Zhandos Shandybayev

Software Developer

Designed and implemented complex T-SQL data transformation pipelines in Microsoft SQL Server to synchronize portfolio market values across multiple financial systems. Built optimized CTE-based aggregation workflows, reducing portfolio valuation query runtime by 35%. Developed VBA automation to enforce data integrity across financial workbooks used by 15+ stakeholders.

• Reduced portfolio valuation query runtime by 35%
• Developed VBA automation for data integrity across 15+ stakeholders

Founding Engineer & Full-Stack Developer

Joined UCron at its inception to build a full-stack academic platform for college students to plan courses, generate schedules, and track academic history. Built and deployed FastAPI and Next.js microservices integrated with MongoDB, serving 1K+ active users and supporting 10K+ dynamic entities. Implemented automated sitemap generation and SEO optimizations, increasing organic traffic by 30%. Wrote automated tests and validation logic to ensure data consistency across multiple services.

• Served 1K+ active users and 10K+ dynamic entities
• Increased organic traffic by 30% through SEO optimizations

Backend Developer

Developed and optimized RESTful APIs using FastAPI, handling 1000+ daily requests. Built Pytest test suite achieving 90%+ code coverage and reduced regression defects by 30%. Collaborated in weekly code reviews, cutting average API response latency by 15%.

• Achieved 90%+ code coverage with Pytest
• Reduced regression defects by 30%
• Cut average API response latency by 15%

Software Developer

Delivered 20+ VBA enhancements for in-house financial tools, improving automation speed by 40%. Researched and integrated 3 enterprise-grade software solutions, modernizing IT infrastructure. Debugged and resolved 25+ production-level issues, ensuring uninterrupted financial operations.

• Delivered 20+ VBA enhancements improving automation speed by 40%
• Integrated 3 enterprise-grade software solutions
• Resolved 25+ production-level issues

Software Developer, Artificial Intelligence Team

Migrated legacy ROS environment to ROS2, improving performance by 60%. Engineered a Python-based data pipeline transferring telemetry to Google Cloud for remote access. Integrated InfluxDB to optimize data analysis processes, resulting in a 70% increase in data accuracy and a 25% decrease in data processing time.

• Improved performance by 60% through ROS to ROS2 migration
• 70% increase in data accuracy
• 25% decrease in data processing time