AI Job Application Automation with Real-Time Email Tracking
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6
Business Intelligence Dashboard | React + FastAPI
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8
Building efficient data pipelines is not only about handling large volumes of data—it's about doing it with minimal resources and low latency.
In this project, I built a lightweight market data pipeline capable of processing 10+ million market ticks per day while running on only 1GB RAM.
Exchange WebSocket Streams
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Concurrent Go Parser
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Data Validation & Normalization
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Apache Parquet (Columnar Compressed Storage)
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DuckDB Analytics
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FastAPI APIs & Live Dashboard
Tech Stack
Python • Go • FastAPI • DuckDB • Apache Parquet • Docker • WebSockets
This project strengthened my expertise in high-performance data engineering, concurrent programming, distributed systems, and real-time analytics.
Currently building scalable Data Engineering, Backend Engineering, and Low-Latency Trading Infrastructure solutions.
#Python #DataEngineering #Go #DuckDB #ApacheParquet #FastAPI #Docker #WebSockets #RealTimeData #Backend #SoftwareEngineering
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14
Built a high performance low-latency crypto arbitrage engine for real-time market monitoring. The system uses Rust and Go for ultra fast processing, Python for orchestration, WebSockets for live market feeds, mempool monitoring, flash loan support, and a real-time dashboard for tracking arbitrage opportunities across decentralized exchanges.