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Year
2025
Tech & Technique
Next.js, React, Typescript, Python, FastAPI, GitHub Actions (CI/CD), Docker, AWS, PostgreSQL, Numpy, Pandas, Scikit-learn, Pytorch
Description
A no-code platform that allows investors to create machine learning models for predicting market direction.
Key Features:
Key Features:
- 🤖 No-Code Model Builder: Visually design and train sophisticated machine learning models for market prediction without writing a single line of code.
- 📊 Integrated Financial Data: Access comprehensive historical and real-time market data directly within the platform.
- 📈 Predictive Analytics: Utilize powerful algorithms specifically tailored to identify patterns and forecast market direction.
- ⏱️ Backtesting & Simulation: Validate your models' performance against historical market data in simulated environments.
- ✨ Intuitive Investor Interface: A user-friendly design makes complex ML model creation accessible to investors of all technical levels.
My Role
Full Stack Developer
- 🎨 Frontend: Developed an intuitive and responsive user interface for the no-code platform, enabling investors to easily configure and train machine learning models without writing code.
- 💻 Backend: Built robust APIs and backend services to handle data processing, model training execution, and prediction generation.
- 🧠 Machine Learning Integration: Integrated and managed machine learning libraries and frameworks, providing a seamless experience for users to leverage powerful predictive models.
- 📊 Data Handling: Designed and implemented solutions for fetching, processing, and storing financial market data, ensuring data accuracy and availability for model training and prediction.
- 💾 Database Management: Established and maintained database schemas to efficiently store market data, user configurations, and trained model parameters.
- ☁️ Infrastructure & Deployment: Managed cloud infrastructure and deployment pipelines, ensuring the platform's scalability, reliability, and performance under varying loads.
- 🧪 Testing & Quality: Implemented comprehensive testing strategies across frontend and backend to ensure the platform's stability and the accuracy of model predictions.