👋 Hi, I'm Nitesh Kumar Singh (NKSCODER), a Senior Python Developer with 11+ years of experience building scalable backend systems, fintech platforms, AI-driven automation solutions, and high-performance data processing applications.

I specialize in Python, Django, PostgreSQL, distributed systems, AI-powered financial analytics, and automated trading platforms.

• 🔧 Core Technologies: Python, Django, PostgreSQL, FastAPI, REST APIs, Docker, RabbitMQ, Ray, Celery
• 💻 Experience: 11+ years in backend engineering, fintech systems, banking solutions, and scalable architectures
• 🤖 Current Focus:
  • AI-powered Bank Statement Analysis
  • Automated Stock Trading Systems
  • Financial Data Intelligence & Risk Analysis
  • Distributed Processing & Workflow Automation
• 📈 Domain Expertise:
  • Banking & Fintech Platforms
  • Transaction Intelligence
  • Large-Scale Data Processing
  • Trading Automation
• 🌱 Exploring modern AI workflows, distributed computing, and intelligent financial systems
• 🎯 Open to collaborating on innovative AI, fintech, and backend engineering projects

• Building scalable systems for parsing and analyzing bank statements (PDF/CSV/XML)
• Transaction categorization, risk indicators, and anomaly detection
• Party extraction, normalization, and deduplication
• High-volume financial data pipelines using Python, Pandas, Ray, and RabbitMQ

• Developing intelligent automated trading platforms
• Real-time market data processing and strategy execution
• Risk management and signal generation systems
• Trading automation using Python, APIs, schedulers, and distributed workers

• Designing scalable backend architectures using Python & Django
• REST APIs, authentication systems, async task processing
• Distributed systems with Celery, RabbitMQ, and Ray
• High-performance microservices and monolithic applications

• PostgreSQL schema optimization and query tuning
• Handling high-throughput transactional systems
• Large-scale data ingestion and analytics pipelines

• Dockerized deployments
• Linux server management
• CI/CD pipelines
• Monitoring, logging, and production optimization

• Python
• Django
• Django REST Framework
• FastAPI
• GraphQL
• REST APIs

• PostgreSQL
• MySQL
• Oracle

• Celery
• RabbitMQ
• Ray
• Pandas

• Docker
• AWS EC2
• Linux
• Jenkins
• GKE (Google Kubernetes Engine)

• Elasticsearch
• Algolia
• Firebase Cloud Messaging (FCM)

• JavaScript
• Node.js
• jQuery
• HTML
• WordPress
• Magento

Feb 2025 – Present | New Delhi

• Building large-scale bank statement analysis systems
• Designing distributed financial data pipelines
• Implementing transaction intelligence and risk indicators
• Developing scalable backend services using Django & PostgreSQL
• Managing async workflows using Celery, RabbitMQ, and Ray

Apr 2023 – Feb 2025

• Developed fintech and investment banking applications
• Built REST APIs and reporting systems
• Worked on high-volume financial applications
• Implemented secure authentication and RBAC systems

Jun 2016 – Mar 2023

Worked on multiple enterprise platforms including:

• Banking applications
• Marketplace systems
• Resident management systems
• Hospitality and booking platforms
• Payment gateway integrations

Tech Stack: Python, Django, PostgreSQL, Pandas, Celery, RabbitMQ, Ray

• Large-scale bank statement ingestion & processing
• AI-assisted transaction analysis and categorization
• Risk detection and fraud indicators
• Distributed financial computation pipelines
• Async and fault-tolerant architecture

Tech Stack: Python, Django, PostgreSQL, APIs, Scheduler, WebSockets

• Automated trade execution systems
• Strategy-based trading automation
• Real-time market monitoring
• Portfolio and risk management
• Multi-user trading workflows

skills = {
    "languages": [
        "Python",
        "JavaScript",
        "SQL"
    ],
    "backend": [
        "Django",
        "Django REST Framework",
        "FastAPI",
        "Node.js"
    ],
    "databases": [
        "PostgreSQL",
        "MySQL",
        "Oracle"
    ],
    "distributed_systems": [
        "Celery",
        "RabbitMQ",
        "Ray"
    ],
    "devops": [
        "Docker",
        "AWS",
        "Linux",
        "Jenkins",
        "CI/CD"
    ],
    "specialization": [
        "Bank Statement Analysis",
        "Financial Data Processing",
        "AI Trading Automation",
        "Transaction Intelligence",
        "Backend Architecture"
    ]
}

• 📧 Email: nkscoder@gmail.com
• 🌍 LinkedIn: https://www.linkedin.com/in/nitesh-kumar-singh-897437a2/
• 🐦 Twitter/X: https://twitter.com/nks_coder
• 💻 GitHub: https://github.com/nkscoder

• Artificial Intelligence
• Financial Technology
• Trading Automation
• Distributed Systems
• Scalable Backend Architectures
• System Design
• Performance Optimization

⭐ Always exploring new technologies, solving complex backend challenges, and building intelligent automation systems.