Brian Permut: Full-Stack Developer, Data Scientist, and AI Enthusiast
Welcome to my professional showcase! This portfolio highlights my versatility as a full-stack developer with a passion for data science, machine learning, and blockchain technology. Driven by curiosity and a dedication to continuous learning and innovation, my journey in the tech world has been transformative. Explore my skills, experiences, and projects that define my career.
Programming Languages
Python: My go-to language for developing robust applications, automating processes, and performing comprehensive data analysis. Python’s versatility and extensive library support make it ideal for a wide range of tasks.
Solidity: I have leveraged Solidity to create secure and efficient smart contracts, custom coins, and NFTs. My work in blockchain has involved designing decentralized applications and exploring innovative uses of blockchain technology.
JavaScript (React, Node.js): As a full-stack developer, I am proficient in both front-end and back-end development. Using React, I build dynamic and interactive user interfaces, while Node.js allows me to develop scalable and efficient server-side applications.
Libraries and Frameworks
PyTorch: Building and training deep learning models is a core part of my skill set. PyTorch enables me to experiment with neural networks and push the boundaries of machine learning.
pandas: For data manipulation and analysis, pandas is indispensable. I use it extensively to handle large datasets, perform time series analysis, and transform raw data into actionable insights.
matplotlib & seaborn: Data visualization is crucial for understanding and communicating findings. These libraries help me create detailed and informative visualizations that bring data stories to life.
numpy: Efficient numerical computing is the backbone of many data science tasks. numpy provides the tools I need to process data swiftly and effectively.
scikit-learn: Implementing machine learning algorithms for classification, regression, and clustering is made straightforward with scikit-learn. It’s a powerful tool in my data science arsenal.
TensorFlow: While I primarily use PyTorch, TensorFlow is another key framework in my toolkit for building and deploying machine learning models.
Blockchain and Smart Contracts
Blockchain Development: My work in blockchain has encompassed creating smart contracts, custom cryptocurrencies, and NFTs. I am fascinated by the potential of decentralized technologies to transform industries.
Smart Contracts: Designing and deploying smart contracts has allowed me to automate processes and ensure secure transactions in decentralized applications.
NFT Creation: The world of digital art and collectibles is evolving rapidly, and I have been at the forefront by developing platforms for creating, buying, and selling NFTs.
Custom Cryptocurrency: Creating and launching custom coins on the Ethereum blockchain has been a highlight of my career. These projects involve rigorous security measures and compliance protocols to maintain integrity.
Technologies and Tools
Docker: Containerization is essential for modern application development and deployment. Docker helps me ensure that my applications run smoothly across different environments.
Flask: For building and deploying web applications, Flask is my framework of choice. It offers simplicity and scalability, perfect for a wide range of projects.
Next.js: Exploring server-side rendering and static site generation with Next.js has enhanced my ability to build high-performance web applications.
GitHub: As an active contributor to open-source projects, GitHub is where I collaborate with other developers, troubleshoot issues, and improve existing codebases.
Linode: I have deployed and managed cloud servers on Linode, ensuring reliable and scalable hosting for my web applications.
Cloud Providers: Familiar with AWS and Google Cloud, I leverage these platforms to host and scale my applications, ensuring they can handle growing user demands.
AI and Generative AI Experience
Generative Art: Creating generative art is a hobby that combines my artistic side with my technical skills. I use AI algorithms to generate unique and captivating art pieces.
AI-Driven Development: Using AI to write code and solve problems has significantly increased my productivity. I can solve problems and develop solutions 10X faster with AI assistance.
Machine Learning Models: I have extensive experience running and training machine learning models on specialized data. My expertise includes data preprocessing, model selection, training, and evaluation to achieve optimal performance.
Creative Projects: Beyond traditional applications, I explore various creative uses of AI, pushing the boundaries of what’s possible with technology.
Data Science & Machine Learning Projects
Financial Data Analysis: Building time series forecasting models to predict stock market trends has been a major focus. Using libraries like pandas, numpy, and scikit-learn, I transform data into predictive insights.
Economic Data Models: Analyzing and forecasting economic indicators with advanced machine learning techniques has allowed me to provide valuable insights into economic trends. PyTorch and TensorFlow are crucial tools for handling large datasets and complex computations.
Conclusion
My journey in software development, data science, and blockchain has been driven by a passion for innovation and a commitment to excellence. Whether it’s creating smart contracts, analyzing financial data, or developing cutting-edge web applications, I am always eager to take on new challenges and push the boundaries of what’s possible.
Feel free to explore my work and reach out if you are interested in collaborating or learning more about my projects. Thank you for visiting my showcase!