Rahi Padwal | Software Developer

Hi, I'm Rahi Padwal.

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About

I’m Rahi, a software developer from Pune, India, focused on building AI-driven software that actually runs in production. From internships to personal projects, my work revolves around turning data, models, and APIs into usable products. I’m driven by a deep interest in how intelligent systems can be designed, deployed, and improved.

Languages: Python, Java
Databases: MySQL, MongoDB
Libraries: scikit-learn, NumPy, Pandas, matplotlib, OpenCV, RAG
Frameworks: Flask, Fast API, Node.js, Spring Boot, Next.js, LangChain, PyTorch
Tools & Technologies: Git, Docker, Visual Studio, AWS, Render, Google Colab, Jupyter Notebook

Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

Willwali

Software Development Intern

Engineered core workflows and backend logic using Bubble.io's framework, implementing automated data validation, conditional logic, and real-time user notifications.
Integrated external REST APIs through Bubble's API Connector to extend app functionality and debugged and optimized client-side workflows and server actions, reducing average response time by 20%.
Collaborated with senior engineers to design strategies from Bubble to a code-based architecture (Flask/FastAPI) for improved scalability and maintainability.
Tools: Bubble.io, REST APIs, Flask, FastAPI

May 2024 - October 2024 | Remote

Projects

                
SmartDocs
                  Full stack SaaS document inbox with federated learning classification
                
AccomplishmentsSmartDocs is a SaaS document management system that uses federated learning to automatically classify and 
                  route enterprise documents without centralizing sensitive data. 
It supports secure uploads, auto-tagging, and workflow automation, helping organizations reduce manual processing 
                  while improving classification accuracy.
Tech Stack: Python, scikit-learning, Spring Boot, REST APIs, Next.js.

Nike Price Prediction
                  ML regression model to predict product-level profit from Nike sales data
                
AccomplishmentsBuilt random forest regression model with comprehensive data processing and feature engineering.
Identified key profit drivers through feature importance analysis and evaluated using MAE, RMSE, and R² metrics.
Tech Stack: Python, scikit-learn, Pandas, NumPy, matplotlib

QueryWise
                  Full-stack platform with AI-powered query assistance for multiple databases
                
AccomplishmentsConnects, manages and queries local and cloud MySQL and MongoDB databases with dynamic schema visualization.
AI-powered assistance using Groq API converts natural language to SQL/MongoDB queries.
Tech Stack: Fast API, Flask, GroqAPI, MySQL, MongoDB, React.js, REST APIs

The Answer Key
                  Platform for students to access exam papers and syllabus with secure authentication
                
AccomplishmentsA web platform that gives students centralized access to previous years’ exam papers and the latest syllabus with secure, verified logins.
Built to scale smoothly from initial launch to 500+ active users by migrating from a relational database to a real-time backend.
Tech Stack: React.js, Node.js, Express.js, Passport.js, MySQL, CSS, JavaScript

Agri-Aqua
                  Smart irrigation system optimizing crop survival with machine learning
                
AccomplishmentsML models (Decision Tree, Random Forest, Logistic Regression) predict crop survival based on weather and user input.
Achieved 92% model accuracy with seamless integration between frontend, backend, and ML models for farmers.
Tech Stack: HTML, CSS, JavaScript, Python, Flask, scikit-learn, Pandas, NumPy

Chat with PDF
                  RAG system enabling question-answering over PDF documents with chat memory
                
AccomplishmentsBuilt retrieval augmented generation (RAG) system using LangChain and OpenAI APIs.
Integrated vector database as retriever with chat memory function for seamless conversation management.
Tech Stack: Python, LangChain, OpenAI API, Vector Database

Pet Management System
                  Comprehensive web app for managing pet adoptions, donations, and medical records
                
AccomplishmentsRole-based authentication (Admin/Employee) with secure password hashing and Flask-Login protection.
Full CRUD operations for pets, adoptions, donations, and medical records with automatic status tracking.
Tech Stack: Flask, MySQL, HTML5, CSS3, JavaScript, Bootstrap 5, Flask-Login