2025 - 2025: Rank-Based Matrix MLM Software
Tasks:
A subscription-based MLM platform with real-time tree visualization, rank progression, and a shop for Club Points. Built using FastAPI, React.js, PostgreSQL, and AWS services, featuring JWT/OAuth2 security, dynamic earnings distribution, and CI/CD pipelines for seamless monthly subscriptions.
2024 - 2024: Custom Multi-Tier Web Application
Tasks:
A scalable, multi-tier Django-based system with separate user and admin frontends, deployed on AWS for high availability. Utilized Next.js, PostgreSQL (RDS), and AWS Amplify/S3, delivering robust authentication, efficient data processing, and a streamlined user experience.
2023 - 2023: Killer Hedge Trading System
Tasks:
An automated Binance futures trading system leveraging Hedging, Martingale, and Tunnel strategies. Built with Python, FastAPI, DynamoDB, and real-time market data APIs. Provided dual-token trades, dynamic order creation, and instant hedge or take-profit actions for enhanced profitability in volatile cryptocurrency markets.
2023 - 2023: Passive Brain Telegram to Trade
Tasks:
A Python-based connector that parses Telegram signals for Binance futures trades. Extracts trade details like entry, stop loss, and take profit, automatically executes orders, and updates users via Telegram notifications. Deployed on AWS (EC2, RDS) for efficient, secure, and real-time trading automation.
2022 - 2023: Live Price Websocket
Tasks:
A real-time market data streaming solution for Binance futures, powered by Python websockets. Auto-reconnect, dynamic token tracking, and micro-function triggers upon price changes. Deployed on AWS with Lambda and EC2 restarts for continuous operation, enabling traders to act instantly on market fluctuations.
2022 - 2022: Cryptocurrency Trading Simulation & Analysis
Tasks:
Simulated trades from custom TradingView Pine Script strategies, generating 900 daily entries for major USDT pairs. Stored data in MongoDB and used Python (Flask, pandas) for deep analysis of token profitability, strategy success, and trend patterns. Deployed on AWS in Tokyo for minimal latency.
2022 - 2022: BullParrot ? Cryptocurrency Trading App
Tasks:
A Binance Futures trading app enabling leveraged trades on major pairs. Developed in Python Flask with MongoDB, offering real-time balances, position management, and quick alerts via email or Telegram. Features dynamic leverage, margin settings, and robust order functions to enhance user trading experience and profitability.
2019 - 2019: iHouse ? Real Estate Notification Platform
Tasks:
An hourly web-scraping solution for Swiss real estate listings, alerting users to new properties. Built with Symfony, MySQL, and cron jobs, offering mortgage and tax calculators. Aggregates listings from sites like comparis.ch and homegate.ch, ensuring timely notifications and simplified property search in Switzerland
2014 - 2016: Managed and maintained digital assets
Place of Work: Baar
Role: Assistant Marketing Junior Developer
Customer: GHR Global Human Resources AG
Tasks:
2005
Bharathiar University, Coimbatore, India
BSc in Computer Science
Focus:
CERTIFICATIONS
udemy.com
Profile
Results-driven Full-Stack Software Engineer specializing in Python, AWS, and modern web frameworks. Experienced in architecting scalable back-end systems, building AI-powered fintech solutions, and creating high-performance cloud-based applications. Adept at algorithmic trading, business process automation, and data-driven analysis. Passionate about innovation, precision, and pushing boundaries, both in technology and in life.
Skills
Soft Skills
2025 - 2025: Rank-Based Matrix MLM Software
Tasks:
A subscription-based MLM platform with real-time tree visualization, rank progression, and a shop for Club Points. Built using FastAPI, React.js, PostgreSQL, and AWS services, featuring JWT/OAuth2 security, dynamic earnings distribution, and CI/CD pipelines for seamless monthly subscriptions.
2024 - 2024: Custom Multi-Tier Web Application
Tasks:
A scalable, multi-tier Django-based system with separate user and admin frontends, deployed on AWS for high availability. Utilized Next.js, PostgreSQL (RDS), and AWS Amplify/S3, delivering robust authentication, efficient data processing, and a streamlined user experience.
2023 - 2023: Killer Hedge Trading System
Tasks:
An automated Binance futures trading system leveraging Hedging, Martingale, and Tunnel strategies. Built with Python, FastAPI, DynamoDB, and real-time market data APIs. Provided dual-token trades, dynamic order creation, and instant hedge or take-profit actions for enhanced profitability in volatile cryptocurrency markets.
2023 - 2023: Passive Brain Telegram to Trade
Tasks:
A Python-based connector that parses Telegram signals for Binance futures trades. Extracts trade details like entry, stop loss, and take profit, automatically executes orders, and updates users via Telegram notifications. Deployed on AWS (EC2, RDS) for efficient, secure, and real-time trading automation.
2022 - 2023: Live Price Websocket
Tasks:
A real-time market data streaming solution for Binance futures, powered by Python websockets. Auto-reconnect, dynamic token tracking, and micro-function triggers upon price changes. Deployed on AWS with Lambda and EC2 restarts for continuous operation, enabling traders to act instantly on market fluctuations.
2022 - 2022: Cryptocurrency Trading Simulation & Analysis
Tasks:
Simulated trades from custom TradingView Pine Script strategies, generating 900 daily entries for major USDT pairs. Stored data in MongoDB and used Python (Flask, pandas) for deep analysis of token profitability, strategy success, and trend patterns. Deployed on AWS in Tokyo for minimal latency.
2022 - 2022: BullParrot ? Cryptocurrency Trading App
Tasks:
A Binance Futures trading app enabling leveraged trades on major pairs. Developed in Python Flask with MongoDB, offering real-time balances, position management, and quick alerts via email or Telegram. Features dynamic leverage, margin settings, and robust order functions to enhance user trading experience and profitability.
2019 - 2019: iHouse ? Real Estate Notification Platform
Tasks:
An hourly web-scraping solution for Swiss real estate listings, alerting users to new properties. Built with Symfony, MySQL, and cron jobs, offering mortgage and tax calculators. Aggregates listings from sites like comparis.ch and homegate.ch, ensuring timely notifications and simplified property search in Switzerland
2014 - 2016: Managed and maintained digital assets
Place of Work: Baar
Role: Assistant Marketing Junior Developer
Customer: GHR Global Human Resources AG
Tasks:
2005
Bharathiar University, Coimbatore, India
BSc in Computer Science
Focus:
CERTIFICATIONS
udemy.com
Profile
Results-driven Full-Stack Software Engineer specializing in Python, AWS, and modern web frameworks. Experienced in architecting scalable back-end systems, building AI-powered fintech solutions, and creating high-performance cloud-based applications. Adept at algorithmic trading, business process automation, and data-driven analysis. Passionate about innovation, precision, and pushing boundaries, both in technology and in life.
Skills
Soft Skills