
Siva Koneru
Ex Bloomberg Engineer AI and Automation Expert
Habilidades

Revisa mis servicios


Porfolio
Experiencia laboral
Full Stack Software Engineer (Contract)
GoodNotes • Freelance
Nov 2025 - Apr 2026 • 5 mos
• Triaged and resolved 100+ production defects across iOS and backend systems, improving application stability and user experience; leveraged Cursor AI and Claude for intelligent code analysis, refactoring, and accelerated debugging workflows. • Built AI-augmented engineering workflows integrating Cursor AI and Claude MCPs (Jira, Slack, Notion) for automated daily briefings and context aggregation; reduced bug triage cycle time by enabling intelligent code analysis and refactoring across iOS and cross platform systems. • Led UI feature development and performance optimisation, delivering responsive design improvements that measurably improved core web vitals across key product surfaces.
Bloomberg
Tiempo completo • 4 yrs 5 mos
Senior Software Engineer
Jun 2020 - Jun 2021 • 1 yr
• Engineered high-performance aggregation systems for analytical reporting on Fixed Income trades, leveraging Apache Druid to reduce data processing time by 60%. • Generated actionable insights from Fixed Income order flow based on completed trades, facilitating data-driven decision-making for traders and achieving 90%+ positive feedback on system recommendations. • Transitioned legacy UNIX-based Python applications to a Linux environment, establishing new Jenkins CI/CD pipelines that deprecated ~30 codebases and increased automated test coverage by 20%.
Software Engineer
Jan 2017 - Jun 2020 • 3 yrs 5 mos
• Conceptualised and implemented a recommendation system enabling sales representatives to identify product sales leads from user activity data, driving a 12% increase in lead conversion rates. • Streamlined internal sales dashboards, reducing manual report generation by 50% and saving significant analyst hours for senior management and sales teams. • Re-architected legacy stack to improve sales dashboard performance, achieving a 70% increase in load speed and reducing server infrastructure costs by 30%.