Python Fullstack Developer with 4+ years of experience building scalable backend systems, trading automation pipelines, cloud infrastructure, and data-driven products.

I enjoy solving complex engineering problems across software development, DevOps, and analytics.

• Building algorithmic trading and backtesting systems with Python, FastAPI, Flask, and MetaTrader 5
• Designing and operating cloud infrastructure on AWS (70+ servers, high-availability deployments)
• Improving performance and cost efficiency (up to 50% cloud cost reduction in production workloads)
• Developing automation-first systems using Docker, Jenkins, Redis, and Terraform
• Previously worked in fintech analytics to optimize approval and campaign performance with SQL + Python

Languages: Python, Java, C, SQL, MQL
Frameworks: FastAPI, Flask, Django, DRF, Spring Boot
Cloud & DevOps: AWS (EC2, ECS, S3), Docker, Jenkins, Terraform, Linux
Databases: MySQL, SQLite, Redis
Data & Analytics: Pandas, NumPy, SQL-based analysis
Other: REST APIs, Git, GitHub, GitLab

• Built an end-to-end TradingView strategy backtesting engine with dynamic entry/exit logic and equity curve analysis
• Integrated Python with MetaTrader 5 and built APIs for automated trade execution and monitoring
• Managed AWS infrastructure at scale and reduced cloud costs by up to 50%
• Built Telegram bot integrations for real-time alerts, strategy status, and execution notifications

• Analyzed large datasets to improve loan approval strategies and campaign outcomes
• Built automation scripts and data-driven workflows for better partner campaign performance

• Led backend development and deployment across development-to-production environments
• Improved API response times via caching and performance optimization
• Managed AWS billing/resource utilization and cut cloud development costs by up to 40%

Scalable trading automation ecosystem with strategy backtesting, risk-aware sizing, and cloud-native deployment.

Python-based SHA-256 and block validation workflows with AWS ECS orchestration (up to 1000 instances), Docker optimization, and Terraform IaC.

Built a SAT-based Sudoku solver using Python + PySAT with CNF encoding for complete row/column/sub-grid constraints.

React + MySQL dashboard for product lifecycle tracking with authenticated access and live status visibility.

• Email: bhupisingh080@gmail.com
• LinkedIn: https://linkedin.com/in/bhupinder-kumar-sde
• GitHub: https://github.com/bhupi080
• Portfolio: bhupisingh.in
• YouTube: https://www.youtube.com/@bhupisingh080

• Add GitHub pinned repositories for:
  1. Trading Automation / Backtesting
  2. Bitcoin Mining Infra
  3. Sudoku SAT Solver
  4. Product Tracking Dashboard
• Add concise README files in each repo with architecture diagram, setup steps, and results/metrics.
• Keep contributions active with small weekly commits (quality > quantity).