Open to opportunities

Shreya singh

@shreyasingh21

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I build responsive full-stack and AI-powered applications using Python, JavaScript, Flask, React, and machine learning.

India

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What I'm looking for

I'm looking for opportunities to build scalable, user-focused full-stack and AI-powered applications, contribute to collaborative teams, and grow through hands-on work with machine learning, backend systems, and intelligent product design.

I've built AI-powered full-stack applications including RePlate, a food waste mitigation platform that matches surplus food with nearby NGOs using Flask, SQLite, Google Maps API, and Scikit-learn shelf-life prediction.

For SurgiPlan AI, I created an OCR and NLP pipeline with TesseractOCR and Transformers to extract medical-report data, cross-reference patient information, and suggest clinical insights through a Flask API.

I also built GiveGet, a community resource-sharing platform with Flask APIs for authentication, listings, and recommendations, alongside a responsive React interface for resource discovery.

I'm pursuing AI/ML studies while developing with Python, JavaScript, React, Flask, Node.js, and machine learning tools. As President of Granthgram Club, I've organized events and mentored members in public speaking and creative writing.

Experience

Work history, roles, and key accomplishments

Full Stack Developer

GiveGet

Developed an intelligent matching system to connect resource donors with recipients based on category and location. Built Flask APIs for authentication, listing management, and recommendation services, and created a responsive React interface.

Flask React REST APIs Recommendation Systems

Full Stack Developer

RePlate

Developed donor and receiver dashboards using HTML, CSS, JavaScript, and Google Maps API. Created a Flask API with SQLite to match surplus food to nearest NGOs and added shelf-life prediction using Scikit-learn.

HTML CSS JavaScript Google Maps APIs Flask SQLite scikit learn

AI and Backend Developer

SurgiPlan AI

Built an OCR and NLP pipeline using TesseractOCR and Transformers to extract vitals and pathology from medical reports. Developed a Flask API to cross-reference patient data and suggest clinical insights.

Tesseract OCR Transformers Flask OCR NLP