Projects

Full-Stack Web Apps, AI/Machine Learning, and Data Analysis.

Market Crash Detection

Market Crash/Anomaly Detection

An advanced system that detects market anomalies and potential crash indicators using machine learning and statistical analysis.

A sophisticated financial monitoring system that combines machine learning with statistical methods to identify market anomalies and predict potential crashes. Features real-time analysis of market indicators, pattern recognition, and early warning systems for risk management.

  • Python
  • TensorFlow
  • Pandas
  • NumPy
  • Scikit-learn
  • Data Analysis
  • Statistical Models
View on GitHub
LLM Evaluation Platform

LLM Evaluation Platform

A platform that allows users to evaluate the performance of LLMs on a variety of tasks.

A comprehensive platform for evaluating Large Language Models (LLMs) across various tasks. Features include automated testing, performance metrics, and comparative analysis tools. The platform supports multiple evaluation frameworks and custom test case creation.

  • Python
  • PyTorch
  • Transformers
  • FastAPI
  • React
  • Docker
View on GitHub
Stock Analysis Platform

Stock Analysis and Automation

A platform that allows users to analyze stock data and automate trading strategies.

An advanced financial analysis platform that leverages LLMs to analyze market trends, automate trading decisions, and provide insights. Features include real-time data processing, automated strategy execution, and comprehensive reporting tools.

  • Python
  • TensorFlow
  • Pandas
  • NumPy
  • yfinance API
  • Scikit-learn
  • React
View on GitHub
Brain Tumor Classification

Brain Tumor Classification

A transfer learning model and custom convolution layer model that classify the tumor of a brain MRI scan.

A deep learning solution for accurate brain tumor classification using MRI scans. Implements both transfer learning and custom CNN architectures to achieve high accuracy in tumor detection and classification. Includes data preprocessing, augmentation, and extensive model evaluation.

  • Python
  • TensorFlow
  • Keras
  • OpenCV
  • NumPy
  • Scikit-learn
View on GitHub
Bank Churn Prediction

Bank Churn Prediction

Predict the likelihood that a customer may exit your bank, and learn methods on how to keep such customers loyal based on their personalized data.

A machine learning model that analyzes customer behavior patterns to predict potential churners. Implements various ML algorithms to identify key factors contributing to customer attrition and provides actionable insights for customer retention strategies.

  • Python
  • Scikit-learn
  • Pandas
  • NumPy
  • Matplotlib
  • XGBoost
View on GitHub
BlockCarbon Credits

BlockCarbon Credits

A platform that allows users to calculate the carbon credits of a given land area.

A blockchain-based platform for calculating and trading carbon credits. Features satellite imagery analysis, machine learning for land classification, and smart contracts for credit verification and trading. Promotes environmental sustainability through transparent carbon credit management.

  • Python
  • Blockchain
  • Smart Contracts
  • Satellite API
  • TensorFlow
  • Web3.js
View on GitHub
Bulba Code Rating

Bulba Code Rating Multiturn

A client delivered large language model, platform and code are proprietary.

A proprietary LLM-powered platform for code analysis and rating. Features multi-turn conversations for detailed code review, automated quality assessment, and comprehensive reporting. Implements advanced NLP techniques for accurate code understanding and evaluation.

  • Python
  • NLP
  • LLM Integration
  • Code Analysis
  • API Development
  • Cloud Services
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