Bhavya Wade

Software Engineer

Palghar, Maharashtra, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed scalable full-stack web applications.
Built AI-powered chatbots using NLP techniques.
Created a Ping Monitoring System for network diagnostics.

Stackforce AI infers this person is a Full-Stack Developer with expertise in Web Development and AI technologies.

Contact

Skills

Core Skills

React.jsNext.jsPython

Other Skills

Tailwind CSSREST APIGitHubAgileNLPScikit-learnGitNetworkingPostman APIMongoose Web ServerAPI DevelopmentWeb DesignTeamworkTeam ManagementTime Management

About

👋 Hi, I’m Bhavya Wade – a results-driven Full-Stack Developer (MERN Stack) passionate about building secure, scalable, and modern web applications that deliver great user experiences. 🚀 I have hands-on experience developing full-fledged applications using React.js, Next.js, Node.js, and MongoDB. My work spans frontend design, backend API development, and deployment with performance, responsiveness, and security in mind. 🔧 Technical Skills: • Frontend: React.js, Next.js, JavaScript (ES6+), TypeScript, Tailwind CSS, Redux, HTML5, CSS3 • Backend: Node.js, Express.js, REST APIs, MongoDB, Mongoose, JWT, Bcrypt • DevOps & Tools: Git, GitHub, Vercel, Railway, Render, Netlify, Docker (Basics), GitHub Actions • Testing & Debugging: Jest, React Testing Library, Chrome DevTools, Postman • Security: OWASP Top 10, CORS, HTTPS, Helmet.js, Burp Suite • UI/UX: Figma to Code, Responsive Design, A11y, Performance Audits 📌 Work Highlights: • Built and deployed scalable full-stack web apps during internships at Tata Steel and Scogo Networks. • Created responsive interfaces, optimized APIs, implemented JWT-based auth systems, and integrated secure RESTful services. • Familiar with code optimization, data validation, and frontend performance improvement practices. 💻 Portfolio: https://bhavyawade-hswa.vercel.app 📂 GitHub: https://github.com/bhavya681 🔍 Actively looking for roles as a Full-Stack Developer, React Developer, Node.js Developer, or SDE (Frontend/Backend) – Remote or Onsite.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Scogo

SDE Intern

Aug 2024 – Mar 2025 · 7 mos · Maharashtra, India · Remote

Built scalable, responsive UI components using React.js, Next.js (SSR, ISR), and Tailwind CSS based on Figma designs.
Integrated ShadCN and Zustand for modern UI libraries and efficient global state management.
Implemented secure REST API calls with token-based auth and dynamic data rendering.
Improved app performance using dynamic imports, lazy loading, and Next.js optimizations (LCP, FCP metrics).
Participated in Agile ceremonies (sprint planning, daily standups, retrospectives) and contributed to code reviews and CI/CD workflows using GitHub and Jira.
Ensured A11y and WCAG 2.1 compliance for inclusive user experiences.

React.jsNext.jsTailwind CSSREST APIGitHubAgile

Kodacy

2 roles

Advanced AI and Machine Learning Internship: Chatbot Development

May 2024 – Jun 2024 · 1 mo · Remote

Built and trained AI-powered chatbots using NLP techniques, including intent classification and text preprocessing.
Implemented basic ML models for conversational logic and response ranking using Python and Scikit-learn.
Applied data preprocessing, feature extraction, and model evaluation for dialogue systems.
Gained practical exposure to deploying conversational AI within web applications and real-world demos.

PythonNLPScikit-learnGit

IoT Intern

Dec 2023 – Dec 2023 · 0 mo · Remote

Designed and deployed IoT prototypes with real-time sensor data transmission using microcontrollers and MQTT.
Integrated edge devices with cloud platforms for remote monitoring, analytics, and dashboard visualization.
Gained hands-on experience with smart systems, sensor modules, embedded firmware, and device-to-cloud communication.

Tata steel

Network Engineer Intern

Jun 2023 – Jul 2023 · 1 mo · Mumbai, Maharashtra, India · On-site

Developed a Ping Monitoring System using Python to automate network health checks across critical systems.
Enabled real-time diagnostics and visibility for industrial IT infrastructure, reducing latency and response time.
Strengthened understanding of network protocols, monitoring tools, and IT support frameworks in large-scale environments.
Ensured seamless integration between operational technology and enterprise IT, adhering to industry safety standards.

PythonNetworking