Building the Future with Distributed Systems and Cutting-Edge Web Solutions.
With a deep passion for crafting scalable distributed systems and dynamic web applications, I bring ideas to life through code and design. Explore my portfolio to see my expertise in building large-scale databases, innovative websites, and advanced LLM systems, showcasing my proficiency in full-stack development and modern technologies.
Articles
Art of Mastering Ethereum Transactions: High-Speed Blockchain Data for Your Products
July 1, 2023Part 1: Demystifying Ethereum: Transactions, Account States, Transaction Types, and Events
July 8, 2024Part 2: Ethereum Blockchain: Understanding State Maintenance, Consensus, Block Addition, and Forking
July 21, 2024
Projects
Revolutionizing NFT Management: A Full-Stack Platform Built with React.js, Node.js, GraphQL, and AWS
This innovative platform offers an immersive way to explore and manage NFTs, with features like wallet reports, collection tracking, and creator insights. Built with React.js, Node.js, and GraphQL, it leverages AWS for scalable cloud infrastructure and integrates a robust blockchain index using Cassandra, MongoDB, and Ethereum to efficiently handle over 20 million transactions.
Fashion-Focused TikTok Scraper with Machine Learning-Driven Content Filtering
This project involved building a specialized TikTok scraper to extract fashion-related content, utilizing Python and Selenium for web scraping and MongoDB for data storage. The project assigns relevance scores to posts using machine learning and NLP, ensuring that only the most relevant fashion content is retained. Deployed on AWS with a scalable MongoDB Atlas cluster, this solution balances efficiency with cost-effectiveness.
Comprehensive Full Stack Chat Application with Dockerized Microservices
This full stack chat application, built using React, Spring Boot, and WebSockets, features a robust architecture with microservices orchestrated through Eureka and Docker Compose. The project includes extensive logging, error handling, and both unit and integration testing for frontend and backend services, ensuring reliability and scalability in a containerized environment.
Proprietary Task Manager: A Jira-Like Solution with React, Node.js, and MongoDB
This proprietary task management application, inspired by Jira, is built using React, Node.js, and MongoDB. It provides a streamlined interface for managing tasks, tracking progress, and enhancing team collaboration. The project focuses on delivering a robust and intuitive tool tailored to the needs of modern development teams.
High-Performance Elastic Search Server in Go: Optimized Search API with MongoDB
This project involves developing a multithreaded Elastic Search server in Go, designed to enhance search query performance on MongoDB. By leveraging Go's concurrency features, the server delivers efficient and fast search capabilities through its robust API, making it ideal for high-demand applications.
Optimize Reads In LSM Based Database (RocksDB)
Proposed a probabilistic constant time solution to reduce high read latency for high-read/low-write data in LSM Tree based Rocks DB, an embedded key-value store. We solve this problem using probabilistic data structures(Bloom filters).
Blockchain-to-Database Indexer: High-Performance Data Pipelines and Storage
This project involves designing a robust blockchain indexer that leverages Cassandra, MongoDB, Hadoop, Ethereum, and Redis to efficiently store and query over 20 million blockchain transactions, including more than 1 billion NFT and ERC20 transfers. The solution features distributed data pipelines built with Airflow, Spark, and Node.js, capable of processing millions of daily operations.
Advanced Java Lucene-Based Search Engine with Custom Ranking Algorithms
This project involves building a sophisticated search engine using Java and the Lucene library, with a focus on object-oriented design and custom ranking algorithms. The search engine parses and indexes documents, implements multiple ranking strategies including TF-IDF and relevance feedback, and introduces a novel optimized TF-IDF algorithm that enhances search accuracy by weighting query terms based on their relevance.
