Rahul Tawarakhed

About

Final-year B.E. Artificial Intelligence & Machine Learning student and Python Developer with hands-on experience building machine learning applications, web platforms, and AI-powered automation systems. Proficient in Python, Flask, Scikit-learn, JavaScript, databases, and Git/GitHub, with a strong interest in software engineering and intelligent application development.

Experience

• Web Development Intern
  Skill Craft Technology
  Aug 2025 – Sep 2025
• Participant
  Company
  2025 – 2025

Education

• B.E. in Artificial Intelligence and Machine Learning
  The Oxford College of Engineering
  Artificial Intelligence and Machine Learning · 2023 – 2025
• Class XII
  SMT. Pusha Mahalingappa PU College
  PCMB · 2021 – 2023
• Class X
  Adarsha Vidyalaya (RMSA)
  2019 – 2021

Skills

• SQL <3 months
• C <3 months
• CSS <3 months
• Computer Networks <3 months
• FastAPI <3 months
• HTML <3 months
• Python <3 months
• Java <3 months
• JavaScript <3 months
• NumPy <3 months
• Pandas <3 months
• scikit-learn <3 months
• OpenCV <3 months
• Flask <3 months
• TensorFlow <3 months
• Operating Systems <3 months
• Keras <3 months
• Tkinter <3 months
• API Integration Understanding <3 months
• Data Structures and Algorithms <3 months
• Threading <3 months
• Oop <3 months
• Advanced DBMS <3 months
• ReactJS (preferred) <3 months

Tools / apps / platforms

• Git <3 months
• GitHub <3 months
• MongoDB <3 months
• MySQL <3 months
• PostgreSQL <3 months
• Render <3 months
• SQLite <3 months
• Vercel <3 months
• VS Code <3 months

Projects

• GreenGrow AI - Fertilizer Recommendation System ↗
  Python, Streamlit, Flask, HTML, CSS, Scikit-learn, Pandas, NumPy, SQLite, Git/GitHub

  Developed an ML-based fertilizer recommendation application using soil nutrient values such as Nitrogen, Phosphorus, Potassium, and environmental parameters. Trained and deployed a machine-learning model achieving 88% prediction accuracy across 6 fertilizer categories.

• Home Made Products - E-Commerce Web Application ↗
  Python, Flask, SQLite, HTML, CSS, JavaScript, Render

  Developed a web-based e-commerce platform for browsing and managing homemade products through a clean and intuitive user interface. Implemented product listing, product-detail views, and streamlined navigation to improve the customer browsing experience.

• RecoverPay AI — Agentic Revenue Recovery for Failed Digital Payments ↗
  Python, FastAPI, React, SQLAlchemy, SQLite, Groq AI, Razorpay APIs & Webhooks, JWT, Recharts, Git/GitHub

  Built an agentic payment-recovery platform for failed Razorpay transactions using signed webhooks, AI-driven recovery decisions, policy validation, and automated recovery links. Developed a guarded Groq AI agent with deterministic policy checks to prevent duplicate retries and safely escalate high-risk cases. Achieved 77.16% revenue recovery in a 100-transaction simulation, recovering ₹1,53,849 of ₹1,99,389 at-risk revenue.

Courses & certifications

• Python for Data Science · NPTEL · 2025
• Internship Completion Certificate · Skill Craft Technology · 2025

🏆 Achievements & awards

• Smart India Hackathon (SIH) - Participant · 2025
• SAP HackFest - Participant · 2025
• Sentinel Hackathon - Participant · 2025