stack Cafe POS & Management System GitHub
JavaScript (ES6+), Express.js, SQLite, MySQL, Stripe API, Chart.js
  • Built a production-grade Cafe POS system handling orders, multi-gateway payments (Stripe, UPI, Cash), and staff authentication.
  • Developed real-time kitchen order tracking with elapsed timers and dynamic business analytics dashboards.

Experience

Research Intern May 2026 – July 2026
SRM University AP Andhra Pradesh, India
Malaria Detection from Blood Smear Images
  • Developed a malaria detection system using Deep Learning and Computer Vision to enable fast, automated diagnosis from blood smear images.
  • Trained and evaluated CNN, VGG19, ResNet50, and a Hybrid CNN-BiLSTM model on a dataset of 27,558 images, achieving high classification accuracy.
  • Built and deployed a Flask web application delivering real-time malaria predictions from user-uploaded blood smear images.
Salesforce Developer Intern 2025
SmartBridge
  • Developed on the Salesforce platform using Apex, Lightning Web Components (LWC), Flows, and CRM data modeling.
  • Built and customized Salesforce solutions using automation, integrations, and AI tools to improve business processes.

Education

SRM University AP Expected 2028
B.Tech in Computer Science and Engineering CGPA: 7.80

Certifications