Skip to content
View themakkonen's full-sized avatar
🎯
Focusing
🎯
Focusing
6 followers · 6 following

Block or report themakkonen

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
themakkonen/README.md

Hola, I'm Rollakanti Harshith Reddy 👋

🎓 AI/ML Enthusiast | 💻 Full Stack Developer | 🚀 Fintech Builder

🚀 About Me

  • Passionate about building scalable real-world applications using AI and full stack technologies
  • Currently developing Lume – a student wallet platform with payments & transit (NCMC) integration
  • Exploring Machine Learning, NLP, and intelligent automation systems
  • Worked as an AI/ML Intern, gained hands-on experience in model development and deployment

🛠️ Skills & Tools

Programming:
Python, Java

Frameworks & Technologies:
Flask, Flutter, Django

ML/DL:
TensorFlow, PyTorch, Scikit-learn

Data Science:
Pandas, NumPy, Matplotlib

Databases:
SQL, NoSQL

Other:
REST APIs, JWT Authentication, KYC Systems

🌟 Highlights

  • Built Lume, a full-stack student wallet with PPI & NCMC integration
  • Developed secure systems with authentication, KYC, and transaction handling
  • Worked on fraud detection, NLP-based QA systems, and predictive models
  • Designed and deployed real-time ML and backend systems
  • Focused on building scalable and production-ready applications

📫 Connect With Me

⭐️ Open to internships, collaborations, and opportunities in AI/ML & Full Stack Development

Popular repositories Loading

  1. UPI-Fraud-Detection-Using-Deep-Learning UPI-Fraud-Detection-Using-Deep-Learning Public

    Real-time UPI fraud detection using LSTM for sequence analysis and Autoencoders for anomaly detection through reconstruction errors.

    HTML 1

  2. Event-Management-System-AI-explore Event-Management-System-AI-explore Public

    This application is just basic. Still it is under development. And Accurate AI model is under deployment, That can react to every query within the application.

    HTML 1

  3. Question-Answering-System-Using-DistilBERT-NQ- Question-Answering-System-Using-DistilBERT-NQ- Public

    A Question Answering (QA) system built on a pre-trained BERT model to generate accurate, context-aware responses. By encoding both questions and context with BERT embeddings, the system identifies …

    HTML 1

  4. Credit-Card-Fraud-Detection Credit-Card-Fraud-Detection Public

    A real-time fraud detection system that identifies suspicious credit card transactions using machine learning. The web application analyzes transaction patterns and provides instant risk assessment…

    HTML 1

  5. Spam-detection Spam-detection Public

    This is a simple and interactive web application that detects whether a given message is spam or not using a machine learning model. It uses sentence embeddings (SimCSE) and a trained classifier to…

    HTML 1

  6. House-Price-Predictor House-Price-Predictor Public

    This is a simple and interactive House Price Prediction web app built with Flask and Linear Regression. Users can input square footage, number of bedrooms, and bathrooms to get an instant house pri…

    HTML 1