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Priya Sharma

Open to work0 years experience

Full Stack Developer

Mumbai, Maharashtra, INDTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Full Stack Developer | Data Analytics & Machine Learning Enthusiast

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

32 skills
cc++pythonjavascripttypescripthtmlcssreact.jsnext.jstailwind cssbootstrapshadcnuinode.jsexpress.jsmvc architecturerest apismongodbmysqlgitgithubvs codefirebasefigmacloudinarypassport.jsstripegoogle maps apirendervercelwebrtcvapigoogle gemini api

Work Experience

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Projects

TravelNest

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Node.jsExpress.jsMongoDBMongooseEJSPassport.jsStripeGoogle Maps APICloudinaryFlatpickrREST APIsMVCRender
  • Built and deployed a full-stack Airbnb-style web application using Node.js, Express, MongoDB, and EJS, enabling user authentication, property listings, bookings with date selection, and reviews.
  • Implemented secure authentication, authorization, and validations using Passport.js (Local & Google OAuth) , protected routes, role-based access control, and Joi-based client/server-side validation .
  • Integrated Stripe (test mode) for payments , Cloudinary for image uploads , Google Maps API for location visualization , Flatpickr for date selection , and designed RESTful APIs following MVC architecture .

VocalHire

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Next.jsReact.jsFirebase AuthFirestoreGoogle Gemini APIVapi Voice Agent APITypeScriptVercel
  • Architected a scalable, event-driven interview system using Next.js serverless functions, integrating Firebase Auth and Firestore for secure session management, persistent interview history, and consistent multi-step workflows.
  • Developed an AI-powered interview generation pipeline using Google Gemini to create role-specific questions, difficulty tiers, and structured scoring rubrics through prompt-chained LLM workflows.
  • Implemented a real-time conversational interview experience using Vapi’s Voice Agent API, enabling low-latency bi-directional audio interaction with automatic speech recognition, AI-driven responses, and end-to-end feedback generation.

Skin Disease Detection

PythonTensorFlowKerasFlaskJavaScriptHTMLCSSMongoDBMobileNetV2API
  • Built a MobileNetV2-based skin disease classifier using transfer learning, image augmentation, and preprocessing pipelines, achieving 85% accuracy across multiple skin-disease classes.
  • Implemented a local inference pipeline with top-3 confidence scoring, visualization of predictions, and OpenCV-based image processing to ensure clean inputs and consistent model performance.

Leaderboard Standings

Leaderboard Position Pending

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Assessment Highlights

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AI Collaboration Score

AI Collaboration Score Pending

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Role Compatibility Profile

Role Compatibility Analysis Pending

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Achievements

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About Details

Professional Bio

Full Stack Developer with expertise in building scalable web applications and AI-driven platforms. Proficient in modern JavaScript frameworks, backend architecture, and machine learning integration. Passionate about creating efficient, user-centric digital solutions.

Bachelor of Engineering in Electronics and Telecommunication Engineering

VIT, Mumbai (2022 - Present)

Languages: English, Hindi
Email: Locked