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Website
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Skills
Web, Mobile & Software Dev
IT & Networking
Mobile Apps
Python
Web Programming
Desktop Applications
Databases
Data Science & Analytics
Web Application
Scripting
API Integration Specialist
Data Structures and Algorithms
Devops
Statistics
Big Data Engineering
Data Analytics
Specialization
Computer Science
Hourly rate
$40/hr
Preferred payment options
Ethereum
ETH
USDT
USDC
About me
Stop losing money to volatility. I build automated systems that protect capital and execute trades with precision. I am a Senior Python Developer with 5+ years in Fintech, specifically focused on Algorithmic Trading and Risk Management. I don't just write code; I understand financial metrics (Sharpe, Drawdown) and build logic intended for real-money environments. My Core Services: šŸ¤– Trading Bots: Automated execution scripts for Crypto/Stocks (Binance, Bybit, IBKR) using CCXT and Web3.py. šŸ›”ļø Risk Control Systems: Real-time volatility monitoring engines that trigger auto-hedging or alerts (Stop-loss/Take-profit logic) via Telegram/Discord. šŸ“Š Data Pipelines: High-frequency scraping & cleaning of financial data for backtesting using Pandas and NumPy. šŸ“± Dashboards: Cross-platform monitoring tools (macOS/iOS) built with Flutter. Why work with me? Reliability: My code is built for stability to handle financial risks. Speed: I maintain a private library of pre-built financial modu

Work experience

Independent Fintech Consultant
September 2020 ā€“ Current time
Job title
Senior Python Quant Developer
Work experience & achievements
Specialized in building automated trading infrastructure and risk management tools for private clients. 1. Real-Time Risk Monitor (Python/FastAPI): Built a low-latency volatility engine processing WebSocket feeds from major exchanges (Binance/Bybit). Implemented Z-score probability logic to trigger automated hedging and Telegram alerts. Outcome: Reduced drawdown by 15% during high-volatility events for managed portfolios. 2. Algo Trading Bots: Developed async execution scripts using CCXT for arbitrage and trend-following strategies. Built a backtesting pipeline using Pandas/NumPy to validate strategies against historical data. 3. Cross-Platform Dashboard (Flutter): Created a macOS/iOS app for monitoring bot health, PnL, and exposure in real-time. Tech Stack: Python 3.10+, AsyncIO, Docker, PostgreSQL, Redis, AWS.
TechFin Solutions
June 2019 ā€“ August 2020
Job title
Python Backend Developer
Work experience & achievements
Work description and achievements: Focused on backend infrastructure for a financial data provider. High-Performance APIs: Designed and deployed RESTful APIs using Django DRF to serve historical market data to 500+ daily active users. Database Optimization: Optimized PostgreSQL queries and implemented Redis caching, reducing data retrieval latency by 40%. CI/CD Implementation: Set up automated testing and deployment pipelines using Docker and GitLab CI, ensuring code stability before production releases. Tech Stack: Python, Django, PostgreSQL, Docker, Redis.
Freelance / Data Specialist
January 2018 ā€“ May 2019
Job title
Web Scraping & Data Engineer
Work experience & achievements
Delivered custom data extraction solutions for market research firms. Complex Web Scraping: Developed robust spiders using Scrapy and Selenium to harvest financial reports from JavaScript-heavy websites. Anti-Bot Bypass: Implemented proxy rotation and user-agent randomization techniques to bypass CAPTCHAs and IP bans effectively. Data Cleaning Pipeline: Built automated scripts to clean, normalize, and export unstructured data into CSV/JSON formats for analysis. Tech Stack: Python, Scrapy, Selenium, Beautiful Soup, Pandas.

Education

Georgia Institute of Technology (Georgia Tech)
Graduation year: 2019
Level of study
Bachelor
Major / Field of study
Computer Science & Mathematics
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