Hi, I'm Rahul
About
AI & Backend Engineer with strong knowledge in Generative AI, RAG (Retrieval-Augmented Generation), and AI Agents. Proficient in Machine Learning, Deep Learning, and NLP with hands-on experience in building intelligent systems using FastAPI and Django. 4x Hackathon Winner with a passion for delivering innovative solutions. Recently graduated with B.Tech in Artificial Intelligence and Data Science from Thakur College of Engineering and Technology, Mumbai (CGPA: 9.41/10). Eager to leverage cutting-edge AI technologies to solve real-world problems.
Work Experience
Edunet Foundation
- Developed a Crop & Fertilizer Recommendation System with 92% accuracy.
- Analyzed 10K+ agricultural records to enable sustainable farming.
- Completed a 4-week virtual internship under industry mentorship.
- Delivered a project that could improve crop yield efficiency by 15–20%.
CodSoft
- Built a Django web app to display real-time machine learning predictions.
- Processed datasets with 10,000+ rows, optimizing feature selection.
- Implemented models with TensorFlow and Scikit-learn.
Education
Thakur College of Engineering and Technology
Sardar Vallabhbhai Patel Vidyalaya
Skills
Projects
Explore my work across different domains of AI and software development.
CareerVision.ai
Career prediction platform using ML to suggest suitable jobs and real-time listings based on user inputs using Adzuna API.
Advanced AI Chatbot with Multi-Tool Integration
AI chatbot using Groq Llama-3.1-8B with 95% tool accuracy and SQLite chat persistence.
Car Price Prediction API
ML-powered REST API with FastAPI predicting car prices with 85%+ accuracy and Redis caching.
RecipePro.ai
AI-powered recipe generator using Google Generative AI and LangChain for personalized cooking experiences.
Conversational AI Chatbot with Google Gemini
Flask-based chatbot powered by Gemini API with SQLite database, real-time responses, and purple-gradient UI.
StockVision
Real-time stock trend forecasting platform using LSTM models and interactive chart visualizations.
Parkinsons Detection
ML model for detecting Parkinson's disease using multiple classification algorithms.
Fake News Detection
Harnesses ML techniques to classify news articles as real or fake.
Credit Card Fraud Detection
ML model to detect fraud in credit card transactions using Random Forest.
Customer Churn Prediction
Predicting whether bank customers will stay or leave using Random Forest.
RAG Application with LangChain
A Retrieval-Augmented Generation (RAG) application built with LangChain for enhanced document querying.
Web Scraper using LangChain
LangChain web-scraper that extracts, cleans, and embeds web content to power retrieval-augmented generation (RAG) for LLM-backed QA and summarization.
Forest Fire Prediction
Predictive model to forecast forest fire occurrences based on environmental factors.
Diabetes Prediction
ML project that predicts whether a patient is diabetic based on health parameters.
Certifications
Continuously upskilling through industry-recognized certifications in Data Science, Machine Learning, and Web Development. These certifications demonstrate my commitment to staying current with the latest technologies.
- P
Python 101 for Data Science
IBM
Completed IBM's Python 101 for Data Science certification, covering fundamental Python programming concepts for data analysis.
- B
Basics of DSA
Simplilearn
Completed certification in Data Structures and Algorithms fundamentals from Simplilearn.
- F
Flask Python
Great Learning
Completed Flask web development certification covering building web applications using Python Flask framework.
- D
Data Science Masters 2.0
PW Skills
Currently enrolled in comprehensive Data Science Masters program covering Machine Learning, Deep Learning, NLP, and advanced analytics.
Achievements
Winning hackathons and attending workshops, I like to keep exploring and learning new things.
